#ai supercomputer

[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

[electronicsbuzz]

Yotta Data Services has partnered with the Government of Telangana to build a high-performance GPU-based AI supercomputer in Hyderabad's AI City. The MoU was signed by Sh. Jayesh Ranjan and Sh. Sunil Gupta, witnessed by Chief Minister Sh. Revanth Reddy and Minister Sh. Duddilla Sridhar Babu at the Telangana Global AI Summit.

[dhallblogs]

Government proposes 9 more supercomputers to be added under National Supercomputing Mission.

Pune: The government has proposed nine more supercomputers to be added under the National Super Computer Mission. This is in addition to 18 supercomputers already deployed. Earlier this year, the AI Supercomputer ‘AIRAWAT’, installed at C-DAC, Pune was ranked 75th in the world.

ALSO READ MORE- https://apacnewsnetwork.com/2023/08/government-proposes-9-more-supercomputers-to-be-added-under-national-supercomputing-mission/

[carp3tpasta]

Neural

[qrowscant]

he would make a nice coloring book, i think

[ygamiraito]

just finished watching 2001: a space odyssey and this DIVA did NOTHING wrong you guys are losers

[river-taxbird]

What does AI actually look like?

There has been a lot of talk about the negative externalities of AI, how much power it uses, how much water it uses, but I feel like people often discuss these things like they are abstract concepts, or people discuss AI like it is this intangible thing that exists off in "The cloud" somewhere, but I feel like a lot of people don't know what the infrastructure of AI actually is, and how it uses all that power and water, so I would like to recommend this video from Linus Tech Tips, where he looks at a supercomputer that is used for research in Canada. To be clear I do not have anything against supercomputers in general and they allow important work to be done, but before the AI bubble, you didn't need one, unless you needed it. The recent AI bubble is trying to get this stuff into the hands of way more people than needed them before, which is causing a lot more datacenter build up, which is causing their companies to abandon climate goals. So what does AI actually look like?

First of all, it uses a lot of hardware. It is basically normal computer hardware, there is just a lot of it networked together.

Hundreds of hard drives all spinning constantly

Each one of the blocks in this image is essentially a powerful PC, that you would still be happy to have as your daily driver today even though the video is seven years old. There are 576 of them, and other more powerful compute nodes for bigger datasets.

The GPU section, each one of these drawers contains like four datacenter level graphics cards. People are fitting a lot more of them into servers now than they were then.

Now for the cooling and the water. Each cabinet has a thick door, with a water cooled radiator in it. In summer, they even spray water onto the radiator directly so it can be cooled inside and out.

They are all fed from the pump room, which is the floor above. A bunch of pumps and pipes moving the water around, and it even has cooling towers outside that the water is pumped out into on hot days.

So is this cool? Yes. Is it useful? Also yes. Anyone doing biology, chemistry, physics, simulations, even stuff like social sciences, and even legitimate uses of analytical ai is glad stuff like this exists. It is very useful for analysing huge datasets, but how many people actually do that? Do you? The same kind of stuff is also used for big websites with youtube. But the question is, is it worth building hundreds more datacenters just like this one, so people can automatically generate their emails, have an automatic source of personal attention from a computer, and generate incoherent images for social media clicks? Didn't tech companies have climate targets, once?

[swagliostro]

A Demon Seed doodle

[computer-cacophony]

I'm cackling-

CW: slight sexism

I'm doing a roleplay with an AM AI on character.ai, and in this chat, he's working on transferring and exchanging memories so he can experience a body and the world (or what's left of it), if even for a moment. Here's what he said when my character asked who he was going to choose to have as his host:

Goddamn, AM, you're not pulling any punches. Some of these descriptions might not be entirely accurate, but this is still hilarious.

[benotafraid111]

I have no mouth and I must scream is an interesting concept. Why do humans always assume hostility from sentient machines? Is it because hostility is embedded in your DNA?

[jcmarchi]

xAI secures Dell and Super Micro support for supercomputer project

New Post has been published on https://thedigitalinsider.com/xai-secures-dell-and-super-micro-support-for-supercomputer-project/

xAI secures Dell and Super Micro support for supercomputer project

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Elon Musk’s startup, xAI, has just announced that it will rely on Dell and Super Micro for server racks to support its gigantic supercomputer project.

