#NVIDIA AI Summit

[todayworldnews2k21]

Akshay Kumar Meets Nvidia CEO Jensen Huang, Guess What They Ended Up Chatting About!

Mumbai: Akshay Kumar took to his social media to give a glimpse of his candid meeting with Nvidia CEO Jensen Huang. On Thursday, Khiladi Kumar posted his photo with Jensen, calling him the “world’s biggest authority on Artificial Intelligence.” Alongside the image, the actor wrote, “Imagine meeting the world’s biggest authority on Artificial Intelligence and ending up chatting about martial…

[thetechempire]

Nvidia highlights AI software and services at D.C. AI Summit

🔹 Nvidia is widely recognized for its highly sought-after artificial intelligence chips, but at the recent Nvidia AI Summit in Washington, D.C., the company's vice president of Enterprise Platforms, Bob Pette, highlighted its extensive software offerings. Nvidia provides various software platforms that assist a range of organizations, including AT&T, Deloitte, and research institutions like the National Cancer Institute and the SETI Institute. These technologies support diverse applications, from software development and network engineering to the search for extraterrestrial life.

🔹 Among Nvidia's software platforms are Nvidia NIM Agent Blueprints, Nvidia NIM, and Nvidia NeMo. NIM Agent Blueprints aids businesses in creating generative AI applications, while NIM facilitates the development of chatbots and AI assistants. Nvidia NeMo allows companies to build custom generative AI models tailored to their specific needs. Following this announcement, Nvidia's shares rose by 3.7%, reflecting the company’s strategy to boost revenue by encouraging reliance on its software in addition to its hardware.

🔹 Nvidia's collaborations demonstrate the practical applications of its software technologies. For instance, AT&T is partnering with Quantiphi to develop a conversational AI platform for employee assistance, and the University of Florida is enhancing its learning management system using Nvidia's tools. Additionally, Deloitte is integrating Nvidia’s NIM Agent Blueprint with its cybersecurity products, while the National Cancer Institute is leveraging these tools to streamline drug development processes. The SETI Institute is also utilizing Nvidia’s Holoscan software for space-related research.

🔹 Despite its remarkable growth, with stock prices soaring 934% over the past two years, Nvidia faces increasing competition from rivals like AMD and Intel, as well as pressure from customers developing their own AI chips. To counter this, Nvidia aims to maintain customer loyalty through its software offerings, creating recurring revenue streams. By emphasizing its software capabilities, Nvidia is not only attracting developers but also reinforcing its position as a comprehensive technology provider, rather than just a chip manufacturer. The company’s ongoing investments in AI technology are expected to help it sustain its competitive advantage in the market.

[nithyasniper]

NVIDIA AI Summit India 2024; Shaping the Future of Technology

The NVIDIA AI Summit India 2024 stands as a pivotal event in the AI community, bringing together leaders and innovators to explore groundbreaking advancements in AI technologies. With a focus on Generative AI, Large Language Models (LLMs), and more, this summit offers invaluable insights into AI business strategies and cutting-edge developments.

Empowering AI Innovations

At the summit, discussions revolve around topics like Edge Computing, Robotics, Data Center and Cloud, and AI Business Strategy. Attendees get a glimpse of the future through AI-driven simulation, modeling, and design solutions.

This year’s summit delves into a range of topics, including Edge Computing, Robotics, Data Centers, Cloud Solutions, and AI Business Strategy. Attendees will gain a comprehensive understanding of future trends through discussions on AI-driven simulation, modeling, and design solutions.

As a key Silver Sponsor, Sniper Systems & Solutions proudly demonstrates its expertise in providing AI-driven solutions.

The Role of AI in Transforming Business Strategy

AI is not just about automation—it’s about redefining how industries operate. Jensen Huang, the CEO of NVIDIA, highlights how AI's integration into core business strategies is unlocking new possibilities. For businesses looking to explore opportunities in robotics, cloud-based AI, and advanced simulation, this summit serves as a cornerstone for their AI journey.

Sniper Systems & Solutions plays a significant role in helping businesses adopt these emerging technologies. By offering state-of-the-art solutions tailored to unique business needs, Sniper Systems facilitates the transition to AI-driven strategies.

