Japan should focus on edge AI for factory floors rather than large data centers, according to a commentary highlighting deployments at Toyota, FANUC, and Musashi Seimitsu. Toyota's casting plant uses …
Fal, an inference-infrastructure company, announced on August 27, 2026, that its new H3 Max model generates five seconds of AI video with audio in under three seconds, claiming roughly 35x the through…
Marin 535B-A23B, a 535-billion-parameter mixture-of-experts large language model with 23 billion activated parameters, began open training this week on 18.75 trillion tokens across 11 NVIDIA GB200 NVL…
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…