NVIDIA550B (55B active)Q4_K_M 下约 339 GB 显存

Nemotron 3 Ultra 550B — 显存、速度与本地部署

作者: Jakub Rusinowski · 最后更新:

550B parameters, 55B active per token (512 latent experts, 22 routed), in a 108-layer stack where only 12 layers are attention, so the KV cache stays small. Includes a multi-token-prediction module for faster generation. Text only, 262,144-token context, OpenMDW-1.1. NVIDIA documents vLLM and SGLang serving on multi-GPU nodes.

Nemotron 3 Ultra 550B 在 Q4_K_M 下约需 339 GB 显存——量化权重加框架开销,不含 KV 缓存。在 Apple Silicon 上,这部分来自统一内存。

按量化级别的显存与速度

计算基准:NVIDIA RTX 4090 (24 GB)。包含 8K 上下文的 KV 缓存,因此数值高于上方的主数字。

量化显存速度(估算)适配
Q2_K
2.63 bpw
185.2 GB—放不下
Q3_K_M
3.41 bpw
239.8 GB—放不下
Q4_K_M
4.83 bpw
339.3 GB—放不下
Q5_K_M
5.67 bpw
398.2 GB—放不下
Q6_K
6.56 bpw
460.5 GB—放不下
Q8_0
8.50 bpw
596.4 GB—放不下
F16
16.00 bpw
1121.9 GB—放不下

黑色标记 = NVIDIA RTX 4090 (24 GB) 上的可用显存。 估算来自内存带宽屋顶线模型,详见 方法说明页. Nemotron 3 Ultra 550B 显存计算器 →

运行 Nemotron 3 Ultra 550B

目录中能运行 Nemotron 3 Ultra 550B 的最便宜 GPU 是 Apple M3 Ultra (512 GB).

购买此硬件 Apple Mac Studio M3 Ultra — 512 GB VRAM · 60 W board power立即云端部署 RunPod

或在 Vast.ai 比较

作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买,LLM Configurator 可能会获得佣金,而你无需支付任何额外费用。作为亚马逊联盟成员(Amazon Associate),LLM Configurator 会从符合条件的购买中获得收益。
Apple Mac Studio M3 Ultra
512 GB VRAM · 60 W board power
2026年价格波动较大——请以当前商品页价格为准。

如何运行 Nemotron 3 Ultra 550B

No local Ollama tag. Ollama lists nemotron-3-ultra only as a cloud-hosted ':cloud' tag, which runs on Ollama's servers, not your machine.

规格

Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source.

参数量
550 Billion (55B active)
上下文窗口
262,144
架构
Hybrid Mamba-2 + LatentMoE + attention, with MTP
提供商
NVIDIA
许可证
OpenMDW-1.1
Availability
Weights downloadable
Practical deployment
Workstation (large unified memory or pro GPU)
规格量化
Q4_K_M
系统内存
512 GB
记录更新于
2026-10-13
许可证OpenMDW-1.1允许商业使用

Commercial use permitted. No usage restrictions beyond attribution.

质量与使用场景

评分由模型作者或独立评测方发布——衡量质量而非吞吐量,并非我们实测。

最适合reasoningagentstool callinglong context

Independent evaluation — not vendor-claimed and not measured by us

基准分数来源
AA Intelligence Index v4.3.2 (Reasoning)23independent · Artificial Analysis · snapshot 2026-10-13

Nemotron 3 Ultra 550B — 常见问题

How much VRAM does Nemotron 3 Ultra 550B need?

About 339 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Nemotron 3 Ultra 550B run on an RTX 4090 (24 GB)?

No. Nemotron 3 Ultra 550B needs about 339 GB at Q4_K_M, more than a single RTX 4090's 24 GB. It needs a larger card, several GPUs, or Apple Silicon with enough unified memory — or it runs with part of the weights offloaded to system RAM, which is much slower.

How do I run Nemotron 3 Ultra 550B locally?

No local Ollama tag. Ollama lists nemotron-3-ultra only as a cloud-hosted ':cloud' tag, which runs on Ollama's servers, not your machine. Running the published tag would send your prompts to a hosted GPU rather than your own machine.