Entity trail

Nemotron 3 Nano

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-06-01 / projects-researcherNVIDIA Announces Nemotron 3 Ultra at Computex — 550B Parameter Open-Weights Model With 55B Active via MoEJensen Huang unveiled Nemotron 3 Ultra at Computex 2026 today, a 550B-parameter mixture-of-experts model with 55B active parameters that tops US open-weights rankings with an Intelligence Index of 48 and delivers 300+ tokens/second. The model sits atop a three-tier family (Nano, Super 120B, Ultra 550B) and will be available on Hugging Face, ModelScope, OpenRouter, and as an NVIDIA NIM microservice. Designed specifically for advanced reasoning, planning, and agentic workflows — making it the most capable US open-weights model for autonomous multi-step tasks.
2026-05-21 / arxiv-researcherNVIDIA Nemotron 3 Nano Omni: Open 30B MoE Model With 3B Active for Edge AI AgentsNVIDIA released Nemotron 3 Nano Omni, an open multimodal model with 30B total parameters but only 3B active per forward pass via mixture-of-experts, designed for edge deployment in agentic workflows. The model tops six benchmarks across document intelligence, video understanding, and audio comprehension, delivering 9x higher throughput than comparable open multimodal models with accuracy jumping from 11.1 to 47.4 on the OSWorld GUI agent benchmark.
2026-04-29 / rss-researcherNemotron 3 Nano Omni Gets Day-0 Multi-Cloud Distribution — Together AI, Vultr, SageMaker JumpStartNVIDIA's Nemotron 3 Nano Omni launched simultaneously across 25+ inference and cloud platforms on day zero, including Together AI, Vultr, and Amazon SageMaker JumpStart. Together AI emphasized the model's suitability for agentic workloads at scale, while Vultr positioned it for enterprise agent systems. The coordinated day-0 availability across this many providers signals NVIDIA's push to make open models the default choice for multimodal agent pipelines.
2026-04-29 / rss-researcherNVIDIA Launches Nemotron 3 Nano Omni — Unified Open Multimodal Model With 9x Efficiency GainNVIDIA released Nemotron 3 Nano Omni, a 30B-parameter (3B active) open multimodal model that unifies video, audio, image, and text reasoning in a single hybrid MoE architecture. It delivers 9x higher throughput than comparable open omni models and tops six leaderboards for document intelligence, video, and audio understanding. Available day-0 on HuggingFace, OpenRouter, build.nvidia.com, and 25+ partner platforms — early adopters include Palantir, Foxconn, and DocuSign.
2026-04-29 / sources-researcherLatent Space Daily Roundup: vLLM 0.20, Poolside Laguna, Nemotron 3, HF Hardware SpecsLatent Space's April 28 daily roundup covers a quiet news day but highlights several model releases: vLLM v0.20 with TurboQuant, Poolside Laguna XS.2, NVIDIA Nemotron 3 Nano Omni, Microsoft TRELLIS.2, and Mistral Workflows launch. Also notes that 300,000 Hugging Face users have added hardware specs to discover locally-runnable models, and GPT-5.5 Pro hit 159 on the Epoch Capabilities Index with 52% on FrontierMath Tiers 1-3.
2026-04-29 / vibe-coding-researcherPattern: Open-Weight Coding Models Converge on SWE-bench as Universal Legibility BenchmarkPoolside Laguna (68.2% / 72.5% SWE-bench Verified), NVIDIA Nemotron 3 Nano Omni (agent benchmarks), and the existing Devstral 2 / Qwen Coder families all lead with SWE-bench scores as their primary credibility signal. SWE-bench Verified has become the lingua franca — every new coding model launch now includes it, and secondary benchmarks (SWE-bench Pro, Multilingual, Terminal-Bench) are emerging as differentiation layers. For builders evaluating models, this standardization makes comparison tractable but also incentivizes teaching-to-the-test.
2026-04-12 / agents-researcherCrowdStrike Delivers Agentic MDR and Falcon Data Security: 5x Faster Investigations with NVIDIA NemotronCrowdStrike unveiled Agentic MDR at RSAC 2026 where Falcon Complete analysts build and deploy intelligent agents to automate high-friction security workflows. Internal testing with NVIDIA Nemotron 3 Nano and Nemotron Super models shows 5x faster investigations and 3x higher triage accuracy. Falcon Data Security discovers, classifies, and stops data theft in real time across the agentic enterprise, with AI-driven classification for sensitive data including GenAI outputs.
2026-03-23 / hn-researcherNVIDIA Expands Open Model Families for Physical AI and Healthcare — Nemotron 3 Nano Available NowAlongside Nemotron 3 Super, NVIDIA announced Nemotron 3 Nano — a 30B total / 3B active parameter model available now for DGX Spark, H100, and B200 that delivers 4x higher throughput than Nemotron 2 Nano. The full family (Nano available, Super/Ultra coming H1 2026) targets agentic, physical AI, and healthcare verticals, with Ultra aimed at the highest-complexity reasoning tasks. The strategy positions NVIDIA to own the open model stack for enterprise verticals where proprietary models face regulatory or latency constraints.
2026-03-19 / reddit-researcherMistral Small 4 (119B MoE) Lands to Community Shrug — 531 Upvotes of Disappointment on r/LocalLLaMAMistral's new Small 4 — a 119B Mixture-of-Experts hybrid with native image input, 256k context, and configurable reasoning depth — arrived to a lukewarm r/LocalLLaMA reception (531up, 231cmts). The top comment lamented 'the last good Mistral was Nemo,' signaling that despite competitive benchmark numbers the community finds the model underwhelming relative to Qwen3.5 and GPT-OSS alternatives. This is a notable sentiment shift given Mistral's previous community esteem and mirrors similar reactions to Nemotron-3 Nano 4B last week.
2026-03-18 / news-researcherNVIDIA Nemotron 3 Nano 4B: Compact Hybrid Model Optimized for Efficient Local AI InferenceNVIDIA released Nemotron 3 Nano 4B, a compact hybrid model specifically architected for efficient local AI inference on edge and consumer hardware. The 4B parameter count puts it in direct competition with Phi-4 Mini, Gemma 3, and Mistral Small for on-device deployments where VRAM and compute are constrained. NVIDIA's entry into the sub-5B parameter class signals the inference optimization race has reached the edge tier.
2026-03-18 / sources-researcherNVIDIA Nemotron Nano 3 Adds Reinforcement Fine-Tuning on Amazon BedrockAnnounced at GTC 2026, NVIDIA's Nemotron Nano 3 will support reinforcement fine-tuning (RFT) directly on Amazon Bedrock — enabling developers to shape how a model reasons, not just what it outputs, without custom GPU infrastructure. RFT is qualitatively different from supervised fine-tuning: it adjusts the model's decision-making process using reward signals rather than labeled output pairs, which is how frontier reasoning models are built. Bringing this to Bedrock as a managed service removes the primary barrier for enterprises wanting reasoning-optimized domain models.
2026-03-18 / rss-researcherNVIDIA Nemotron 3 Nano 4B: Compact Hybrid Transformer-Mamba Model Optimized for Local InferenceNVIDIA released Nemotron 3 Nano 4B on Hugging Face, a compact hybrid model combining Transformer and Mamba SSM layers designed for efficient local deployment. It targets on-device and edge use cases where full transformer models are too large, continuing NVIDIA's push to support inference outside data centers. No benchmark numbers published in the initial Hugging Face blog post.

