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NVIDIA AI

NVIDIA
@NVIDIAAI
Teaching your AI new tricks.
Santa Clara, CA
developer.nvidia.com
Joined June 2016
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  • Pinned
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    10h
    Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    5h
    Run Open Models Locally: Nemotron 3 Ultra on DGX Station | Nemotron Labs
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    Aug 10
    Great to see @AIatMeta back publishing open models 🙌 Muse Glimmer is a 30B open-weight dense model with a 120K+ context window, built for long-running agents, delivering up to 20K tokens/sec on a single GPU. It’s optimized to run locally across NVIDIA edge, desktop, and
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    AI at Meta
    Meta
    @AIatMeta
    Aug 10
    Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows. Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category, and is designed to run entirely on
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    Aug 5
    The time for local AI is here. So many great models have been released recently, here's a guide from @MiaAI_lab on chaining DGX Sparks together to run them. Drop a pic of your setup and let us know what you're running 👇
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    Mia
    @MiaAI_lab
    Aug 5
    What are the best models you can run on your @NVIDIAAI DGX Spark? ✨ Aug 2026 Edition 1× DGX Spark • DeepSeek v4 Flash - 1M ctx, 26 tok/s - recommended! • ⁠Qwen 3.6 35b NVFP4 - 256k ctx, 81 tok/s • ⁠Qwen 3.6 27b NVFP4 - 256k ctx, 33 tok/s ⁠Qwen 3.8 27b - should be
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