· ai
How to Reduce GPU Cost by More Than 40% for ML Workloads
TL;DR A100 → H100 → H200 marks a major performance leap. Choose based on memory needs, compute demands, and cost per workload. A100s remain highly cost‑efficien...
TL;DR A100 → H100 → H200 marks a major performance leap. Choose based on memory needs, compute demands, and cost per workload. A100s remain highly cost‑efficien...
The world’s top‑performing system for graph processing at scale was built on a commercially available cluster. NVIDIA last month announcedhttps://blogs.nvidia.c...
Several suspects have been apprehended for allegedly violating export control laws regarding the supply of Nvidia H100 and H200 AI chips to China....