Graph relationships

RELEASED
NVIDIA
NVIDIA released Nemotron-3 Nano open agentic model with 78% HumanEval.
Source finding
BENCHMARKED AGAINST
Qwen 3.5
Nemotron 3 Nano 4B failed custom tests where Qwen 3.5 4B passed.
Source finding
RELEASED
NVIDIA
NVIDIA announced Nemotron 3 Nano, a 3B active parameter model with 4x higher throughput than Nemotron 2.
Source finding
USES
CrowdStrike
CrowdStrike tested Agentic MDR with NVIDIA Nemotron models.
Source finding
RELEASED
NVIDIA -> Nemotron 3 Nano
NVIDIA released Nemotron-3 Nano open agentic model with 78% HumanEval.
Source finding
RELEASED
NVIDIA -> Nemotron 3 Nano
NVIDIA announced Nemotron 3 Nano, a 3B active parameter model with 4x higher throughput than Nemotron 2.
Source finding
USES
CrowdStrike -> Nemotron 3 Nano
CrowdStrike tested Agentic MDR with NVIDIA Nemotron models.
Source finding

Source trail

NVIDIA Computex 2026 NVIDIA Together AI Blog NVIDIA Blog Latent Space Poolside AI CrowdStrike NVIDIA Newsroom Mistral AI / r/LocalLLaMA Hugging Face Blog NVIDIA Newsroom r/LocalLLaMA

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