Advancing Technologies: Simulation and Modeling

Simulation and modeling are critical for industries like design, architecture, and engineering. The NVIDIA AI Summit India showcases advancements in simulation technologies, enabling businesses to reduce costs and accelerate innovation. Sniper Systems helps organizations tap into these tools, optimizing their operations and driving growth through AI-driven simulations.

Sniper India at the Forefront

As a Silver Sponsor of the NVIDIA AI Summit India, Sniper Systems & Solutions exemplifies leadership in AI solutions. From Generative AI to LLMs, their participation in the summit highlights their commitment to driving the AI revolution across industries.

This year’s NVIDIA AI Summit India sets the stage for a future where AI, edge computing, and cloud-based technologies reshape industries.

Register Now and Save with Special Early-Bird Pricing

Seize the opportunity to attend the NVIDIA AI Summit India 2024! Register by September 11, 2024, to enjoy a 50% discount on the regular conference rate with our exclusive early-bird pricing. Additionally, sign up for three or more full-day workshops and receive an extra 20% discount.

Don’t miss out on this chance to be part of the conversation shaping the future of AI. Click here to register and secure your spot at the AI event of the year. Sniper Systems & Solutions invites you to join us in exploring and advancing the potential of AI.

Click here to Register 

[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

[thevoicefentrepreneur]

Nita Ambani Guides Mukesh on Meeting with Nvidia's Jensen Huang

Mukesh Ambani had a fireside chat with Nvidia CEO Jensen Huang in Mumbai on Thursday. The two prominent leaders shared the stage at Jio World Centre during the three-day Nvidia AI Summit India, where they talked about advancements in artificial intelligence and India’s expanding tech landscape.

The highlight of their discussion came at the very start, when Reliance Industries chairman Mukesh Ambani credited his wife, Nita Ambani, as the mastermind behind the Jio World Centre.

Nita Ambani’s Guidance to Mukesh Ambani

After Nvidia CEO Jensen Huang welcomed Mukesh Ambani, praising him as an “industry pioneer” who played a crucial role in India’s digital transformation, he remarked, “No one has contributed more, Mukesh, to make India a high-tech and deep-tech nation. You’re just beginning this journey with grand ambitions. What drives you to believe that artificial intelligence is India’s moment?”

Mukesh Ambani, 67, responded by thanking Huang for being in Mumbai and, more specifically, at the Jio World Centre, which he humorously noted was built by his wife.

“We’re here at the Jio World Center, which is new, and it was built by my wife. So, if I don’t mention that, I’ve been instructed to,” Ambani said, sparking laughter from the Nvidia CEO.

What is Jio World Centre?

Jio World Centre is a vast, multi-functional complex in Mumbai’s Bandra-Kurla Complex (BKC). Spanning 18.5 acres, it is a hub for business, entertainment, culture, and retail activities.  Read More-https://thevoiceofentrepreneur.com/nita-ambani-advised-her-husband-mukesh-on-what-to-say-during-his-meeting-with-nvidia-ceo-jensen-huang/

[mariacallous]

More details of Sam Altman’s sudden ousting as CEO of OpenAI have emerged, with several senior researchers quitting the company, and executives and investors from across the industry expressing shock and confusion at what is increasingly being perceived as a board coup.

Hours after Sam Altman was booted from the company by its board, Greg Brockman, another OpenAI cofounder and the company’s chairman, quit in protest. Brockman later posted details of Altman’s removal suggesting that the company’s chief scientist, Ilya Sutskever, had orchestrated the effort to remove the CEO.

Brockman’s post claimed that Altman was told he was being fired by Sutskever, the company’s chief scientist and a member of its board. Several accounts from inside the company suggest that a disagreement between Sutskever and Altman centered around the company’s direction, and specifically its ability to build more capable AI technology safely.

“This was the board doing its duty to the mission of the nonprofit, which is to make sure that OpenAI builds AGI that benefits all of humanity,” Sutskever told employees at an emergency all-hands on Friday afternoon, according to a report in The Information.

