#Nvidia cloud services

[sharon-ai]

https://sharonai.com/products/

Sharon AI: Elevating Cloud and AI Solutions for Modern Businesses Sharon AI offers an extensive range of products to enhance your digital infrastructure. Our offerings include robust cloud services, high-performance GPU cloud services, innovative ai services, dedicated Nvidia cloud services, and reliable storage cloud services. Each solution is engineered for efficiency and scalability, meeting the evolving demands of today’s tech-driven businesses. Learn more about our tailored offerings and see how Sharon AI can transform your operational capabilities. https://sharonai.com/products/

[neosciencehub]

Educational Reforms Prepare Youth for AI

Educational Reforms Prepare Youth for AI @neosciencehu #AI #healthcare #NVIDIA #AmazonWebServices #AItechnology #cloudcomputing #cybersecurity

With the establishment of initiatives like the AI curriculum in government schools and strategic partnerships with tech giants, how is Telangana preparing its younger generation for the AI-driven future? Telangana is taking significant strides to prepare its younger generation for an AI-driven future by integrating AI education into the mainstream academic curriculum and forming strategic…

[techtoio]

How AI is Transforming Everyday Technology

Introduction

Welcome to TechtoIO! Today, we delve into one of the most exciting developments in modern technology: artificial intelligence (AI). AI has moved beyond the realm of science fiction and is now an integral part of our daily lives. From smart homes to personalized recommendations, AI is transforming everyday technology in ways we once only dreamed of. In this article, we explore how AI is reshaping various aspects of our lives and what we can expect in the near future. Read to continue

[uniquelish]

World's Most Powerful Business Leaders: Insights from Visionaries Across the Globe

In the fast-evolving world of business and innovation, visionary leadership has become the cornerstone of driving global progress. Recently, Fortune magazine recognized the world's most powerful business leaders, acknowledging their transformative influence on industries, economies, and societies.

Among these extraordinary figures, Elon Musk emerged as the most powerful business leader, symbolizing the future of technological and entrepreneurial excellence.

Elon Musk: The Game-Changer

Elon Musk, the CEO of Tesla, SpaceX, and X (formerly Twitter), has redefined innovation with his futuristic endeavors. From pioneering electric vehicles at Tesla to envisioning Mars colonization with SpaceX, Musk's revolutionary ideas continue to shape industries. Recognized as the most powerful business leader by Fortune, his ventures stand as a testament to what relentless ambition and innovation can achieve. Digital Fraud and Cybercrime: India Blocks 59,000 WhatsApp Accounts and 6.7 Lakh SIM Cards Also Read This....

Musk's influence extends beyond his corporate achievements. As a driver of artificial intelligence and space exploration, he inspires the next generation of leaders to push boundaries. His leadership exemplifies the power of daring to dream big and executing with precision.

Mukesh Ambani: The Indian Powerhouse

Mukesh Ambani, the chairman of Reliance Industries, represents the epitome of Indian business success. Ranked among the top 15 most powerful business leaders globally, Ambani has spearheaded transformative projects in telecommunications, retail, and energy, reshaping India's economic landscape. His relentless focus on innovation, particularly with Reliance Jio, has revolutionized the digital ecosystem in India.

Under his leadership, Reliance Industries has expanded its global footprint, setting new benchmarks in business growth and sustainability. Ambani’s vision reflects the critical role of emerging economies in shaping the global business narrative.

Defining Powerful Leadership

The criteria for identifying powerful business leaders are multifaceted. According to Fortune, leaders were evaluated based on six key metrics:

Business Scale: The size and impact of their ventures on a global level.

Innovation: Their ability to pioneer advancements that redefine industries.

Influence: How effectively they inspire others and create a lasting impact.

Trajectory: The journey of their career and the milestones achieved.

Business Health: Metrics like profitability, liquidity, and operational efficiency.

Global Impact: Their contribution to society and how their leadership addresses global challenges.

Elon Musk and Mukesh Ambani exemplify these qualities, demonstrating how strategic vision and innovative execution can create monumental change.

Other Global Icons in Leadership

The list of the world's most powerful business leaders features numerous iconic personalities, each excelling in their respective domains:

Satya Nadella (Microsoft): A transformative leader who has repositioned Microsoft as a cloud-computing leader, emphasizing customer-centric innovation.

Sundar Pichai (Alphabet/Google): A driving force behind Google’s expansion into artificial intelligence, cloud computing, and global digital services.

Jensen Huang (NVIDIA): The architect of the AI revolution, whose GPUs have become indispensable in AI-driven industries.

Tim Cook (Apple): Building on Steve Jobs' legacy, Cook has solidified Apple as a leader in innovation and user-centric design.

These leaders have shown that their influence isn’t confined to financial success alone; it extends to creating a better future for the world.

Leadership in Action: Driving Innovation and Progress

One common thread unites these leaders—their ability to drive innovation. For example:

Mary Barra (General Motors) is transforming the auto industry with her push toward electric vehicles, ensuring a sustainable future.

Sam Altman (OpenAI) leads advancements in artificial intelligence, shaping ethical AI practices with groundbreaking models like ChatGPT.

These visionaries have proven that impactful leadership is about staying ahead of trends, embracing challenges, and delivering solutions that inspire change.

The Indian Connection: Rising Global Influence

Apart from Mukesh Ambani, Indian-origin leaders such as Sundar Pichai and Satya Nadella have earned global recognition. Their ability to bridge cultural boundaries and lead multinational corporations demonstrates the increasing prominence of Indian talent on the world stage.

Conclusion

From technological advancements to economic transformation, these powerful business leaders are shaping the future of our world. Elon Musk and Mukesh Ambani stand at the forefront, representing the limitless potential of visionary leadership. As industries continue to evolve, their impact serves as a beacon for aspiring leaders worldwide.

This era of leadership emphasizes not only achieving success but also leveraging it to create meaningful change. In the words of Elon Musk: "When something is important enough, you do it even if the odds are not in your favor." Rajkot Job Update

[mariacallous]

The Chinese government announced Tuesday it is opening an investigation into Google in response to 10 percent tariffs imposed on Chinese imports by US president Donald Trump. Minutes after the tariffs went into effect, China’s State Administration for Market Regulation said it was probing the American tech giant for potentially violating the country’s anti-monopoly law.

