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NVIDIA GB10 Grace Blackwell for local LLMs

Written by Jakub Rusinowski · Last updated

With 128 GB of LPDDR5X at 273 GB/s, the GB10 Grace Blackwell runs 144 catalogued models at Q4_K_M with 8K context. The largest that fits is Step 3.7 Flash 198B-A11B (~119.7 GB), and the top pick is Qwen3.8-Flash-Next at 35–72 tok/s.

The silicon inside DGX Spark and the OEM boxes built on it — ASUS Ascent GX10, Dell Pro Max, HP ZGX Nano, Lenovo ThinkStation PGX. A 20-core Grace ARM CPU and a Blackwell GPU sharing 128 GB of LPDDR5X at 273 GB/s, running the full CUDA stack. Recorded as a CHIP so those machines can share one record instead of restating it.

Models that run on the GB10 Grace Blackwell

Q4_K_M, 8K context, 128 GB usable. Ranked by quality and speed.

ModelVRAMSpeed
Qwen3.8-Flash-Next
Qwen3.8
109.7 GB35–72 tok/s
Qwen 3.5 122B-A10B
Qwen 3.5
74.5 GB16–33 tok/s
Nemotron 3 Super 120B-A12B
Nemotron 3 Super
73.3 GB14–30 tok/s
Nemotron 3.5 Super VL 120B-A12B
Nemotron 3.5
73.3 GB14–30 tok/s
Mistral Small 4 119B-A6.5B
Mistral Small 4
72.6 GB21–43 tok/s
GPT-OSS 120B
GPT-OSS
71.6 GB38–80 tok/s
Llama 4 Scout 17B
Llama 4
68.2 GB12–25 tok/s
Llama 4.5 Scout
Llama 4.5
66.6 GB11–23 tok/s
Qwen3-Coder-Next (80B-A3B MoE)
Qwen3-Coder
49.4 GB58–120 tok/s
Kolibri 1
Kolibri
48.5 GB52–109 tok/s
Nemotron 3.5 Bolt 74B
Nemotron 3.5
45.6 GB25–52 tok/s
K2 Horizon MoVA 36B-A4B
K2 Horizon
25 GB33–69 tok/s
Showing 12 of 144

Buy it or rent the same memory

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Speed vs other GPUs

Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated

Specifications

Specs last updated 2026-09-19.

Memory
128 GB LPDDR5X
Memory bandwidth
273 GB/s
Memory bus
256-bit
Architecture
GB10 Grace Blackwell Superchip
Series
Grace Blackwell
Board power
140 W
Release year
2025
Compute backends
CUDA
Usable for models
128 GB
Best forunified memory AI70B modelslocal development

Similar GPUs

Frequently asked questions

Can the NVIDIA GB10 Grace Blackwell run local LLMs?

Yes. With 128 GB (128 GB usable by a model) it runs 144 of the catalogued models at Q4_K_M with 8K context; the largest is Step 3.7 Flash 198B-A11B, needing about 119.7 GB.

How fast is the NVIDIA GB10 Grace Blackwell for AI inference?

It is estimated to run Llama 3.1 8B at 26–53 tok/s at Q4_K_M. Llama 3.3 70B is estimated at 3.4–7.1 tok/s. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.

What LLMs can I run on 128 GB?

Among the best that fit: Qwen3.8-Flash-Next, Qwen 3.5 122B-A10B, Nemotron 3 Super 120B-A12B, Nemotron 3.5 Super VL 120B-A12B, Mistral Small 4 119B-A6.5B.