Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...
Microsoft’s new Maia 200 inference accelerator chip enters this overheated market with a new chip that aims to cut the price ...
As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...
The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining ...
Nvidia (NVDA) said leading cloud providers — Amazon's (AMZN) AWS, Alphabet's (GOOG) (GOOGL) Google Cloud, Microsoft (MSFT) Azure and Oracle (ORCL) Cloud Infrastructure — are accelerating AI inference ...
No, we did not miss the fact that Nvidia did an “acquihire” of AI accelerator and system startup and rival Groq on Christmas ...
Much attention has been focused in the news on the useful life of graphics processing units, the dominant chips for artificial intelligence. Though the pervasive narrative suggests GPUs have a short ...
This smart move by Nvidia accomplishes two goals at once: it eliminates a potential competitor and obtains a new chip technology to offer its customers. The deal also includes Jonathan Ross, Groq's ...
TL;DR: NVIDIA is reducing production of its B40 AI GPU for China from 1.5-2 million to 900,000 units in 2025, as Chinese AI firms favor RTX 5090 gaming GPUs, Hopper AI chips, and local alternatives.
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