The Chinese government may have strategically chosen to go after Google because it has limited operations in the country, ensuring the hit to the US tech giant would be relatively minimal. The move gives China plenty of room to escalate if the Trump administration announces further tariffs or other trade measures. Google declined to comment.

China also announced it was putting more restrictions on the sale of some critical minerals like tungsten and slapping additional tariffs on farm equipment, pickup trucks, liquified natural gas, coal, and other goods from the US. While the US isn’t reliant on China for all of the impacted minerals, the country does control the majority of the world’s tungsten supply, which is used in light bulbs, semiconductors, and ammunition.

“China’s position is firm and consistent. Trade and tariff wars have no winners,” China’s Ministry of Foreign affairs said in a statement Sunday shortly after the tariffs were announced. “This move cannot solve the US’s problems at home and, more importantly, does not benefit either side, still less the world.”

China has kept Google in its crosshairs during the ongoing trade war with the US over the last few years. In 2020, the government reportedly considered opening an antitrust investigation into Google's Android business, according to Reuters. The deliberations followed a complaint from Chinese telecommunications giant Huawei, which was targeted by Trump during his first term.

Because of US sanctions, Huawei is unable to use American-made software like Google Mobile Services, a suite of tools widely used across the smartphone industry. The restrictions forced the company to develop its own operating system called Harmony OS.

But most smartphones around the world still run on Android, which has sparked competition investigations in a number of countries, some of which have led to concessionary changes designed to give consumers and app developers more choices and lower fees. In China, several smartphone makers continue to rely on an open source version of Android.

This past December, Chinese authorities also opened an anti-monopoly investigation into Nvidia, the chipmaker whose GPUs play a crucial role in the development of generative AI and have become a significant source of trade sparring between the US and China. The announcement came soon after the Biden administration further tightened China’s access to high-end semiconductors.

About 15 years ago, Google stopped offering a search experience tailored for China following a series of Chinese government-linked cyberattacks against it and other US companies. Google debated reentering China with a search engine about seven years ago, but the project was scuttled following protests from some employees concerned about supporting Chinese surveillance and censorship.

Google has also stopped short of directly selling cloud technologies in China, as local laws could threaten the privacy and security assurances it offers to customers in other markets. Other Google services such as YouTube are blocked by Chinese internet regulators.

China has allowed domestic companies to buy advertisements through Google so that they can market to customers abroad. But the revenue from those deals is relatively small, and China didn't even garner a mention in parent company Alphabet's annual financial report last year. That stands in contrast to Meta, which lists China among its biggest markets in terms of advertiser location and said last year that China-based advertisers account for 10 percent of its annual revenue.

[scrumptiousbeardturtle-blog1]

Pioneering the Future of Transportation: Innovative Car Engine Technologies

The automotive industry is undergoing a revolutionary transformation, driven by innovative car engine technologies that are shaping the future of nationwide car shipping. These advancements are crucial in improving vehicle performance, efficiency, and sustainability, paving the way for a new era of mobility. As environmental concerns and regulatory pressures mount, automakers are investing heavily in developing cutting-edge engine solutions that not only enhance performance but also reduce emissions and improve fuel economy.

Emerging Car Engine Solutions

1. Electric Powertrains

One of the most significant innovations in car engine technology is the rapid development of electric powertrains. Major automakers are investing heavily in electric vehicle (EV) production, aiming to become global leaders in electric mobility by 2030. Electric powertrains offer several advantages:

Zero direct emissions, contributing to reduced air pollution

Higher energy efficiency compared to traditional internal combustion engines

Instant torque delivery, providing improved acceleration and performance

By 2030, it is expected that 55 percent of all cars sold in Europe will be fully electric, highlighting the growing importance of this technology.

2. Advanced Internal Combustion Engines

While electric vehicles are gaining traction, innovative internal combustion engine designs are also being developed to improve efficiency and reduce emissions. These advancements include:

Variable compression ratio engines that adjust compression based on driving conditions

Homogeneous charge compression ignition (HCCI) engines that combine the best features of gasoline and diesel engines

These technologies aim to squeeze more power and efficiency out of traditional fuel sources, providing a bridge between conventional and fully electric vehicles.

3. Hybrid Powertrains

Hybrid powertrains, which combine internal combustion engines with electric motors, continue to evolve and offer a balance between traditional and electric technologies. Advanced hybrid systems provide:

Improved fuel efficiency through regenerative braking and electric-only operation at low speeds

Reduced emissions while maintaining long-range capabilities

Enhanced performance through the combination of electric and combustion power

4. Hydrogen Fuel Cell Technology

While still in the early stages of adoption, hydrogen fuel cell technology is gaining attention as a potential alternative to battery-electric vehicles. Fuel cell engines offer:

Zero emissions, producing only water vapor as a byproduct

Faster refueling times compared to battery charging

Longer range capabilities, especially for larger vehicles from the nationwide auto transport companies and long-distance transportation

The Future of Automotive Innovation

The continued development of advanced car engine technologies is set to transform the automotive landscape dramatically. As these innovations progress, we can expect to see:

Enhanced Vehicle Intelligence: The integration of AI and machine learning in engine management systems will lead to smarter, more responsive vehicles. For instance, BMW Group and NVIDIA Corporation's collaboration aims to integrate AI computing platforms into vehicles, enabling advanced autonomous driving capabilities and intelligent engine control features.

Improved Connectivity: The automotive industry is moving towards a more connected future. Ford Motor Company and Amazon Web Services (AWS) are developing a cloud-based platform for next-generation connected vehicles, enabling features like over-the-air software updates and predictive maintenance for engine systems.

Sustainable Transportation Solutions: With a focus on electric powertrains, hydrogen fuel cells, and more efficient combustion engines, the automotive industry is actively working towards reducing its environmental impact. This shift is expected to accelerate, with more automakers committing to sustainable practices and products.

Enhanced Performance and Efficiency: The combination of advanced engine control systems and innovative powertrain technologies will result in vehicles that are not only more efficient but also offer improved performance across various driving conditions.

Automakers are playing a crucial role in driving these innovations forward. Companies like General Motors, Volvo, Aston Martin, and Jaguar Land Rover are planning to manufacture only electric cars in the foreseeable future, demonstrating their commitment to sustainable mobility solutions.