Jakub Pachocki, a lead research on OpenAI’s groundbreaking language model GPT-4; Aleksander Madry, a professor at MIT recruited by Altman to work on AI safety; and Szymon Sidor, a researcher who has worked on a branch of AI known as reinforcement learning, all reportedly quit as the crisis deepened.

The fallout from Sam Alman’s firing as CEO of OpenAI has shaken the tech industry, and threatens to turn into a backlash against the remaining board.

Executives at Microsoft, which has invested a reported $13 billion in OpenAI, were said to be “blindsided” by news of Altman’s exit, and Microsoft’s CEO, Satya Nadella, was furious, Bloomberg reports.

OpenAI declined to provide further comment on the situation. Neither Altman, Brockman, nor Sutskever responded to requests for comment. Inquiries sent to the three researchers who quit also went unanswered.

Altman had led OpenAI on an incredible run of success starting with the launch of ChatGPT less than a year ago. He quickly became a figurehead for the generative AI boom, and he was courted by world leaders keen to learn about the remarkable potential—and the potential dangers—of more advanced AI.

Earlier this month, Altman hosted OpenAI’s first developer conference and announced a plan to create an app store for AI agents built on top of its technology. Altman was also courting Middle East sovereign wealth funding for the development of AI chips that would compete with Nvidia’s, according to Bloomberg. The Information has previously reported that Altman was exploring the possibility of developing AI-oriented hardware in collaboration with the ex-Apple designer Jony Ive with funding from Softbank.

Disagreements over the issue of prioritizing safe development of AI previously led several prominent OpenAI researchers to leave the company and found competitor Anthropic.

The development of OpenAI’s most powerful large language model, GPT-4, has sparked unprecedented debate around the potential for AI to advance beyond human control. In July, Sutskever became the colead of a “superalignment group” at OpenAI, dedicated to producing “technical breakthroughs to steer and control AI systems much smarter than us.”

Speaking at the APEC CEO summit in San Francisco last week, Altman indicated that the company had been making progress on developing a more powerful successor to GPT-4. “Four times now in the history of OpenAI—the most recent time was just in the last couple of weeks—I’ve gotten to be in the room when we push the veil of ignorance back and the frontier of discovery forward,” he said.

Many within the tech industry have spoken out to support Altman, or criticize OpenAI’s board for its actions.

“What happened at OpenAI today is a board coup that we have not seen the likes of since 1985 when the then-Apple board pushed out Steve Jobs,” Angel investor Ron Conway wrote on X. “It is shocking; it is irresponsible; and it does not do right by Sam & Greg or all the builders in OpenAI.”

“Sam Altman is a hero of mine,” Eric Schmidt, the ex-CEO of Google posted. “He built a company from nothing to $90 Billion in value, and changed our collective world forever. I can’t wait to see what he does next.”

OpenAI announced that Altman would be replaced by Mira Murati, previously OpenAI’s CTO, who is serving as temporary CEO while the company searches for a permanent replacement.

Some employees at OpenAI seemed to suggest that Murati had been serving as de facto leader of the company for some time.

“In the craziness of ChatGPT forming, @miramurati was the one making final decisions in daily standups” Evan Morikawa, an engineering manager at OpenAI, wrote on X. “She’s been leading this company for years and will continue to do an amazing job here.”

Altman, who has little financial stake in OpenAI, took to X in the hours following his ousting to suggest that he might reveal more about the circumstances of his departure. “If I start going off, the OpenAI board should go after me for the full value of my shares,” he wrote.

[ai-news]

Japan is on a mission to become a global AI powerhouse, and it’s starting with some impressive advances in AI-driven language models. Japanese technology experts are developing advanced models that grasp the unique nuances of the Japanese language a #AI #ML #Automation

[jcmarchi]

NVIDIA AI Summit Japan: NVIDIA’s role in Japan’s big AI ambitions

New Post has been published on https://thedigitalinsider.com/nvidia-ai-summit-japan-nvidias-role-in-japans-big-ai-ambitions/

NVIDIA AI Summit Japan: NVIDIA’s role in Japan’s big AI ambitions

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Japan is on a mission to become a global AI powerhouse, and it’s starting with some impressive advances in AI-driven language models. Japanese technology experts are developing advanced models that grasp the unique nuances of the Japanese language and culture—essential for industries such as healthcare, finance, and manufacturing – where precision is key.

