NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) — Benchmarks & Specs
Short answer: the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) generates 536 tokens/sec on gpt-oss:20b (MXFP4) under vllm in a single cited run, per StorageReview; there are too few comparable runs on file for a median.
Bottom line: how fast is the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station)?
In a batched serving run it reaches 536.0 tokens/sec aggregate throughput (many concurrent requests, not one user's generation speed) running gpt-oss:20b at MXFP4 under vllm, per StorageReview.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
The NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) is an APU from the Grace Blackwell Ultra family released in 2026 from NVIDIA. Data on this page draws on 9 community AI inference reports, compiled from StorageReview; each table row links to its source. Read this page when shopping the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station), comparing it against other APUs in your build, or sizing it for a specific workload (local LLM inference).
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| glm-5.3-flash | NVFP4 <not stated> | 353.0 tok/s | — | StorageReview 2026-10-05 | |
| qwen3-coder:30b | FP8 vllm | 319.0 tok/s | — | StorageReview 2026-09-23 | |
| glm-5.3 | NVFP4 <not stated> | 44.0 tok/s | — | StorageReview 2026-10-05 |
Batched serving throughput
| Model | Quantization | Relative | Tokens/sec (aggregate) | VRAM used | Source |
|---|---|---|---|---|---|
| gpt-oss:20b | MXFP4 vllm 128 concurrent requests | 536.0 tok/s aggregate | — | StorageReview 2026-09-23 | |
| minimax-m3 | NVFP4 vllm batched | 282.0 tok/s aggregate | — | StorageReview 2026-09-23 | |
| minimax-m2.7 | NVFP4 vllm batched | 214.0 tok/s aggregate | — | StorageReview 2026-09-23 | |
| deepseek-v4-flash | FP8 vllm batched | 152.0 tok/s aggregate | — | StorageReview 2026-09-23 | |
| deepseek-v4-flash | FP8 vllm batched | 148.0 tok/s aggregate | — | StorageReview 2026-09-23 | |
| glm-5.2 | NVFP4 vllm batched | 35.0 tok/s aggregate | — | StorageReview 2026-09-23 |
Full Specifications
| CPU arch | Grace (Arm) |
|---|---|
| GPU arch | Blackwell Ultra |
| AI pflops fp4 | 20 |
| Coherent memory | 748 GB |
Source: blogs.nvidia.com
NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) — Frequently Asked Questions
What is the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) best used for?
When was the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) released?
Where do the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) benchmark numbers come from?
How many cores does the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station) have, and how does it benchmark?
Where can I buy the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station)?
Buying guides that rank the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station)'s class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the NVIDIA GB300 Grace Blackwell Ultra Desktop (DGX Station)
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