Additionally, collaborative efforts between automakers, engine suppliers, research institutions, and government agencies are facilitating technology innovation, standardization, and scale economies that drive down costs and accelerate the adoption of cleaner, more efficient engines.

The future of auto transport services in california is being shaped by remarkable advancements in car engine technologies. From electric powertrains to advanced internal combustion engines and hydrogen fuel cells, these innovations are not only enhancing vehicle performance and efficiency but also contributing to a more sustainable automotive ecosystem.

As we move forward, the continued collaboration between automakers, nationwide car carriers, and automotive industries will be essential in realizing the full potential of these groundbreaking technologies, ultimately transforming the way we travel and interact with our vehicles.

The automotive engine market is expected to grow from USD 94 billion in 2022 to USD 130.63 billion by 2028, with a CAGR of 5.48%. This growth underscores the importance of innovative engine technologies in shaping the future of the best nationwide auto transport.

As these technologies continue to evolve, they will not only revolutionize the driving experience but also play a crucial role in addressing global environmental challenges and creating a more sustainable future for mobility.

[klonoa-at-blog]

Klonoa Phantasy Reverie Series streamable with GeForce NOW

Get ready for more fantasy, a touch of royalty and even some nostalgia with the latest Bandai Namco Entertainment titles coming to the cloud. Tales of Arise, Katamari Damacy REROLL, Klonoa Phantasy Reverie Series, PAC-MAN MUSEUM+ and PAC-MAN WORLD Re-PAC are now available for members to stream.

GeForce NOW is a subscription cloud-based gaming service from Nvidia which allows users to play via cloud streaming with supported games through Steam, Xbox, and more.

[Source]

[lyingbard]

Update: Patience Fans Winning Again (Import Poll Decisions Too!)

So I've got a version working with all the features for a solid beta, but... only on my computer.

It should work when I set it up with all the cloud nonsense it needs, but it costs money, I don't wanna spend money right now, and I can't really make you pay for a product I'm not sure will work right.

So here's the deal: I'm starting a paid internship soon, so once I have that income I'll be willing to spend money on this. Problem: it's a National Parks internship so I won't have internet or the computer that I make LyingBard with until I get back... in 3-6 months.

But! I also want to ask you an important question...

I've been making LyingBard as a Cloud-Based app. It allows you to use it from anywhere through my website, but it also means I incur the cost of finding GPUs to run this with while you have a perfectly good GPU sitting in your computer doing nothing (also cloud apps are a pain in the ass).

I could also make it a Desktop App, but it would be about 1GB (blame PyTorch), it would only run on NVIDIA GPUs, and you'd have to set up your own discord bots and stuff (although I can try and streamline that for you).

Another big problem is money. Cloud-Based stuff costs money to run and becomes basically a job even if it doesn't pay enough. I'm considering a career in the National Parks Service so I won't be available most of the time if something goes wrong and stuff can go VERY wrong with a paid cloud app (think leaked passwords, compromised payment processor (Stripe) account, that sort of thing).

A Desktop App, however, can be left alone without spontaneously deleting itself or attacking you, but I would certainly have to focus on a career unless you donated a whole heck of a lot.

So DECIDE TIME! After carefully (or carelessly, idc) considering these options. WHICH DO YOU CHOOSE?!

Unfortunately, LyingBard isn't releasing until I get back regardless. Even the desktop app is just a bit too much work for me to get done before I leave.

[govindhtech]

A3 Ultra VMs With NVIDIA H200 GPUs Pre-launch This Month

Strong infrastructure advancements for your future that prioritizes AI

To increase customer performance, usability, and cost-effectiveness, Google Cloud implemented improvements throughout the AI Hypercomputer stack this year. Google Cloud at the App Dev & Infrastructure Summit:

Trillium, Google’s sixth-generation TPU, is currently available for preview.

Next month, A3 Ultra VMs with NVIDIA H200 Tensor Core GPUs will be available for preview.

Google’s new, highly scalable clustering system, Hypercompute Cluster, will be accessible beginning with A3 Ultra VMs.

Based on Axion, Google’s proprietary Arm processors, C4A virtual machines (VMs) are now widely accessible

AI workload-focused additions to Titanium, Google Cloud’s host offload capability, and Jupiter, its data center network.

Google Cloud’s AI/ML-focused block storage service, Hyperdisk ML, is widely accessible.

Trillium A new era of TPU performance

Trillium A new era of TPU performance is being ushered in by TPUs, which power Google’s most sophisticated models like Gemini, well-known Google services like Maps, Photos, and Search, as well as scientific innovations like AlphaFold 2, which was just awarded a Nobel Prize! We are happy to inform that Google Cloud users can now preview Trillium, our sixth-generation TPU.

Taking advantage of NVIDIA Accelerated Computing to broaden perspectives

By fusing the best of Google Cloud’s data center, infrastructure, and software skills with the NVIDIA AI platform which is exemplified by A3 and A3 Mega VMs powered by NVIDIA H100 Tensor Core GPUs it also keeps investing in its partnership and capabilities with NVIDIA.

Google Cloud announced that the new A3 Ultra VMs featuring NVIDIA H200 Tensor Core GPUs will be available on Google Cloud starting next month.

Compared to earlier versions, A3 Ultra VMs offer a notable performance improvement. Their foundation is NVIDIA ConnectX-7 network interface cards (NICs) and servers equipped with new Titanium ML network adapter, which is tailored to provide a safe, high-performance cloud experience for AI workloads. A3 Ultra VMs provide non-blocking 3.2 Tbps of GPU-to-GPU traffic using RDMA over Converged Ethernet (RoCE) when paired with our datacenter-wide 4-way rail-aligned network.

In contrast to A3 Mega, A3 Ultra provides:

With the support of Google’s Jupiter data center network and Google Cloud’s Titanium ML network adapter, double the GPU-to-GPU networking bandwidth

With almost twice the memory capacity and 1.4 times the memory bandwidth, LLM inferencing performance can increase by up to 2 times.

Capacity to expand to tens of thousands of GPUs in a dense cluster with performance optimization for heavy workloads in HPC and AI.

Google Kubernetes Engine (GKE), which offers an open, portable, extensible, and highly scalable platform for large-scale training and AI workloads, will also offer A3 Ultra VMs.

