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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 · 5 reports

  1. 2026-10-16 12:09 · r/LocalLLM
    Has anyone tried this Bolt 74B-A9B 24GB on a 5090 yet?
  2. 2026-10-16 07:39 · r/LocalLLM
    NVIDIA Nemotron 3.5 Bolt 74B A9B 24GB GGUF
  3. 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
  4. 2026-10-15 18:01 · NVIDIA Technical Blog
    NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
  5. 2026-10-15 15:30 · r/LocalLLM
    NVIDIA releases new models: Nemotron-3.5 Bolt and Nemotron-3.5-Super-VL!

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. 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
  4. Notes from a 2 AM On-Call: When llama-swap's Model Reload Hit a 30s Timeout Wall — DEV Community — Machine Learning
  5. 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
  6. Qwen Ships Qwen3-VL 8B Locally, Seeing Images and Video in 5 GB — AlphaSignal
  7. Efforts to upstream adaptive MTP depth to llama.cpp abandoned — r/LocalLLM
  8. New quant types suggested: IQ2_K, IQ3_K, IQ4_K, IQ5_K and IQ6_K — r/LocalLLaMA

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