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#graceblackwell — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #graceblackwell, aggregated by home.social.

  1. #Nvidia’s #VeraRubin Platform Obsoletes Current AI Iron Six Months Ahead Of Launch
    Nvidia’s top brass says Vera-Rubin #NVL72 #rackscale system, with 72 GPU sockets and 36 CPU sockets as well as NVSwitch fabric linking the, delivers a 10X reduction in #inference cost per token for MoE #AI models and 4X reduction in number of GPUs (but maybe not a 4X reduction in cost, be careful) to train those models compared to the prior generation of #GraceBlackwell NVL72 systems.
    nextplatform.com/2026/01/05/nv

  2. Nvidia DGX Spark: Erste Tests zeigen enormes Potenzial für lokale KI-Entwicklung
    Die ersten Testberichte zum Nvidia DGX Spark deuten darauf hin, dass dieser Mini-PC die Erwartungen an lokale KI-Computer verändern könnte. Wir fassen für euch zusammen, wie sic
    apfeltalk.de/magazin/news/nvid
    #KI #News #Tellerrand #CUDA #DGXSpark #GraceBlackwell #KIEntwicklung #KIHardware #LokaleKI #MiniPC #Nvidia #Test

  3. #Arm wrestles away 25% share of #server market thanks to Nvidia's home-grown #CPU
    That’s up from 15% of the server market a year ago but still far short of 50% market share Arm infra chief was hoping for. Driving force behind this trend is adoption of Nvidia’s #GraceBlackwell #rackscale compute platforms like GB200 and GB300 #NVL72. Each of the 120-kilowatt machines is equipped with 72 Blackwell GPUs and 36 of Nvidia’s Grace CPUs based on the Arm #NeoverseV2 architecture.
    theregister.com/2025/09/11/nvi

  4. #Nvidia unveils #DGX Station workstation PCs with #GB300 #BlackwellUltra inside
    By launching its #DGXStation based on the GB300 Desktop Superchip platform as well as the #DGXSpark powered by the #GB10 #GraceBlackwell Superchip, Nvidia sets the stage for its #Arm-based desktop workstation platforms that will be aimed at broader market segments beyond data scientists, researchers, and software developers.
    tomshardware.com/tech-industry #ProjectDIGITS