Hypercompute Cluster: Simplify and expand clusters of AI accelerators

It’s not just about individual accelerators or virtual machines, though; when dealing with AI and HPC workloads, you have to deploy, maintain, and optimize a huge number of AI accelerators along with the networking and storage that go along with them. This may be difficult and time-consuming. For this reason, Google Cloud is introducing Hypercompute Cluster, which simplifies the provisioning of workloads and infrastructure as well as the continuous operations of AI supercomputers with tens of thousands of accelerators.

Fundamentally, Hypercompute Cluster integrates the most advanced AI infrastructure technologies from Google Cloud, enabling you to install and operate several accelerators as a single, seamless unit. You can run your most demanding AI and HPC workloads with confidence thanks to Hypercompute Cluster’s exceptional performance and resilience, which includes features like targeted workload placement, dense resource co-location with ultra-low latency networking, and sophisticated maintenance controls to reduce workload disruptions.

For dependable and repeatable deployments, you can use pre-configured and validated templates to build up a Hypercompute Cluster with just one API call. This include containerized software with orchestration (e.g., GKE, Slurm), framework and reference implementations (e.g., JAX, PyTorch, MaxText), and well-known open models like Gemma2 and Llama3. As part of the AI Hypercomputer architecture, each pre-configured template is available and has been verified for effectiveness and performance, allowing you to concentrate on business innovation.

A3 Ultra VMs will be the first Hypercompute Cluster to be made available next month.

An early look at the NVIDIA GB200 NVL72

Google Cloud is also awaiting the developments made possible by NVIDIA GB200 NVL72 GPUs, and we’ll be providing more information about this fascinating improvement soon. Here is a preview of the racks Google constructing in the meantime to deliver the NVIDIA Blackwell platform’s performance advantages to Google Cloud’s cutting-edge, environmentally friendly data centers in the early months of next year.

Redefining CPU efficiency and performance with Google Axion Processors

CPUs are a cost-effective solution for a variety of general-purpose workloads, and they are frequently utilized in combination with AI workloads to produce complicated applications, even if TPUs and GPUs are superior at specialized jobs. Google Axion Processors, its first specially made Arm-based CPUs for the data center, at Google Cloud Next ’24. Customers using Google Cloud may now benefit from C4A virtual machines, the first Axion-based VM series, which offer up to 10% better price-performance compared to the newest Arm-based instances offered by other top cloud providers.

Additionally, compared to comparable current-generation x86-based instances, C4A offers up to 60% more energy efficiency and up to 65% better price performance for general-purpose workloads such as media processing, AI inferencing applications, web and app servers, containerized microservices, open-source databases, in-memory caches, and data analytics engines.

Titanium and Jupiter Network: Making AI possible at the speed of light

Titanium, the offload technology system that supports Google’s infrastructure, has been improved to accommodate workloads related to artificial intelligence. Titanium provides greater compute and memory resources for your applications by lowering the host’s processing overhead through a combination of on-host and off-host offloads. Furthermore, although Titanium’s fundamental features can be applied to AI infrastructure, the accelerator-to-accelerator performance needs of AI workloads are distinct.

Google has released a new Titanium ML network adapter to address these demands, which incorporates and expands upon NVIDIA ConnectX-7 NICs to provide further support for virtualization, traffic encryption, and VPCs. The system offers best-in-class security and infrastructure management along with non-blocking 3.2 Tbps of GPU-to-GPU traffic across RoCE when combined with its data center’s 4-way rail-aligned network.

Google’s Jupiter optical circuit switching network fabric and its updated data center network significantly expand Titanium’s capabilities. With native 400 Gb/s link rates and a total bisection bandwidth of 13.1 Pb/s (a practical bandwidth metric that reflects how one half of the network can connect to the other), Jupiter could handle a video conversation for every person on Earth at the same time. In order to meet the increasing demands of AI computation, this enormous scale is essential.

Hyperdisk ML is widely accessible

For computing resources to continue to be effectively utilized, system-level performance maximized, and economical, high-performance storage is essential. Google launched its AI-powered block storage solution, Hyperdisk ML, in April 2024. Now widely accessible, it adds dedicated storage for AI and HPC workloads to the networking and computing advancements.

Hyperdisk ML efficiently speeds up data load times. It drives up to 11.9x faster model load time for inference workloads and up to 4.3x quicker training time for training workloads.

With 1.2 TB/s of aggregate throughput per volume, you may attach 2500 instances to the same volume. This is more than 100 times more than what big block storage competitors are giving.

Reduced accelerator idle time and increased cost efficiency are the results of shorter data load times.

Multi-zone volumes are now automatically created for your data by GKE. In addition to quicker model loading with Hyperdisk ML, this enables you to run across zones for more computing flexibility (such as lowering Spot preemption).

Developing AI’s future

Google Cloud enables companies and researchers to push the limits of AI innovation with these developments in AI infrastructure. It anticipates that this strong foundation will give rise to revolutionary new AI applications.

Read more on Govindhtech.com

[toonabby]

Happy December everyone! As this year is coming to a close I just want to share a few pieces of fan art/memes that I didn't have a chance to upload this or last year.

The first one is a meme I made back in August of 2022 when I was still a Mr. Men's fan (I've largely lost interest in the show sometime between late 2022 to early 2023). Here, I took a screen shot from the TV Tropes article I Call Him "Mister Happy", used a png of The Mr Men Show's incarnation of Mr. Happy, and edited the two images together on Krita. This was made when the "Name Soundalikes" meme, which I used the basis of this image, was still popular.

The second was my attempt at one of those crossover memes where characters from separate IPs react in horror/sadness at the news, complete with one of the characters saying their iconic line/catchphrase in a different tone to correspond with the event. For a little bit of context: Stadia, Google's cloud gaming service, was scheduled to shut down on January 18 of this year, and I made this only one day before the service's end of support.

The characters used in this pic are (clockwise from top to bottom) the stick figure from xkcd, GoAnimate Caillou, Karate Jone from Rhythm Heaven, Dan from Dan Vs. (who is ironically the only one in-character, angrily shouting "GOOGLE!"), RED(-chan) from the Hyperdimension Neptunia series, Wesley from Wandering Wenda, and Phred from Phred on Your Head Show and The URL with Phred Show (the last two I doubt people would know). I also used the late Gilbert Gottfried on the pic (which I admit wasn't the best idea).

