Leveraging optical interconnects and scale, Huawei's new CloudMatrix 384 AI cluster surpasses Nvidia's GB200 performance but ...

Further optimisations of the summation stage include summing across warps on the GPU or employing multi-threading and vectorisation on the CPU side. Metrics presented in this section synthesise all ...

TSMC produces over 90% of the world’s advanced AI chips, powering major products like Nvidia’s H100 and Google’s TPU. Learn why TSM stock is a strong buy.

Last fall, CEO Mark Zuckerberg said the upcoming models are being trained on more than 100,000 of Nvidias (NASDAQ:NVDA) H100 chips one of the largest setups seen so far. Meta also recently shared ...

A custom Nvidia processor is at the heart of the Nintendo ... has been cagey to share more details on its partnership with the graphics and AI giant, Nvidia published a short press release ...

With 1,000 engineer years of effort across every element, from system and chip design to a custom GPU, APIs, and development tools, the Nintendo Switch 2 brings significant upgrades. The new ...

According to Nvidia, the Switch 2 will feature 10x the graphics performance of the current Switch, most of which is likely aided by DLSS. The specific model of DLSS the console uses isn’t listed ...

Intel(NASDAQ: INTC) stock moved lower on Tuesday. The company's share price closed out the session down 2.9% and had been off as much as 4.9% earlier in trading. Meanwhile, the S&P 500 index ended ...

NVDA dominates the AI GPU market ... in Llama-3-400B training compared to H100 and 41% higher memory latency on 1k+ GPU clusters. Although Intel has been left behind a bit due to strategic and ...

No company has been a more direct beneficiary of the rise of AI than Nvidia, whose graphics processing units ... of Nvidia's success is its Hopper (H100) and next-generation Blackwell GPUs.

Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. Traditionally, ANNS has served as the ...

While my main question — What GPU do you use and why? — is quite broad, I have some extra input on interesting tidbits I'd like to find out. Do you use a desktop or a laptop? Pre-built or DIY?