Advanced Micro Devices is swiftly becoming a major source of parallel processing power for hyperscalers.

Decentralized GPU networks are pitching themselves as a lower-cost layer for running AI workloads, while training the latest ...

Accelerating investment in AI infrastructure will remain a strong tailwind for chip stocks -- and not just the GPU ...

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 ...

China has agreed to import its first batch of NVIDIA’s H200 AI chips after the government initially rejected the idea, ...

AMD already launched Gorgon Point to replace its Strix Point series, and a Gorgon Halo refresh of Strix Halo could be next.

TL;DR: NVIDIA's upcoming N1X AI PC processor, featuring Arm CPU and Blackwell GPU cores, achieves impressive Geekbench OpenCL scores surpassing all integrated GPUs and rivaling the GeForce RTX 5070.

Nvidia's AI boom is increasingly tied to billions in GPU-backed private credit, with CoreWeave and other AI clouds borrowing heavily to buy Nvidia chips. Here's why Nvidia is becoming a private credit ...

Ubitus currently operates two data centers in Japan, in Tokyo and Osaka. In October 2024, reports emerged that Ubitus was ...

With Seeweb’s Serverless GPU, you get immediate and scalable access to computing power to accelerate AI innovation ...

TL;DR: NVIDIA will ship its new B30 AI GPU in Q4 2024, offering 10-20% lower performance than the H20 but at 30-40% reduced cost. With eased US export restrictions, NVIDIA expects 400,000 H20 units ...

Why GPU memorymatters for CAD,viz and AI. Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when ...