Artificial Intelligence News - Page 13

Samsung has just announced it's forming a new semiconductor development organization in Silicon Valley called AGI Computing Lab, which will work on developing AGI-specific semiconductors.

The leader of this new AGI organization is called AGI Computing Lab and is being led by Dr. Woo Dong-hyuk in a senior vice president role, as well as a former Tensor Processing Unit (TPU) developer from Google, where he was one of the three people who designed the TPU platform for Google.

Samsung has been providing HBM memory chips for AI GPU makers like NVIDIA, but now the company is pushing into its own AGI semiconductor business, with a $100 billion war chest to take on the likes of TSMC and Intel, which just announced its latest Intel 18A and next-gen Intel 16A process nodes. Intel plans on taking the crown from TSMC in making the world's fastest chips this year, aiming for domination against TSMC in 2026.

NVIDIA just posted its latest quarterly earnings, blowing expectations out of the water with $22 billion in revenue, largely driven by the AI GPU dominance by the company.

The company has been selling as many AI GPUs as it's been making, slowly improving the supply chain holdups that were stopping companies and governments from getting NVIDIA AI GPU hardware. TSMC (Taiwan Semiconductor Manufacturing Company) has been in the middle of this, with their advanced CoWoS packaging technology also flexing its (required) muscle here.

If you think we've seen enough AI so far, you're wrong... the technology industry is all-in with AI like it's 3D + VR + RGB + ray tracing all at the same time. NVIDIA CEO Jensen Huang says we're in the first year of a 10-year cycle in AI, with Jensen explaining: "Accelerated computing and generative A.I. have hit the tipping point. Demand is surging worldwide across companies, industries and nations".

NVIDIA posted its fourth fiscal quarter earnings today, smashing Wall Street predictions for earnings and sales, and we even got a tease of its next-gen Blackwell B100 AI GPU.

NVIDIA CEO Jensen Huang explained: "Whenever we have new products, as you know, it ramps from zero to a very large number and you can't do that overnight". The new products Jensen is referring to are NVIDIA's upcoming beefed-up H200 AI GPU and its next-gen B100 AI GPU, which are both dropping this year.

The company has recently improved its supply chain issues which were hampering AI GPU shipments, even though the company reported record revenue for the quarter, driven by its Data Center business. Even with that, the company is selling AI GPUs as fast -- in fact, faster -- than the company can make them.

ChatGPT appears to have misfired in spectacular fashion at times since yesterday, and although the gremlins in the works may now have been smoothed over by OpenAI, an official investigation into what caused the problems hasn't yet been concluded.

So, what did go wrong? Well, as you can see in the above post on X (formerly Twitter), the AI started talking complete nonsense, sprinkling in Spanglish, and generally acting highly erratically. There are quite a few reports of this kind of behavior, too.

This is the sort of thing we've seen from AI models before, but usually close to launch, when the products are only just out of testing, and still being honed.

According to a new report at Bloomberg, Reddit has signed an AI content licensing deal that will see the social media company receive $60 million annually. For a cool $60 million, an unnamed AI company will get access to every Reddit post and thread for AI model training.

The move comes as a way to boost interest in the upcoming Reddit IPO - with the report stating that Reddit informed potential investors of the $60 million contract earlier this year. Citing sources "familiar with the matter" will give an unknown generative AI model access to decades worth of data, images, clips, and conversations.

Reddit is one of the most popular social destinations on the internet, so a deal like this makes sense when generative AI models need as much data as possible to train on. Until now, using data freely available on the internet (like Reddit posts) has been a go-to for many AI models (including OpenAI's GPT-2), so it's only natural to see money changing hands.

With AI technology and tools advancing at a pace that very few can comprehend, especially regarding applications and possibilities, it's an area where safety and responsibility across all levels are paramount.

This is where the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) comes in, a division of the U.S. Department of Commerce and the National Institute of Standards and Technology.

AISIC will focus on the safety and 'trustworthy' development and deployment of AI, creating tools, methodologies, and industry standards. As a pioneer in AI hardware, tools, and software, NVIDIA has announced that it will work with AISIC to foster an age of AI safety.

NVIDIA will host its GPU Technology Conference (GTC) 2024 event on March 18, returning to an in-person event after the virtual world took over during the pandemic.

The company will be hosting a keynote with NVIDIA CEO Jensen Huang to talk about AI, which shouldn't be a surprise by now, with NVIDIA now promoting GTC 2024 as the "#1 AI Conference for Developers". What should we expect at GTC 2024? NVIDIA will most likely unveil its next-gen Blackwell GPU architecture, and its new B100 AI GPU that will absolutely demolish AI benchmark charts.

NVIDIA's exciting GTC events -- which I used to attend year after year and truly, dearly miss, were one of my favorite events of the entire year in tech -- normally focusing on data centers, workstations, and high-end GPUs. Now, the focus is shifting to the world of AI, which NVIDIA absolutely dominates. It has the most AI GPUs in the market, has 90%+ of the AI GPU market share, and it's about to unleash a next-gen B100 AI GPU.

The delivery speed of NVIDIA AI GPU shipment has been "greatly accelerated," according to UBS analysts; previously, it was taking 8-11 months for deliveries, but now that's been reduced to just 3-4 months.

NVIDIA and TSMC (Taiwan Semiconductor Manufacturing Company) have greatly increased production capacities, solving the bottleneck issue of advanced CoWoS packaging technology. NVIDIA can now not only clear out its H100 AI GPU inventories, but it can begin pushing more of its beefed-up H200 AI GPU shipments, and upcoming next-gen B100 "Blackwell" AI GPUs that are coming this year.

Another factor in AI GPU shipments increasing from NVIDIA is that recent US export restrictions into China have freed up production capacity for other orders. UBS analysts also believe that the decreased delivery cycle implies that short-term growth of NVIDIA AI GPUs is "close to its peak," so continued growth may be weak... but NVIDIA is expecting its AI GPU shipments to increase 150% year-over-year. CEO Jensen Huang also said that the AI market could be worth $2 trillion over the next 5 years recently at the World Government Summit in Dubai.

NVIDIA has officially taken the wraps off of its new Eos supercomputer, which is an incredibly powerful new system that's aimed at AI applications. Check it out:

The new NVIDIA Eos supercomputer features 576 x NVIDIA DGX H100 systems; each of the individual DGX H100 systems has 8 x NVIDIA H100 AI GPUs, delivering a grand total of 4608 x NVIDIA H100 AI GPUs inside powering them. NVIDIA is using its in-house Quantum-2 InfiniBand architecture to connect them all, delivering some truly mind-blowing performance.

NVIDIA's powerful new H100-powered Eos AI supercomputer features 18.4 exaflops of FP8 AI performance, providing NVIDIA with a continued edge against the competition regarding AI performance. NVIDIA first revealed its new Eos supercomputer at the Supercomputing 2023 trade show in November 2023, but now it's here and ready to take on AI workloads.

OpenAI has just announced its latest tool -- Sora -- which will generate videos from text prompts, and it has truly incredible videos out before the new tool has been officially released. Check it out:

OpenAI posted on X about Sora, teasing: "Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions". The new model is named "Sora" after the Japanese word for "sky" and can produce impressive video results up to 60 seconds long just from a text prompt.

OpenAI explained on its website: "We're teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction".