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NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning

This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.

Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,...

Read the full story at NVIDIA Technical Blog ↗

Timeline · 10 reports

  1. 2026-10-17 14:20 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 · Hugging Face
  2. 2026-10-17 00:11 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 · Hugging Face
  3. 2026-10-16 12:09 · r/LocalLLM
    Has anyone tried this Bolt 74B-A9B 24GB on a 5090 yet?
  4. 2026-10-16 07:39 · r/LocalLLM
    NVIDIA Nemotron 3.5 Bolt 74B A9B 24GB GGUF
  5. 2026-10-15 23:22 · r/LocalLLaMA
    nvidia/Nemotron-3.5-Embed-1B-BF16 · Hugging Face
  6. 2026-10-15 20:12 · r/machinelearningnews
    NVIDIA releases Nemotron 3.5 Super VL (120B-A12B, open weights, 1M ctx, image + video) and Bolt 74B-A9B that fits in 24GB
  7. 2026-10-15 18:01 · NVIDIA Technical Blog
    NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
  8. 2026-10-15 15:30 · r/LocalLLM
    NVIDIA releases new models: Nemotron-3.5 Bolt and Nemotron-3.5-Super-VL!
  9. 2026-10-15 15:04 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB · Hugging Face
  10. 2026-10-15 14:46 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B model family released (base, NVFP4, BF16, and LiLiCorr speculative decoding)

More stories

  1. NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning — NVIDIA Technical Blog
  2. Academic history research agent on 16GB vRAM, context important — r/LocalLLM
  3. reflection/Beam-1.0-501B-A23B · Hugging Face — r/LocalLLaMA
  4. QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases — r/LocalLLaMA
  5. Ternary Bonsai 2 (2B, 4B, and 9B) just released on Hugging Face. The 2B can run entirely locally in the browser at up to 500 tok/s on an M4 Max with custom WebGPU kernels. — r/LocalLLaMA
  6. Notes from a 2 AM On-Call: When llama-swap's Model Reload Hit a 30s Timeout Wall — DEV Community — AI
  7. Round 3: Tested 128K context on a 3090 with real code (Django) and a novel. Finding one thing is solid, counting is hopeless — r/LocalLLM
  8. Qwen Ships Qwen3-VL 8B Locally, Seeing Images and Video in 5 GB — AlphaSignal

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