NVIDIA Nemotron 3 Ultra
NVIDIA Nemotron 3 Ultra is a 550B-parameter model you reach through an API, with 55B parameters active per token — too large to self-host, so this page covers what it does, how to access it, and what to run locally instead.
You don't run NVIDIA Nemotron 3 Ultra locally
At 550B parameters (55B active per token), a Q4-class build of NVIDIA Nemotron 3 Ultra would need roughly 330 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom (0.6 GB per billion parameters, our standard Q4 rule). Access is through the hosted API.
Jun 4, 2026 NVIDIA release. 550B total / 55B active hybrid Mamba-2 + MoE, up to 1M context. SWE-Bench Verified 70.7. Weights are open (OpenMDW-1.1, nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 on HF; community GGUF is ~188GB even at 2-bit), so self-hosting needs a ~256GB-class multi-node rig. No consumer tier fits it and Ollama's tag is cloud-only, hence listed as cloud.
Strong local alternatives
More Nemotron models
Frequently asked questions
Can I run NVIDIA Nemotron 3 Ultra locally?
Not realistically. NVIDIA Nemotron 3 Ultra is a 550B-parameter model (55B active); a Q4-class build would need roughly 330 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom. The hosted API or a smaller open model is the practical path.
How do I access NVIDIA Nemotron 3 Ultra?
Through the vendor-hosted API. See the official source linked on this page.
What is the best local alternative to NVIDIA Nemotron 3 Ultra?
Qwen3 235B A22B is the strongest local model we track (235B). It runs on a single high-memory Mac or GPU; see its page for exact hardware.
Cite this page
ModelFit: NVIDIA Nemotron 3 Ultra — specs, memory math and hardware verdicts. https://modelfit.io/models/nemotron-3-ultra/ (dataset updated 2026-09-03, CC BY 4.0).