#include Stan.h
@StanTechAddict
Tech fan since early 80s, focused in DC HW/SW, ideas and opinions in this tweeter feed only engage myself and not the company I work for.
Talvez você curta
May 11th, 1992: Nathan F. Myhrvold to Bill Gates "Topics for System Strategy" My guess is that the following things will happen to Intel: Is this good for us? The answer is YES! That this is an extremely good thing for anybody in the x86 world except Intel iowa.gotthefacts.org/011607/5000/PX…
BullSequana XH3500 : une plateforme pour la souveraineté européenne dans le calcul intensif usinenouvelle.com/article/bullse…
🚀 Introducing SGLang Diffusion — bringing SGLang’s high-performance serving to diffusion models. ⚡️ Up to 5.9× faster inference 🧩 Supports major open-source models: Wan, Hunyuan, Qwen-Image, Qwen-Image-Edit, Flux 🧰 Easy to use via OpenAI-compatible API, CLI & Python API…
Hybrid models like Qwen3-Next, Nemotron Nano 2 and Granite 4.0 are now fully supported in vLLM! Check out our latest blog from the vLLM team at IBM to learn how the vLLM community has elevated hybrid models from experimental hacks in V0 to first-class citizens in V1. 🔗…
Quite a surprising reading hgpu.org/?p=30326 FP not so good vs INT for inferencing ? And MXINT8 with symetric clipping methode "nearly lossless" and recommanded for training.
MESSAGE SUITE À LA PRÉSENTATION DU MUSÉE NATIONAL DU JEU VIDÉO L’ @assomo5, reconnue d’intérêt général, est fière d’avoir annoncé officiellement hier sur son stand de la @ParisGamesWeek l’ouverture du « Musée National du Jeu Vidéo » couvrant les années 1950 à nos jours à Arcueil…
[Leçon inaugurale] Yann Le Cun - Apprentissage profond et au-delà : les ... youtu.be/Z208NMP7_-0?si… via @YouTube
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[Leçon inaugurale] Yann Le Cun - Apprentissage profond et au-delà :...
Looking for papers/articles demonstrating with numbers the importance of GPU scale-up network for #inference including with MoE but not only 🤔
??? Superconductors… loosing resistance when at temperature ??? (Microsoft)
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