Oh, and about the image used at the bottom right: that was "Friendship ended with [blanc]" template with Google (displayed there as Chrome since I couldn't find the Google logo) agreeing with Nvidia to use their own CG service Geforce Now. Here's a better quality version of the image.

And for my last batch of unpublished arts, these are sketchs I made for the characters in my upcoming project "NoitaVision" (still a working title) I made back when it was known as Rebineru, which I realized was a crappy title. Since these are concept arts I drew early on this year, the designs used in this pic may look different from their finalized designs once I publish them. The descriptions of the characters will be indicated in the alt text.

And there you go, a college of unpublished arts! I hope by next year I'll make more drawings and publish them online!

[darshanhiranandanisblog]

Hiranandani-backed Data Center Lands India's Largest Stake: Secures Coveted Nvidia AI Chips 

Yotta, backed by Niranjan's Hiranandani group, is making big moves in India's AI scene. They've just received a whopping 4,000 H100 chips from Nvidia, each valued between $30,000 to $40,000. These chips are super powerful and mark a significant advancement for Yotta, a data center company. 

The CEO, Sunil Gupta, has ambitious plans for these chips. He wants to make them available to Indian businesses, startups, and researchers so they can build their own AI solutions right from local data centers. Gupta believes Yotta has an advantage over international cloud computing services due to latency issues. Plus, he promises to provide access to Nvidia AI chips at the lowest prices globally. 

But there's a catch: the demand for Nvidia chips far outweighs the supply. This means Jensen Huang, Nvidia's CEO, has to carefully distribute the chips, with corporate giants and government leaders vying for their share. India, however, is getting special attention from Nvidia. 

With Hiranandani's backing, Yotta is poised to shake up India's AI landscape, offering cutting-edge technology to drive innovation and growth. 

[eziovo]

Best Android TV Boxes For Streaming in 2023

In the ever-evolving realm of home entertainment, Android TV boxes have emerged as versatile juggernauts of contemporary streaming. These devices have transcended their basic media conduit origins to become multi-functional hubs for immersive content experiences. Picture this: a single device seamlessly blending HD IPTV viewing, gaming thrills, and immersive entertainment. Welcome to the cutting edge of TV streaming, where Android TV boxes redefine how we engage with content.

The days of TV boxes confined to rudimentary functions are long gone. Modern Android TV boxes epitomize versatility. Once connected to your TV, they open portals to a multitude of streaming services, turning your screen into a smart entertainment hub. Services like Netflix and Disney Plus are at your fingertips.

So, you’ve decided to elevate your TV experience with an Android TV box, tapping into the power of the beloved Android operating system. However, navigating through a sea of options can be daunting. With countless Android TV boxes flaunting slight variations in specifications, how do you choose the perfect fit for your needs?

Worry not, as we have meticulously scrutinized the cream of the crop among Android TV boxes, ensuring that you embark on your streaming journey armed with the right information. Whether you’re a cinema buff, a gaming enthusiast, or someone with unique streaming preferences, we have categorized the best options for every taste. Our mission is to guide you not only to the best Android TV box but also to the ideal companion tailored perfectly to your entertainment aspirations.

1.NVIDIA Shield TV Pro

NVIDIA’s Shield TV has reigned as the undisputed king of Android TV boxes, and the Shield TV Pro takes this legacy to new heights. Despite its age, the Tegra X1+ processor delivers exceptional performance, driving AI-enhanced 4K upscaling that genuinely enhances HD picture clarity and color vibrancy on a 4K display. This powerhouse chip also adeptly handles real-time transcoding, allowing seamless streaming of various file formats from a NAS drive. With support for Dolby Vision HDR, Dolby Atmos, and DTS-X surround sound, it solidifies its reputation as an AV powerhouse.

Running on NVIDIA’s customized Google TV OS, you have access to the full array of software on the Google Play store. Plex comes pre-installed, and if you wish to expand beyond the usual suspects like Netflix and Amazon Prime, adding Kodi is a breeze. While the onboard 16GB storage might feel limiting, a simple USB 3.0 external drive upgrade resolves this concern.

Gaming is another forte of the Shield TV Pro. The Tegra X1+ not only handles a plethora of major titles from the Google Play store but also directly streams games from Nvidia’s GeForce Now service. This ingenious feature lets you access your PC games library on your TV, provided the service supports the titles. For those seeking a more streamlined setup, the new Shield TV “stick” might be appealing, as it mirrors the software and wields the same Tegra X1+ chip. Nevertheless, the Shield TV Pro embodies the quintessential Android TV experience.

Pros:

Reliable performance

Excellent remote

Wide variety of native 4K content

Supports Nvidia’s GeForce NOW cloud gaming

Cons:

AI upscaling can be overly aggressive

Controller not included

2.Magabox MG4

The Magabox-MG4 stands as the latest iteration in the Magabox series, pushing the boundaries of convenience and performance. Packed with 2GB of RAM and 32GB of storage, it transforms into a multimedia powerhouse. Its integrated voice command feature ushers in a superior streaming experience, redefining the market. Connect it to your TV and the internet, and witness your standard TV evolve into a smart wonder.

This exceptionally user-friendly Android TV box redefines its predecessor, the MG4, with a revamped design and interface. While its hardware remains steadfast, the revamped design and interface, coupled with superior streaming and DVR capabilities, make it an irresistible choice for streaming enthusiasts. Constant system updates ensure access to the latest features and security enhancements, cementing its place as a dynamic entertainment companion.

Remarkably, the Magabox MG4 remains budget-friendly, maintaining the same price point as the MG4. This commitment to affordability ensures that users can access its advanced streaming capabilities without breaking the bank, making it an even more compelling choice for budget-conscious consumers.

Pros:

User-friendly interface

Built-in apps with voice search support

Stable streaming, especially for sports gaming

Maintains the same price as the previous version

Cons:

Batteries not included in the package

3.Amazon Fire TV Stick (3rd generation)

The base-level Fire TV Stick offers respectable functionality but may leave some users craving more due to its modest 1GB of RAM, quad-core CPU, and limited 8GB of storage. In terms of both hardware and software, the third-generation Fire Stick closely mirrors its predecessor. The primary distinction lies in its slightly updated remote, featuring a Channel Guide button and four app shortcuts for convenient access to region-specific apps like Amazon Prime and Netflix. Impressively, it supports various HDR standards, including Dolby Atmos, HDR10, HDR10+, and HLG, making it a solid choice for modern HDR 4K televisions.