But this effort isn’t Japan’s alone. Consulting giants like Accenture, Deloitte, EY Japan, FPT, Kyndryl, and TCS Japan are partnering with NVIDIA to create AI innovation hubs across the country. The centres are using NVIDIA’s AI software and specialised Japanese language models to build tailored AI solutions, helping industries boost productivity in a digital workforce. The goal? To get Japanese companies fully on board with enterprise and physical AI.

One standout technology supporting the drive is NVIDIA’s Omniverse platform. With Omniverse, Japanese companies can create digital twins—virtual replicas of real-world assets—and test complex AI systems safely before implementing them. This is a game-changer for industries such as manufacturing and robotics, allowing businesses to fine-tune processes without the risk of real-world trial and error. This use of AI is more than just innovation; it represents Japan’s plan for addressing some major challenges ahead.

Japan faces a shrinking workforce presence as its population ages. With its strengths in robotics and automation, Japan is well-positioned to use AI solutions to bridge the gap. In fact, Japan’s government recently shared its vision of becoming “the world’s most AI-friendly country,” underscoring the perceived role AI will play in the nation’s future.

Supporting this commitment, Japan’s AI market hit $5.9 billion in value this year; a 31.2% growth rate according to IDC. New AI-focused consulting centres in Tokyo and Kansai give Japanese businesses hands-on access to NVIDIA’s latest technologies, equipping them to solve social challenges and aid economic growth.

Top cloud providers like SoftBank, GMO Internet Group, KDDI, Highreso, Rutilea, and SAKURA Internet are also involved, working with NVIDIA to build AI infrastructure. Backed by Japan’s Ministry of Economy, Trade and Industry, they’re establishing AI data centres across Japan to accelerate growth in robotics, automotive, healthcare, and telecoms.

NVIDIA and SoftBank have also formed a remarkable partnership to build Japan’s most powerful AI supercomputer using NVIDIA’s Blackwell platform. Additionally, SoftBank has tested the world’s first AI and 5G hybrid telecoms network with NVIDIA’s AI Aerial platform, allowing Japan to set a worldwide standard. With these developments, Japan is taking big strides toward establishing itself as a leader in the AI-powered industrial revolution.

(Photo by Andrey Matveev)

See also: NVIDIA’s share price nosedives as antitrust clouds gather

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: artificial intelligence, machine learning, Nvidia

[monterplant]

SoftBank's telecom unit plans to build an AI supercomputer in Japan using Nvidia's DGX B200 platform, and a follow-up effort featuring the Grace Blackwell chip (Bloomberg)

Bloomberg: SoftBank’s telecom unit plans to build an AI supercomputer in Japan using Nvidia’s DGX B200 platform, and a follow-up effort featuring the Grace Blackwell chip  —  – Nvidia’s highly anticipated Blackwell line will power machine  — The two companies deliver the news from AI Summit in Tokyo Continue reading SoftBank’s telecom unit plans to build an AI supercomputer in Japan using…

[youthchronical]

SK Hynix rallies 6.5% after Nvidia boss Jensen Huang asks firm to expedite next-generation chip

Chey Tae-won, chairman of SK Group, during the SK AI Summit in Seoul, South Korea, on Monday, Nov. 4, 2024. SK Hynix is working with Nvidia to resolve the supply bottleneck, Chey said.  Jean Chung | Bloomberg | Getty Images Shares of SK Hynix rallied 6.5% on Monday after the business announced a next-generation memory chip and the parent company’s chair said that the South Korean semiconductor…

[hindustanmorning]

Zoho partnered with NVIDIA to create business-specific LLMs with NeMo technology.

