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Public story · 2026-03-19 · source-backed
NVIDIA released AI-Q, an open-source enterprise deep research agent that claims top positions on DeepResearch Bench I and II using hybrid frontier/open models at half the query cost. Bundled with NemoClaw secure agent runtime and the Nemotron model family, integrated into LangChain's deep agent library. NVIDIA's direct move to own enterprise agent infrastructure. NVIDIA Newsroom
Each link below shares sources, entities, or timing with this story.
Re-architected PhysicsNeMo libraries and updated CUDA-X exposed as agent-ready tools, so engineering agents can invoke AI physics models, accelerated solvers and quantum chemistry directly instead of through bespoke wrappers. NVIDIA Research's ACE-RTL agent with Nemotron 3 Ult...
NVIDIA launched Nemotron 3 Super — a 120B total / 12B active parameter hybrid Mamba-Transformer MoE, open, designed specifically for multi-agent workloads, and delivering 5x higher throughput than Nemotron 2 at the same active parameter count (NVIDIA Newsroom). It ships with a...
LangChain and NVIDIA announced a combined enterprise stack: LangGraph, Deep Agents, and LangSmith with NVIDIA NIM microservices, Nemotron, NeMo Agent Toolkit, and Dynamo inference engine. LangSmith has processed over 15 billion traces and 100 trillion tokens. NIM delivers 2.6x...
NVIDIA's freshly released 4B entrant failed all custom agentic benchmarks where Qwen 3.5 4B Q8 passed every one. First head-to-head from GTC model releases. 142 upvotes on r/LocalLLaMA. Source
Chip-agnostic enterprise agents. Free usage in exchange for ecosystem contributions. NVIDIA positioning as the agent platform layer, not just compute. Pitching Salesforce, Cisco, Google, Adobe, CrowdStrike. CNBC
Strategic partnership produces an enterprise research system combining NVIDIA's parallel execution with LangGraph runtime. Positions LangGraph as the orchestration layer for NVIDIA-powered agentic compute. Source
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