For ardent Kodi enthusiasts and those seeking an extra performance boost, investing an additional £10 in the Fire TV Stick 4K Max might be worthwhile. This upgraded version boasts a faster CPU, more RAM, and Wi-Fi 6 connectivity, along with robust 4K video support and compatibility with Dolby Vision HDR.

Pros:

Good hardware

Excellent HD antenna

Stunning 4K resolution

Cons:

Non-expandable storage space

4.MINIX NEO U9-H

The MINIX NEO U9-H 64-bit Media Hub for Android delivers swift video playback at an impressive 60fps, enhancing your viewing experience with seamless and razor-sharp 4K visuals. What’s more, it excels in picture quality, thanks to comprehensive HDR10 compatibility.

Leveraging HDR (High Dynamic Range) technology, this media hub broadens the color spectrum, rendering whites brighter and blacks deeper, thereby intensifying contrast for a lifelike and vibrant visual journey. All of these features come in an affordable package, priced under $50 / £50 / AUD$80, making it a budget-friendly choice for value-conscious users.

Pros:

Excellent streaming performance

Versatile

Micro SD slot

Cons:

Lacks a USB 3.0 port

5.Google Chromecast with Google TV (4K)

The Chromecast with Google TV 4K undoubtedly stands among the finest media streaming devices available, a viewpoint we firmly endorse. However, when compared to Android TV boxes, it gracefully concedes the top spot to the NVIDIA Shield TV, known for delivering superior performance across the board. Nevertheless, Google’s Chromecast with Google TV 4K offers an exceptional value proposition, priced at just $49.99.

It’s important to note that when we mention “Google TV,” we are referring to Google’s revamped user interface, while the Chromecast with Google TV continues to operate on the robust Android TV platform, providing access to a comprehensive array of streaming services. Furthermore, it comes complete with Google’s popular Chromecast remote right in the box.

Pros

Affordable price tag

Google TV interface with Google Assistant

dedicated compact remote

Cons

Limited storage

No AV1 codec support

In conclusion, the world of Android TV boxes has evolved to redefine how we experience home entertainment. From the powerhouse NVIDIA Shield TV Pro to the user-friendly Magabox MG4, and the budget-friendly Amazon Fire TV Stick to the vivid visual experiences offered by the MINIX NEO U9-H and the value-packed Google Chromecast with Google TV 4K, there’s a streaming companion tailored to every preference and budget. These devices not only grant access to an array of streaming services but also open doors to gaming thrills and immersive content. The future of streaming is here, and it’s a world of limitless possibilities, all at your fingertips. Whether you seek performance, affordability, or versatility, these Android TV boxes are your gateway to a dynamic and personalized entertainment journey.

[gtamobile]

Playing GTA 5 on Cloud Gaming: A Gamer’s Guide

Yo, gamers! With "Grand Theft Auto VI" (GTA 6) on the horizon, it’s the perfect time to revisit "Grand Theft Auto V" (GTA 5). Thanks to cloud gaming, you can dive into Los Santos on any device without the need for a high-end rig. Here’s the lowdown on how to get your GTA 5 fix through cloud gaming, and this will likely work for GTA 6 when it drops too.

What’s Cloud Gaming?

Cloud gaming is like Netflix for games. Instead of running the game on your PC or console, it’s hosted on powerful servers and streamed straight to your device. This means you can play demanding games without needing a beastly setup.

You can watch this video to learn how to use Cloud Gaming Features!

Why Cloud Gaming Rocks:

Play Anywhere: Fire up your game on any device with internet.

No More Downloads: Forget massive installs and updates.

Save Cash: No need to drop big bucks on hardware upgrades.

Total Portability: Game on the go, wherever you are.

How to Play GTA 5 on Cloud Gaming

1. Pick Your Cloud Gaming Service

First up, choose a cloud gaming platform. Here are two solid options:

NVIDIA GeForce Now: Stream games you already own from platforms like Steam and Epic Games Store.

Xbox Cloud Gaming (Project xCloud): Included with Xbox Game Pass Ultimate, offering a ton of games including GTA 5.

2. Set Up Your Account

Get yourself signed up with your chosen service. For GeForce Now, link your existing game libraries where you have GTA 5. For Xbox Cloud Gaming, make sure you’ve got an Xbox Game Pass Ultimate subscription.

3. Check Your Gear and Connection

You’ll need a decent internet connection. Aim for:

15 Mbps for 720p streaming

25 Mbps for 1080p streaming

Most modern devices will do the trick as long as you have stable internet.

4. Fire Up the Game

Log in to your cloud gaming account, find GTA 5 in your game library, and hit play. The game streams to your device just like it’s running locally.

5. Get Your Controls Ready

Make sure your controller, keyboard, and mouse are compatible. Some services even offer touch controls if you’re playing on a tablet or smartphone.

With cloud gaming, GTA 5 (and soon GTA 6) is at your fingertips, no matter where you are. Time to hit the streets of Los Santos, gamers!

[techniktagebuch]

April 2023

Sechs Jahre Nichtstun, eine schöne Lösung für so viele Probleme

Vor fast genau sechs Jahren habe ich beschlossen, auch mal dieses Machine Learning auszuprobieren:

Gleich kann es losgehen, ich muss nur erst “Getting Started before your first lesson” lesen. Von dort schickt man mich weiter zum AWS deep learning setup video. Das Video ist 13 Minuten lang.

(Es folgen Probleme und Verwicklungen beim Setup, die Details kann man hier nachlesen.)

In Minute 12:45 sagt der Erzähler im Video: “Ok! It looks like everything is set up correctly and you’re ready to start using it.” Aber statt 12 Minuten und 45 Sekunden sind zwei Wochen vergangen, mein anfänglicher Enthusiasmus ist aufgebraucht und mein Interesse an Deep Learning erlahmt. Ich bin nicht einmal bis “Lesson 1” gekommen.

