NVIDIA
The official handle for NVIDIA.
5.0•27 reviews•2.1K followers
The official handle for NVIDIA.
5.0•27 reviews•2.1K followers
NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. We created the world’s largest gaming platform and the world’s fastest supercomputer. We are the brains of self-driving cars, intelligent machines, and IoT.
This is the 31st launch from NVIDIA. View more
Nemotron 3 Ultra by NVIDIA
Launching today
A 550B MoE frontier-intelligence open model built for long-running agents.
It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.Ultra excels at complex tasks like coding and deep research.
Long-running agents spend their time planning, using tools, recovering from failures, and deciding what to do next.
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Launch Team
NVIDIA just shipped Nemotron 3 Ultra, a 550B open frontier model purpose-built for long-running AI agents.
Most frontier reasoning models are optimised for single-turn accuracy. Agentic tasks are different: agents plan, call tools, delegate to sub-agents, handle failures, and pass history back into the model across many turns. As sessions get longer, token costs compound and models start losing the thread.
Nemotron 3 Ultra addresses this with a hybrid Mamba-Transformer architecture that handles long-context sequences without losing recall, and NVFP4 quantisation that delivers 5x higher throughput per GPU compared to BF16 on Blackwell.
Here's what ships:
550B total / 55B active parameters via LatentMoE so you get frontier reasoning without activating the full model on every token
Up to 1M token context window handles large codebases, long tool-call chains, and multi-document synthesis natively
Multi-token prediction layers reduces generation time on long outputs and multi-turn workflows
Post-trained for OpenClaw, Hermes Agent, and LangChain Deep Agents accurate across agent harnesses, not just chat benchmarks
Multi-Teacher On-Policy Distillation trained with dense feedback from 10+ domain-specific teacher models across code, math, and tool use
Fully open weights, synthetic training data, and post-training recipes all released under OpenMDW-1.1
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends
Tabstack
550B params (55B active), 1M context, 300 tok/sec. probably the strongest US open-weights model out there right now - and it's currently available for free on @Kilo Code
ouch.