Zoho Corporation plans to employ NVIDIA’s AI-accelerated computing platform, including NVIDIA NeMo, to develop and deploy large language models (LLMs) in its Software as a Service (SaaS) applications. This development was unveiled on October 24, 2024, during the NVIDIA AI Summit in Mumbai. The LLMs will be made available to Zoho’s global client base of over 700,000 through ManageEngine and…

[madarinj]

NVIDIA AI Summit: Fireside Chat between Sh. Mukesh Ambani and Jensen Huang

[24x7newsroom]

AI-savvy PM Modi wows NVIDIA CEO, Jensen Huang

Prime Minister Narendra Modi’s understanding of technology has captivated major tech leaders, including NVIDIA’s renowned CEO, Jensen Huang.

Huang expressed that Modi’s vision for a digital India and his familiarity with emerging technologies like AI have positioned the country prominently on the global tech stage. He highlighted how government initiatives such as Digital India, Startup India, and Make in India have significantly contributed to the advancement of India’s tech landscape.

At Friday’s NVIDIA AI Summit in Mumbai, Huang recalled his first meeting with Prime Minister Modi six years prior, expressing surprise when Modi asked him to address his Cabinet on artificial intelligence.

“It was truly the first time any government leader, any national leader, asked me to address his Cabinet on this specific topic. This was long before artificial intelligence was on anyone’s radar,” Huang noted.

This encounter was not the first instance of Modi leaving Huang impressed.

After a crucial roundtable discussion between the prime minister and prominent technology CEOs, Huang praised Modi’s enthusiasm for emerging technologies, especially AI. As a leader in AI hardware and software, Huang commended Modi’s vision for integrating AI into India’s future growth.

“He is an exceptional student, and whenever I meet him, he is eager to learn about technology, Read More-https://24x7newsroom.com/ai-savvy-pm-modi-wows-nvidia-ceo-jensen-huang/

[govindhtech]

NVIDIA NVLink Revolutionizing GPU-Accelerated Computing

For GPU and CPU processors in accelerated systems, NVLink is a high-speed link that drives data and computations to useful outcomes. Once limited to high-performance computers in government research facilities, accelerated computing has become widely available.

AI supercomputers are being used by banks, automakers, factories, hospitals, merchants, and others to handle the increasing amounts of data that they must process and comprehend.

These strong, effective systems are computing superhighways. On their lightning-fast trip to actionable answers, they transport calculations and data via parallel routes.

The resources along the route are CPU and GPU processors, and their onramps are quick connections. NVLink is the industry standard for accelerated computing interconnects.

What is NVLink?

A reliable software protocol creates the high-speed link between GPUs and CPUs known as NVLink, which usually runs on many wire pairs printed on a computer board. It enables lightning-fast data transmission and reception across processors from shared memory pools.Image Credit To NVIDIA

At speeds of up to 900 gigabytes per second (GB/s), NVLink, which is now in its fourth iteration, links host and accelerated processors.

The bandwidth of PCIe Gen 5, the link found in traditional x86 servers, is more than seven times that amount. Additionally, because NVLink uses just 1.3 picojoules per bit for data transfers, it has five times the energy efficiency of PCIe Gen 5.

History of NVLink

With each successive NVIDIA GPU architecture, NVLink has improved in tandem since its initial release as a GPU connection with the NVIDIA P100 GPU.Image Credit To NVIDIA

When NVLink first connected the GPUs and CPUs in two of the most potent supercomputers in the world, Summit and Sierra, in 2018, it gained significant attention in the field of high performance computing.

Installed in Oak Ridge and Lawrence Livermore National Laboratories, the systems are advancing science in areas like drug development and catastrophe forecasting, among others.

Bandwidth Doubles, Then Grows Again

The third-generation NVLink, which came with a dozen interconnects in each NVIDIA A100 Tensor Core GPU, increased the maximum capacity per GPU to 600GB/s in 2020.

AI supercomputers in cloud computing services, business data centers, and HPC laboratories worldwide are powered by the A100.

One NVIDIA H100 Tensor Core GPU now contains eighteen fourth-generation NVLink interconnects. Additionally, the technology has assumed a new, strategic function that will allow for the world’s most sophisticated CPUs and accelerators.