Im April 2023 sagt Aleks, dass er gerade einen sehr guten Onlinekurs über Machine Learning macht. Ich frage nach der Adresse, und sie kommt mir bekannt vor. Es ist derselbe Kurs!

“Das Setup war kein Problem?”, frage ich. Nein, sagt Aleks, Sache von ein paar Minuten.

Ich sehe mir "Practical Deep Learning for Coders 2022” an. Man braucht für den Kurs bestimmte Hardware. Generell benötigt Machine Learning Grafikprozessoren wegen der höheren Rechenleistung, und aus der Einleitung zum Kurs weiß ich jetzt, dass die aktuell verfügbaren Tools Nvidia-Grafikprozessoren voraussetzen*. Den Zugang zu dieser Hardware soll man mieten. Das war vor sechs Jahren auch schon so, nur dass das Mieten der Rechenleistung bei Amazon Web Services eine komplizierte und teure Sache war.

* Ich hatte an dieser Stelle schon “Grafikkarten” geschrieben, dann kam es mir aber wieder so vor, als müsste ich meinen Sprachgebrauch renovieren. In meiner Vorstellung handelt es sich um eine Steckkarte, ungefähr 10 x 20 cm groß, die in ein PC-Gehäuse eingebaut wird. So war das, als ich meine Computer noch in Einzelteilen kaufte, aber das ist zwanzig Jahre her. Deshalb habe ich mich für das unverbindliche Wort “Grafikprozessoren” entschieden. Aber wenn ich nach nvidia gpu machine learning suche, sehe ich sperrige Dinge, die nicht weit von meiner Erinnerung an Grafikkarten entfernt sind. Die große Rechenleistung braucht auch große Kühlleistung, deshalb sind zwei Lüfter auf der ... naja, Karte. Die Ergebnisse der Bildersuche sind etwas uneindeutig, aber es kommt mir so vor, als enthielte das Rechenzentrum, dessen Leistung ich gleich nutzen werde, wahrscheinlich große Gehäuse, in denen große Grafikkarten drin sind, vom Format her immer noch ungefähr wie vor zwanzig Jahren. Nur viel schneller.

2018 brauchte man AWS schon nicht mehr für den fast.ai-Onlinekurs. Stattdessen konnte man sich die Arbeitsumgebung bei Paperspace einrichten, einem anderen Cloud-Anbieter. Die Anleitung von 2018 klingt so, als hätte meine Geduld wahrscheinlich auch dafür nicht gereicht.

In der Version von 2019 hat der Kurs auf Google Colab gesetzt. Das heißt, dass man Jupyter Notebooks auf Google-Servern laufen lassen kann und keine eigene Python-Installation braucht, nur einen Browser. Colab gab es 2017 noch nicht, es wurde erst ein paar Monate nach meinem Scheitern, im Herbst 2017, für die Öffentlichkeit freigegeben. Allerdings klingt die Anleitung von 2019 immer noch kompliziert.

2020 wirkt es schon schaffbarer.

Auch die aktuelle Version des Kurses basiert auf Colab. Man muss sich dafür einen Account bei Kaggle einrichten. Soweit ich es bisher verstehe, dient dieser Kaggle-Zugang dazu, die Sache kostenlos zu machen. Colab würde ansonsten Geld kosten, weniger als ich 2017 bezahlt habe, aber eben Geld. Oder vielleicht liegen auch die Jupyter Notebooks mit den Kurs-Übungen bei Kaggle, keine Ahnung, man braucht es eben. (Update: In Kapitel 2 des Kurses merke ich, dass es noch mal anders ist, man hätte sich zwischen Colab und Kaggle entscheiden können. Zusammengefasst: Ich verstehe es nicht.)

Ich lege mir einen Kaggle-Account an und betrachte das erste Python-Notebook des Kurses. Es beginnt mit einem Test, der nur überprüft, ob man überhaupt Rechenleistung bei Kaggle in Anspruch nehmen darf. Das geht nämlich erst, wenn man eine Telefonnummer eingetragen und einen Verifikationscode eingetragen hat, der an diese Telefonnummer verschickt wird. Aber das Problem ist Teil des Kursablaufs und deshalb genau an der Stelle erklärt, an der es auftritt. Es kostet mich fünf Minuten, die vor allem im Warten auf die Zustellung der SMS mit dem Code bestehen.

Danach geht es immer noch nicht. Beim Versuch, die ersten Zeilen Code laufen zu lassen, bekomme ich eine Fehlermeldung, die mir sagt, dass ich das Internet einschalten soll:

“STOP: No internet. Click ‘>|’ in top right and set ‘Internet’ switch to on.”

Ich betrachte lange alles, was mit “top right” gemeint sein könnte, aber da ist kein solcher Schalter. Schließlich google ich die Fehlermeldung. Andere haben das Problem auch schon gehabt und gelöst. Der Schalter sieht weder so aus wie in der Fehlermeldung angedeutet, noch befindet er sich oben rechts. Man muss ein paar Menüs ein- und ein anderes ausklappen, dann wird er unten rechts sichtbar.

Ich bin also im Internet und muss erst das Internet einschalten, damit ich Dinge im Internet machen kann.

Aleks meint, wenn ich ihm gestern dabei zugehört hätte, wie er eine Viertelstunde lang laut fluchte, hätte ich schon gewusst, wie es geht. Hatte ich aber nicht.

Nach dem Einschalten des Internets kann ich das erste Jupyter-Notebook des Kurses betrachten und selbst ausprobieren, ob es wohl schwer ist, Frösche von Katzen zu unterscheiden. Für die Lösung aller Startprobleme von 2017 habe ich zwei Wochen gebraucht. 2023 noch eine Viertelstunde, und ich bin zuversichtlich, dass man um 2025 direkt in den Kurs einsteigen können wird.

