NVIDIA reports that two AI computing clusters built from identical H100, GB200 NVL72, or GB300 NVL72 systems can deliver 8% to 12% differences in training throughput due to configuration choices in ke…
Cursor and Together AI have deployed real-time, low-latency inference for Cursor's AI-powered coding platform using NVIDIA Blackwell GB200 NVL72 and HGX B200 hardware, achieving predictable worst-case…
NVIDIA and Google researchers have developed a host offloading technique in JAX that reduces high-bandwidth memory bottlenecks during LLM training, achieving up to 57% throughput improvements on NVIDI…
AI data centers in 2026 require 100–750 MW per site, driven by inference workloads and high-density GPU clusters like NVIDIA Blackwell. Gartner estimates global data center electricity demand will exc…