While AWS' Annapurna Labs team pushes ahead with custom silicon, it isn't putting all of its eggs in one basket. The cloud ...

In the fast-paced world of artificial intelligence, Aleksei Naumov has carved a niche as a trailblazer in neural network ...

ByteDance is the top buyer of Nvidia AI chips inside China, despite US regulations that require the sale of less powerful ...

xAI has already trained Grok 3 with 100,000 Nvidia H100s but ... compared to FP8 on the H100 Achieves 2.2x higher training performance than the H100 in tasks like fine-tuning Llama 2 and pre-training ...

Nvidia said the mode was trained on a group of DGX systems powered by 32 Nvidia H100 Tensor Core GPUs. Unfortunately, a timeline on when Fugatto might be released to the public was not shared.

Amazon’s Trainium2 instances with 100,000 processors “equals around 32,768 Nvidia H100 processors,” according to Tom’s Hardware. This helps to paint a picture as to why custom silicon ...

Nvidia stock has entered correction territory and some key shifts in the artificial intelligence narrative may be pressuring shares as 2024 winds down. The chipmaker's stock has declined 17% since ...

TL;DR: NVIDIA's GB200 AI servers face supply chain delays due to high design specifications, pushing mass production to Q2 or Q3 2025. The GB200 NVL72 model, expected to dominate 2025 deployments ...

Two names that consistently dominate headlines are Elon Musk and Nvidia (NASDAQ: NVDA). Both names often take center stage, but it's quite rare to see Musk and Nvidia in the same sentence.

Verifiable Compute’s new layer of trust is rooted right in the silicon of next-generation hardware from NVIDIA and Intel, setting the pace for a new standard for AI safety and innovation.