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How much VRAM does Nemotron 3 Ultra 550B A55B need?

Nemotron 3 Ultra 550B A55B needs 316 GB for its weights at 4-bit, 318 GB with an 8K context and 318 GB with 32K. At 8-bit, 556 GB.

Parameters
561B
Active per token
55B
Longest context
256K
Released
Jun 2026
License
OpenMDW 1.1
Strongest at
Chat, Coding, Docs

Memory at each precision

Memory Nemotron 3 Ultra 550B A55B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit1,044 GB1,045 GB1,046 GB1,047 GB
8-bit555 GB556 GB556 GB557 GB
6-bit428 GB429 GB430 GB431 GB
5-bit371 GB373 GB373 GB374 GB
4-bit316 GB318 GB318 GB319 GB
3-bit255 GB257 GB257 GB258 GB
2-bit196 GB197 GB197 GB199 GB
1.6-bit108 GB109 GB109 GB110 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Nemotron 3 Ultra 550B A55B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 3090Too big
RTX 4090Too big
RTX 5090Too big
2× RTX 3090Too big
RTX PRO 6000 BlackwellToo big
M4 Max 128 GBToo big
M5 Max 128 GBToo big
Ryzen AI Max+ 395 128 GBToo big
DGX Spark 128 GB1.6-bit256K15 tok/s13 s
M3 Ultra 256 GB1.6-bit256K27 tok/s35 s
M5 Ultra 512 GB4-bit256K17 tok/s11 s
H100 SXMToo big
DGX Station GB3002-bit256K93 tok/s1.0 s
8× H200 NVL8-bit256K42 tok/s0.5 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

llama.cpp
llama-server -hf unsloth/NVIDIA-Nemotron-3-Ultra-550B-A55B-GGUF
vLLM
vllm serve nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
MLX (Mac)
mlx_lm.chat --model mlx-community/Nemotron-3-Ultra-550B-A55B-4bit

Questions

How much VRAM does Nemotron 3 Ultra 550B A55B need?

Nemotron 3 Ultra 550B A55B needs 316 GB for its weights at 4-bit, 318 GB with an 8K context and 318 GB with 32K. At 8-bit, 556 GB.

Can Nemotron 3 Ultra 550B A55B run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the DGX Spark 128 GB.

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