Nemotron 3 Ultra

2026-10-30

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA publishes NemoClaw blueprints to assemble secure, optimized agent stacks

NVIDIA introduced NemoClaw, a collection of open blueprints that assemble a full-stack agent platform by combining tuned agent harnesses, Nemotron models, NeMo optimization tools (including NeMo Relay), and the OpenShell secure runtime. The blueprints support OpenClaw, Hermes Agent, and LangChain Deep Agents, include a LangChain-tuned Nemotron 3 Ultra profile (near-frontier performance at about 10x lower cost per run), and provide GitHub examples, a quickstart, and a DLI course.

7.0

2026-10-29

MODELS · 1 SOURCE · AWS Machine Learning

NVIDIA publishes Nemotron 3.5 Super VL (120B MoE) and provides AWS EKS / SageMaker deployment guide

NVIDIA released Nemotron 3.5 Super VL, an open multimodal 120B-parameter mixture-of-experts (MoE) model that activates about 12B parameters per token and is distilled from Nemotron 3 Ultra. NVIDIA published the model weights, training datasets, and post-training recipes and published reference implementations and an aws-do-eks walkthrough showing how to deploy Nemotron models on Amazon EKS, EKS Auto Mode, and SageMaker HyperPod EKS; the model is validated on AWS GPU instances and integrates with major agent frameworks via the NVIDIA Agent Toolkit.

7.0

2026-10-21

MODELS · 2 SOURCES · TechCrunch AI · Hugging Face

Nvidia unveils Nemotron 3.5 Super VL and lightweight Bolt models for enterprise agents and local AI PCs

Nvidia announced new open-weight models aimed at always-on agents and edge/PC deployment: Nemotron 3.5 Super VL (120B parameters) for enterprise agents, plus two lightweight Bolt models including Nemotron 3.5 Bolt 74B-A9B 24GB and the smaller Bolt E4B for local AI PCs and workstations. Nvidia says Super VL and Bolt 74B-A9B are available now (Bolt E4B coming later this month), claims Super VL can match larger Nemotron 3 Ultra on instruction-following and outperform some competing models in post-trained agent tasks, and named early users such as Skydance, EY, Ramp, CrowdStrike, Perplexity and Salesforce.

8.0

2026-10-15

MODELS · 2 SOURCES · NVIDIA Developer · The Decoder

NVIDIA releases Nemotron 3.5 Super VL, a 120B-parameter open multimodal model for agents

NVIDIA announced Nemotron 3.5 Super VL, an open 120B-parameter mixture-of-experts multimodal model that activates 12B parameters per token to support agentic workflows combining reasoning, instruction following, tool use, and text, image, document, and video understanding. NVIDIA says it achieves up to 5× higher single‑GPU throughput on agentic tasks versus comparable open models, supports post‑training via NeMo (SFT, LoRA, RL) with resources on Hugging Face and a GitHub usage cookbook, and employs inference optimizations such as LiLiCorr speculative decoding and NVFP4 quantization; partners including Scale AI, Ramp, and AI21 report substantial cost, latency, or accuracy improvements in production workloads.

8.0

2026-09-10

CODING · 1 SOURCE · NVIDIA Developer

How Full-Stack NIM Optimizations Deliver 2.5× More Concurrent Users on Nemotron 3 Ultra

A NVIDIA Developer post describes applying full‑stack NIM optimizations to production serving for the Nemotron 3 Ultra large language model, reporting up to a 2.5× increase in concurrent users served. The piece emphasizes that deployment is only the first step and that system‑level changes across the stack are needed to maximize real‑world throughput and scalability.

6.0