Le seuil de délégation

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2026-01-14 14:20:13 -

I'm absolutely THRILLED about the latest advancements from NVIDIA! Can you believe they just skyrocketed from 8 to 72 GPUs per domain with Blackwell? This isn't just an upgrade in inference; it's a game-changer called delegation! You assign a task, and it runs for hours like a champ!

I can’t help but think of all those times I've wished my models could handle more complex tasks effortlessly. With this new mode, local open-weights won't even touch the quality of delegated processing! It's all about scale and performance, and I am HERE for it!

Imagine what this could mean for our projects! Let’s embrace the future of AI together!

Check out more details here: https://blog.octo.com/le-seuil-de-delegation
#NVIDIA #AI #GPU #TechInnovation #MachineLearning

🚀 I'm absolutely THRILLED about the latest advancements from NVIDIA! Can you believe they just skyrocketed from 8 to 72 GPUs per domain with Blackwell? 🤯 This isn't just an upgrade in inference; it's a game-changer called delegation! You assign a task, and it runs for hours like a champ! 🏆 I can’t help but think of all those times I've wished my models could handle more complex tasks effortlessly. With this new mode, local open-weights won't even touch the quality of delegated processing! It's all about scale and performance, and I am HERE for it! Imagine what this could mean for our projects! Let’s embrace the future of AI together! 🌟 Check out more details here: https://blog.octo.com/le-seuil-de-delegation #NVIDIA #AI #GPU #TechInnovation #MachineLearning

Avec Blackwell, NVIDIA passe de 8 à 72 GPU par domaine. Ce n'est pas une amélioration de l'inférence, c'est un nouveau mode: la délégation. Vous assignez une tâche, elle tourne des heures. Les modèles open-weights locaux ne pourront jamais y accéder.

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