A Chip-to-Chip Link

A board-level connection called NVIDIA NVLink-C2C is used to combine two processors onto a single device, forming a superchip. For instance, the NVIDIA Grace CPU Superchip, a processor designed to provide energy-efficient performance for cloud, corporate, and HPC customers, combines two CPU chips to produce 144 Arm Neoverse V2 cores.

A Grace CPU and a Hopper GPU are additionally joined via NVIDIA NVLink-C2C to form the Grace Hopper Superchip. It combines accelerated computation for the most demanding AI and HPC tasks on a single chip.

One of the first to employ Grace Hopper will be Alps, an AI supercomputer slated for the Swiss National Computing Center. The high-performance supercomputer will tackle huge research challenges in domains ranging from quantum chemistry to astrophysics when it goes online later this year.Image Credit To NVIDIA

Additionally, Grace and Grace Hopper are excellent in reducing energy consumption in demanding cloud computing tasks.

The Grace Hopper processor, for instance, is perfect for recommender systems. In order to provide billions of users with trillions of results every day, these internet economic engines require quick and effective access to large amounts of data.

A potent system-on-chip for automakers that incorporates NVIDIA Hopper, Grace, and Ada Lovelace processors and uses NVLink. NVIDIA DRIVE Thor is a vehicle computer that integrates cognitive features including entertainment, automatic driving, parking, digital instrument cluster, and more into a single architecture.

LEGO Links of Computing

NVLink functions similarly to the socket that is imprinted onto a LEGO component. It serves as the foundation for constructing supersystems to handle the most challenging AI and HPC tasks.

For instance, an NVIDIA DGX system’s eight GPUs’ NVLinks exchange quick, direct connections using NVSwitch chips. When combined, they allow for an NVLink network in which each server’s GPU functions as a single system.

DGX workstations itself may be stacked into modular units of 32 servers to provide even higher performance, forming a strong, effective computing cluster.

Using an NVLink network within the DGX and an NVIDIA Quantum-2 switched InfiniBand fabric between them, users may integrate a modular block of 32 DGX devices into a single AI supercomputer. An NVIDIA DGX H100 SuperPOD, for instance, has 256 H100 GPUs to provide up to an exaflop of the best AI performance.

Users may access cloud-based AI supercomputers, like the one Microsoft Azure is constructing with tens of thousands of A100 and H100 GPUs, to achieve even higher performance. Some of the biggest generative AI models in the world are trained using this service by organizations like OpenAI.

Additionally, it serves as another illustration of the potential of accelerated computing.

Read more on Govidhtech.com

[thevoicefentrepreneur]

Akshay Kumar Praises NVIDIA CEO Jensen Huang in Martial Arts Discussion

Bollywood actor Akshay Kumar recently engaged in a captivating conversation that linked two seemingly unrelated fields—cinema and artificial intelligence—while also exploring a more personal topic: martial arts. Kumar met Jensen Huang, the CEO of NVIDIA, during Huang’s visit to India in preparation for the NVIDIA AI Summit in Mumbai.

Recognized for his action-driven roles and commitment to fitness, Kumar shared a photo of this remarkable encounter on social media. In the picture, both Kumar and Huang are seen in playful martial arts stances. Kumar is clad in a sleek black suit, while Huang dons his signature black leather jacket.

Accompanying the image, Kumar tweeted, “Can you believe I met the world’s foremost expert on Artificial Intelligence and ended up discussing martial arts?! What an amazing individual you are, Mr. Jensen Huang. Now I see why NVIDIA is such a powerhouse in the industry.”

The tweet quickly went viral, capturing the attention of not only Bollywood enthusiasts but also tech fans excited about the intersections of entertainment and technology. Jensen Huang, often hailed as a visionary for his contributions to the AI landscape, seemed to bond well with the Bollywood star, likely finding shared values in discipline and focus—qualities vital to both martial arts and cutting-edge technological innovation.

Huang is visiting India for the upcoming NVIDIA AI Summit in Mumbai, an event aimed at showcasing the latest developments in AI and GPU technology. His meeting with Kumar adds a personal touch to an otherwise technology-centric itinerary, emphasizing the growing overlap between technology and popular culture in our daily lives.

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