(Kathrin Passig)

[gadgetsboy]

MediaTek and NVIDIA Team up for Automotive AI

With more and more auto manufacturers pushing for smarter vehicles, there's been a considerably growing demand for more powerful smart automotive platforms, going beyond the simple act of pairing your smartphone with your car's Bluetooth console (think 'K.I.T.T.' from Knight Rider). It's no surprise then that we've seen an uptick of specially-designed hardware and software solutions that provide entertainment and navigation features for drivers and passengers alike. With that being said, MediaTek's push towards putting more AI tech into everyday consumer products has certainly yielded some very interesting results, and the company's newly-announced collaboration with PC gaming giant NVIDIA aims to do the same, at least in terms of automotive applications. More specifically, the mobile chip manufacturer formally announced that it has entered into a partnership with NVIDIA to develop new AI-powered software for vehicles, with the goal of creating a "smart cabin" for drivers and passengers. This collaboration will enable MediaTek to develop automotive SoCs, which will in turn integrate a new NVIDIA GPU "chiplet" with support for NVIDIA AI and graphics IP. Interestingly, these chiplets will be connected by specially-developed interconnect technology, at least according to MediaTek. Rick Tsai, Vice Chairman and CEO of MediaTek states: “NVIDIA is a world-renowned pioneer and industry leader in AI and computing. With this partnership,our collaborative vision is to provide a global one-stop shop for the automotive industry, designing thenext generation of intelligent, always-connected vehicles. Through this special collaboration with NVIDIA, we will together be able to offer a truly unique platform for the compute intensive, software-defined vehicle of the future.” NVIDIA CEO Jensen Huang says this combination of MediaTek and NVIDIA hardware will "enable new user experiences, enhanced safety and new connected services for all vehicle segments, from luxury to mainstream.” MediaTek adds that its smart cabin solutions will run NVIDIA DRIVE OS, DRIVE IX, CUDA and TensorRT software technologies. This then allows consumers to experience a full range of AI cabin and cockpit functionality with integrated AI, safety, and security features as well. While NVIDIA is more known to consumers as a PC and gaming-centric brand, the company does put a considerable amount of investment towards the development and production of AI and IoT (internet of things) technology, in addition to its powerful GPUs and processors. The Taiwanese company further states that by allowing MediaTek to tap into NVIDIA’s core expertise in AI, cloud, graphics technology, software and pairing with NVIDIA ADAS solutions, we can expect to see further improvement to the capabilities of the Dimensity Auto platform, MediaTek's flagship automotive software product. Dimensity Auto is designed for vehicles with support for compatible smart features. With all that being said, it should be interesting to see how both companies approach this new partnership, both on hardware and business fronts. Read the full article

[moremarketresearch]

Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Healthcare Industry

Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Increased Use of AI Accelerator Chips in Healthcare Industry. The global AI accelerator chip market is expected to grow primarily due to its growing use in the healthcare industry. The cloud sub-segment is expected to flourish immensely. The market in the North American region is predicted to grow with a high CAGR by 2031. NEW YORK, March 17, 2023 - As per the report published by Research Dive, the global AI accelerator chip market is expected to register a revenue of $332,142.7 million by 2031 with a CAGR of 39.3% during the 2022-2031 period.

Dynamics of the Global AI Accelerator Chip Market

Growing use of AI accelerator chips across the global healthcare industry is expected to become the primary growth driver of the AI accelerator chip market in the forecast period. Additionally, the rise of the cyber safety business is predicted to propel the market forward. However, according to market analysts, lack of skilled AI accelerator chip workforce might become a restraint in the growth of the market. The growing use of AI accelerator chip semiconductors is predicted to offer numerous growth opportunities to the market in the forecast period. Moreover, the increased use of AI accelerator chips to execute AI workloads such as neural networks is expected to propel the AI accelerator chip market forward in the coming period.

COVID-19 Impact on the Global AI Accelerator Chip Market

The Covid-19 pandemic disrupted the routine lifestyle of people across the globe and the subsequent lockdowns adversely impacted the industrial processes across all sectors. The AI accelerator chip market, too, was negatively impacted due to the pandemic. The disruptions in global supply chains due to the pandemic resulted in a decline in the semiconductor manufacturing industry. Also, the travel restrictions put in place by various governments reduced the availability of skilled workforce. These factors brought down the growth rate of the market.

Key Players of the Global AI Accelerator Chip Market

The major players in the market include: - NVIDIA Corporation - Micron Technology Inc. - NXP Semiconductors N.V. - Intel Corporation - Microsoft Corporation - Advanced Micro Devices Inc. (AMD) - Qualcomm Technologies Inc. - Alphabet Inc. (Google Inc.) - Graphcore Limited. - International Business Machines Corporation These players are working on developing strategies such as product development, merger and acquisition, partnerships, and collaborations to sustain market growth. For instance, in May 2022, Intel Habana, a subsidiary of Intel, announced the launch of 2nd generation AI chips which according to the company, will provide a 2X performance advantage over the previous generation NVIDIA A100. This product launch will help Intel Habana to capitalize on this rather nascent market and will consolidate its lead over the competitors further.

What the Report Covers:

Apart from the information summarized in this press release, the final report covers crucial aspects of the market including SWOT analysis, market overview, Porter's five forces analysis, market dynamics, segmentation (key market trends, forecast analysis, and regional analysis), and company profiles (company overview, operating business segments, product portfolio, financial performance, and latest strategic moves and developments.)

Segments of the AI Accelerator Chip Market

The report has divided the AI accelerator chip market into the following segments: Chip Type: Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGA), Central Processing Unit (CPU), and others Processing Type: edge and cloud Application: Natural Language Processing (NLP), computer vision, robotics, and network security Industry Vertical: financial services, automotive and transportation, healthcare, retail, telecom, and others Region: North America, Europe, Asia-Pacific, and LAMEA SegmentSub-SegmentChip TypeCentral Processing Unit (CPU) – Most dominant market share in 2021 - The use of CPU for improving the performance of a computer while running graphics and video editors are expected to push the growth of this sub-segment further.Processing TypeCloud – Significant revenue growth in 2021 Cloud acceleration chip helps content creators, publishers, and other entities to offer material to end users promptly which is predicted to propel the growth rate of the market higher.ApplicationNatural Language Processing (NLP) – Highest market share in 2021 Increased use of Natural Language Processing (NLP) due to its ability to make computer-human interactions more natural is expected to propel the sub-segment forward.Industry VerticalHealthcare– Huge market revenue in 2021 The growing use of AI by major healthcare companies to complement medical imaging is anticipated to offer numerous growth opportunities to the sub-segment in the forecast period.RegionNorth America – Most profitable by 2031 The development of new technologies in artificial intelligence (AI) accelerators in this region is predicted to propel the market in the forecast period. Read the full article