Artificial Intelligence - Page 2

Meta is shifting into the warm arms of nuclear power for its AI training, with the company posting a new blog on its sustainability website saying that "we believe nuclear energy will play a pivotal role in the transition to a cleaner, more reliable, and diversified electric grid".

In the new post, Meta announces that it is going to release a request for proposals (RFP) to find nuclear energy developers to help them on their nuclear-powered journey. Meta aims to add 1-4 GW of new nuclear eneration capacity in the United States to be delivered "starting in the early 2030s".

Meta explains: "We are looking to identify developers that can help accelerate the availability of new nuclear generators and create sufficient scale to achieve material cost reductions by deploying multiple units, both to provide for Meta's future energy needs and to advance broader industry decarbonization. We believe working with partners who will ultimately permit, design, engineer, finance, construct, and operate these power plants will ensure the long-term thinking necessary to accelerate nuclear technology".

NVIDIA's next-generation Rubin AI GPU architecture release rumored to be pulled up by 6 months, TSMC 3nm process expected, with ultra-fast next-gen HBM4 memory.

The new Rubin AI GPU architecture is the successor to the Blackwell GPU architecture, which is being used in the current fleet of B200 and GB200 chips, as well as the future GB300 series AI GPU that we're hearing more and more about lately. In a new report from UDN, we're hearing that NVIDIA is already working with supply chain partners in Taiwan on the Rubin AI GPU architecture and its new R100-powered AI servers.

Rubin was originally scheduled for 2026, but sources of UDN say that the company has launched the development of Rubin early, so that the AI boom can continue from one AI GPU chip to another (Blackwell to Rubin, and so on).

NVIDIA's beefed-up GB300 AI servers are expected to hit the market in mid-2025, rolling out with even more performance, faster (and more) 12-Hi HBM3E memory, and more.

In a new report from the UDN, we're learning that supply chain manufacturers have already started the process for next-gen NVIDIA GB200 AI servers, which will have massive power consumption increases over the already power-hungry GB200 AI servers.

We heard not too long ago in October 2024 that NVIDIA was reportedly rebranding its upcoming "Blackwell Ultra" AI GPUs to the B300 series, with B300 and GB300 chips using TSMC's new CoWoS-L advanced packaging. The B200 Ultra was reportedly renamed to the B300, while the GB200 Ultra has been renamed to GB300, while B200A Ultra and GB200A Ultra are now B300A and GB300A, respectively.

Elon Musk has reportedly directly approached NVIDIA CEO Jensen Huang, offering a premium price to get priority access to its new GB200 AI servers, with a hefty $1.08 billion order.

In a new report from DigiTimes, industry sources have said that Elon Musk's xAI startup wants its hands on NVIDIA GB200 AI servers, and it doesn't want to wait: with CEO Elon Musk stepping in and making a call to NVIDIA CEO Jensen Huang, waving $1.08 billion around for priority access to the most powerful AI GPU silicon on the planet.

xAI's huge $1.08 billion order for NVIDIA GB200 AI GPUs will be manufactured by NVIDIA's key partner, Foxconn, and should be delivered in January 2025.

Panasonic was originally founded in 1918 by Kōnosuke Matsushita under the name Matsushita Electric Housewares Manufacturing Works, and now the founder has been resurrected by the modern-day Panasonic.

Panasonic collaborated with the University of Tokyo to resurrect Matsushita who died in 1989. Engineers fed 3,000 recordings of Matsushita into an AI, along with any relevant writings, lectures, and interviews. Panasonic's Peace and Happiness through Prosperity (PHP) Institute, a think tank originally founded by Matsushita, plugged all of the relevant data into an AI and trained it to character an AI character that is designed to replicate Matsushita's way of thinking and speaking style.

What's the goal of this? Panasonic wants to use the AI replica of the company's founder as a consultant, querying it in difficult situations to see what Matsushita would do based on the current circumstances. Notably, Matsushita was renowned for his incredible management philosophies in business, and is incredibly celebrated in Japan for the transformation of what was once a business that sold lamps into what Panasonic is today.

Companies developing artificial intelligence tools require large swaths of data for AI training, and what better way to gather large quantities of data than by scraping it from people using popular applications or programs?

@nixCraft, an author of Cyberciti.biz has claimed Microsoft is participating in this type of scheme with Office, and it's Connected Experiences. According to nixCraft, Redmond's Connected Experiences feature automatically scraps data from Word and Excel files, and that data is used to train Microsoft's AI tools, such as Copilot. According to reports, this feature is turned on automatically, which means user-generated Word documents and Excel files are included in Microsoft's AI training dataset unless the user manually disables the feature.

However, following reports sourcing @nixCraft's claims, Microsoft has since responded, saying customer data within Microsoft 365 apps, which includes Word and Excel, isn't used to train the company's Large Language Models (LLMs), the underlying technology powering AI tools such as Copilot, or ChatGPT. Microsoft also added, "This setting only enables features requiring internet access like co-authoring a document."

Amazon has reportedly developed a new video AI model codenamed Olympus, a new generative artificial intelligence (AI) that can process images and videos (as well as text) according to The Information.

The outlet reports that Amazon's move with its new video AI model will reduce its reliance on Anthropic's chatbot, Claude, which is a popular model that Amazon Web Services (AWS) offers. The Information talked to two sources, who said that the new large language model (LLM) is codenamed Olympis, and will be capable of understanding and processing scenes in images and videos, helping people look for specific scenes for their video.

This can include making the best coffee, raindrops falling to the ground, and so much more with easy text prompts according to The Information's sources. Amazon's new Olympus video AI model could be announced as soon as next week, with the annual AWS re:Invent customer conference according to The Information's source.

IMAX is stepping up its game, announcing a partnership with Dubai-based startup Camb.ai, using its AI speech models to translate IMAX original content, including documentaries, to increase its global reach.

The entertainment industry has been going through some gigantic shifts, with the entertainment and media industry growing 5% to $2.8 trillion in 2023 according to a report published by PwC. The industry is expected to continue its momentum, with a compound annual growth rate of around 4% to $3.4 trillion in the next 5 years.

The fact that non-English language content is growing rapidly (even in English markets) including the US, UK, Australia, and Canada. Netflix reported 90% growth in its viewership of non-English content in the UK over the last 3 years, reports Yahoo Finance.

Dell has just announced its new IR7000 servers that support up to 480kW per rack of computing power with Direct Liquid Cooling. Check it out:

Dell CEO Michael Dell posted on X saying: "Our new IR7000 supports up to 480kW per rack of computing power with Direct Liquid Cooling. The flexible design allows for any combination of Cloud, AI and HPC. The system is engineered to capture nearly 100% of the heat produced within each rack".

Dell has three example configurations of its new IR7000 server racks:

NVIDIA is "working as fast as it can" to certify Samsung's new AI memory chips -- HBM3E -- with CEO Jensen Huang himself telling Bloomberg TV.

Jensen talked with the press after attending a ceremony at the Hong Kong University of Science and Technology, where the NVIDIA CEO was given an honorary doctorate in engineering. Jensen said that NVIDIA is looking at ways to purchase 8-layer and 12-layer HBM3E memory chips from Samsung, while as it stands, the company is acquiring most of its HBM chips used on its AI GPUs, from South Korean rival SK hynix.

Earlier this week during NVIDIA's Q3 2024 post-earnings call with analysts, the CEO didn't mention Samsung when talking about the company's major suppliers -- naming SK hynix and Micron -- but now, the company is "working as fast as it can" to get Samsung HBM3E certified.