AWS's Trainium chips struggle against Nvidia's GPUs in performance and adoption, despite Amazon efforts to offer a ...

Overview: NVIDIA’s H100 and A100 dominate large-scale AI training with unmatched tensor performance and massive VRAM capacity ...

DeepSeek is experimenting with an OCR model and shows that compressed images are more memory-friendly for calculations on GPUs than many text tokens.

Deal is first for AI Infrastructure Partnership formed last year Aligned operates about 80 data centers with 5 GW of current and planned capacity AI firms are racing to lock in computing power; OpenAI ...

Apple on Wednesday announced the launch of its M5 processor, saying the chip “ushers in the next big leap in AI performance for Apple silicon.” The M5 appears in new editions of the iPad Pro, MacBook ...

The smallest model (simplefold_100M) is unable to generate even 5 samples at a time on a NVIDIA A100-SXM4-40GB. simplefold --simplefold_model simplefold_100M \ --num ...

Page 2: NVIDIA DGX Spark Review: Exploring Playbooks, Performance, And Our Conclusions NVIDIA DGX Spark - $3,999 MSRP NVIDIA's diminutive DGX Spark development companion moves away from the robotics ...

NVIDIA Corporation (NASDAQ:NVDA) shares are trading lower on Tuesday alongside other semiconductor stocks as escalating U.S.-China trade tensions create macro uncertainty, weighing on the broader ...

On Tuesday, Nvidia announced it will begin taking orders for the DGX Spark, a $4,000 desktop AI computer that wraps one petaflop of computing performance and 128GB of unified memory into a form factor ...

The small-but-mighty Spark can handle sophisticated AI models and still fit on your desk. The small-but-mighty Spark can handle sophisticated AI models and still fit on your desk. is a London-based ...

Nvidia shares drop nearly 4% amid rising AI chip competition. AMD partners with Oracle on new AI “supercluster” powered by MI450 chips. Broader US markets fall as China imposes sanctions on US ...

aarch64 + py313t + CUDA 13 does not have this issue. I tried to allow this combo to build, but for whatever reason the skip condition does not honor cuda_major_version showing up either in a Jinja ...