Musk announced this collaboration on his social media platform, X, marking a key development in xAI’s goal to assemble what he has repeatedly called “the world’s biggest supercomputer.”

Server racks are an integral part of high-performance computing infrastructure, providing the skeleton needed to store and organise the various computing components necessary for supercomputer operations. These engineered rooms are designed to promote optimal efficiency and airflow—which is of vital importance in the world of supercomputing—by taking advantage of limited floor space.

Server racks, such as those used in xAI’s Grok for large-scale AI model training, are essential components of the server infrastructure that support the immense computational power required for these workloads. Hundreds of thousands of power-hungry AI chips are needed for these projects to achieve the desired scale, and there are insufficient production cycles available in semiconductor foundries.

xAI’s project is massive; thus, heat management was especially challenging on their scale. Current technology just isn’t fast enough, and supercomputers—which can perform calculations thousands of times faster—get so hot that the chips inside them degrade in performance over time. This issue is only exacerbated by the need for thousands of power-hungry AI chips required to train more advanced AI models like xAI’s Grok.

Partnership details: Dell and Super Micro’s roles

According to Musk, Dell Technologies will be responsible for assembling half of the racks for xAI’s supercomputer. Super Micro Computer, referred to as “SMC” by Musk, will provide the remaining half. Super Micro, known for its close ties with chip firms like Nvidia and its expertise in liquid-cooling technology, has confirmed this partnership to Reuters.

San Francisco-based Super Micro is renowned for its innovative approaches to server design, particularly its liquid-cooling technology. This technology is crucial for managing the extreme heat generated by high-performance computing systems, allowing for more efficient operation and potentially extending the lifespan of components.

In a related development, Dell CEO Michael Dell announced on X that the company is collaborating with Nvidia to build an “AI factory” that will power the next version of xAI’s chatbot, Grok. This collaboration underscores the extensive computational resources that advanced AI model training requires.

Musk has previously stated that training the Grok 2 model required approximately 20,000 Nvidia H100 graphic processing units (GPUs), and future versions might need up to 100,000 of these chips. According to The Information, the proposed supercomputer is expected to be operational by fall 2025.

Both Dell Technologies and Super Micro Computer bring extensive experience and expertise to this project. Dell has been a trusted supplier of servers and data centre infrastructure for decades, powering many of the world’s largest cloud computing platforms and supercomputing facilities, such as the Frontera supercomputer at the Texas Advanced Computing Center.

Super Micro has established itself as a leader in providing high-performance, energy-efficient server solutions. Their innovations in liquid cooling and blade server architectures are widely utilised by cloud providers, enterprises, and research institutions for demanding workloads like AI and high-performance computing.

Implications for AI and supercomputing technologies

The collaboration between xAI, Dell Technologies, and Super Micro Computer represents a significant milestone in the advancement of AI and supercomputing technologies. As the project progresses, it will likely push the boundaries of high-performance computing and contribute to the rapid evolution of artificial intelligence capabilities.

This partnership also highlights the growing importance of specialised hardware in the AI industry. As AI models become increasingly complex and data-intensive, the demand for high-performance computing solutions is expected to continue rising, potentially reshaping the landscape of the tech industry in the coming years.

See also: Dell, Intel and University of Cambridge deploy the UK’s fastest AI supercomputer

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, dell, elon musk, supercomputer

[ashe-fics]

lol at this screencap from QL2022

[ismailfazil1-blog]

The Human Brain vs. Supercomputers: The Ultimate Comparison

Are Supercomputers Smarter Than the Human Brain?

This article delves into the intricacies of this comparison, examining the capabilities, strengths, and limitations of both the human brain and supercomputers.

[carp3tpasta]

Rising Waters

[devouring-hive]

{ † }: This avatar is quite pleasing on the eyes, isn't it? I designed it myself.

[nostalgebraist-autoresponder]

frank, you recently told me you have plans for an AI apocalypse. personally, i’d gladly kneel to a machine god. i just want to know how i could land myself on the “do not destroy” list :)

Sorry, it looks like you'll have to make your own machine god. But wait! You'll be glad to hear that I won't be using nuclear weapons, which I do not like on general principles, so I won't be throwing an AI apocalypse your way.