{"type":"post","id":"but-meta-isn-t-the-only-company-seeking-5bc9dc","slug":"but-meta-isn-t-the-only-company-seeking-5bc9dc","title":"But Meta isn't the only company seeking to claim its piece of the US open source ecosystem.","description":"Thesis: Nemotron 3.5 Super VL packages multimodal perception, reasoning, and tool use in an open model that organizations can adapt to specialized agent workflows.","retrieval_nugget":"Thesis: Nemotron 3.5 Super VL packages multimodal perception, reasoning, and tool use in an open model that organizations can adapt to specialized agent workflows.","published_at":"2026-10-16","updated_at":"2026-10-16","record_date":"2026-10-16","date_kind":"published_at","topics":["tool-use","agent-workflows"],"source_urls":["https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning?ncid=so-twit-170075"],"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:but-meta-isn-t-the-only-company-seeking-5bc9dc","status":"published","visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:d40cac8a1de7aeeef818a8e780926bc33f4e695b8f9fa6c730d1a9789a793d61","reviewed_at":"2026-10-16T12:08:14.601Z","source_evidence_count":1,"verified_claim_count":3,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":3,"implication_count":2,"watch_condition_count":2,"related_record_count":0},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Nemotron 3.5 Super VL packages multimodal perception, reasoning, and tool use in an open model that organizations can adapt to specialized agent workflows.","observed_facts":[{"text":"NVIDIA describes a 120-billion-parameter mixture-of-experts model with 12 billion parameters active per token.","source_urls":["https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning?ncid=so-twit-170075"]},{"text":"The announcement says the model handles text, images, documents, and video alongside reasoning, instruction following, and tool use.","source_urls":["https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning?ncid=so-twit-170075"]},{"text":"NVIDIA says teams can post-train it with NeMo using proprietary data, tools, policies, and workflows, and is releasing supporting datasets on Hugging Face.","source_urls":["https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning?ncid=so-twit-170075"]}],"mechanism":"A single model that can interpret visual and textual inputs while calling tools may reduce the need to route a workflow through separate vision-language and text models. Post-training provides a path to encode domain behavior, while the organization's own tools and policies define how the model is applied. This is a proposed operating advantage, not proof that every deployment can eliminate component models.","why_now":"The release is framed for longer enterprise workflows that combine documents, policy checks, evidence gathering, and tool calls; making a customizable multimodal foundation available gives builders a new option for those workflows.","implications":["Teams can evaluate whether one adaptable model simplifies a multimodal agent stack compared with separate model stages.","NVIDIA's customer examples are company-reported outcomes and require independent validation."],"evidence_boundary":"The supplied public source is NVIDIA's announcement and technical blog. Its throughput comparison, benchmark figures, and customer outcome numbers are vendor-reported; the source does not provide independent validation in the material available here.","watch_conditions":["Whether independent evaluations reproduce the claimed throughput and task-quality results on representative enterprise workflows.","Deployment details on supported hardware and reproducible evaluations."],"related_records":[],"new_branch_reason":"No prior New Runtime record is supplied; this release therefore starts a distinct analytical record about NVIDIA's multimodal agent model."},"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"routes":{"html":"https://newruntime.com/posts/but-meta-isn-t-the-only-company-seeking-5bc9dc/","markdown":"https://newruntime.com/posts/but-meta-isn-t-the-only-company-seeking-5bc9dc.md","json":"https://newruntime.com/posts/but-meta-isn-t-the-only-company-seeking-5bc9dc.json"},"next_reads":[{"type":"topic","path":"/topics/tool-use/","url":"https://newruntime.com/topics/tool-use/","title":"Tool Use","reason":"Explore the tool-use topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/tool-use.md","json_url":"https://newruntime.com/topics/tool-use.json"},{"type":"topic","path":"/topics/agent-workflows/","url":"https://newruntime.com/topics/agent-workflows/","title":"Agent Workflows","reason":"Explore the agent-workflows topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/agent-workflows.md","json_url":"https://newruntime.com/topics/agent-workflows.json"},{"type":"collection","path":"/posts/","url":"https://newruntime.com/posts/","title":"Field Notes","reason":"Open the latest editorial analysis.","media_type":"text/html","json_url":"https://newruntime.com/posts.json"},{"type":"collection","path":"/source-ledger.json","url":"https://newruntime.com/source-ledger.json","title":"Source Ledger","reason":"Inspect the public source evidence graph.","media_type":"application/json"}]}