OpenAI
Can the Arc Pro B60 run gpt-oss 20B?
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Yes. gpt-oss 20B is a 14 GB download (MXFP4 (as shipped)). The Arc Pro B60 gives the GPU 24 GB, leaving about 10 GB for context and runtime (our arithmetic).
Does it fit?
| gpt-oss 20B memory | 14 GB at MXFP4 (as shipped) (Ollama: gpt-oss tags) |
|---|---|
| Arc Pro B60 GPU memory | 24 GB of VRAM (product listing). |
| Left over | About 10 GB (our arithmetic) |
| Verdict | Fits 4 GB or more to spare (our estimate bands) |
Recommended quantization and context
Use the MXFP4 (as shipped) build that Ollama's tag downloads; the memory figure above is for that build. The model supports up to 128K of context, but longer context uses more memory. Ollama starts at a 4096-token context by default (Ollama FAQ).
With about 10 GB spare you have room to raise the context. Raise it in steps and re-check with ollama ps.
Run it
ollama run gpt-oss:20b Then check it's on the GPU:
ollama ps The PROCESSOR column should read 100% GPU. Driver setup for Intel cards on Windows, Linux and macOS, plus common fixes, is in the install and run section.
Where to buy the Arc Pro B60
ASRock Intel Arc Pro B60 Creator 24GB
Price shown at Amazon
Sold at Amazon.
Check price at Amazon (opens in a new tab)FAQ
Can the Arc Pro B60 run gpt-oss 20B?
Yes: gpt-oss 20B needs 14 GB (MXFP4 (as shipped), Ollama library) and the Arc Pro B60 gives the GPU 24 GB, leaving about 10 GB. That leaves room to raise the context above the 4096-token default. The fit bands are our estimate.
How much VRAM does gpt-oss 20B need?
14 GB for the MXFP4 (as shipped) build in the Ollama library, plus roughly 1–4 GB for context and runtime (our estimate). See the 16 GB page for other models that fit.
What command runs gpt-oss 20B?
ollama run gpt-oss:20b. Then run "ollama ps" and check the PROCESSOR column reads 100% GPU.
How fast is gpt-oss 20B on the Arc Pro B60?
We don't list a speed because we have no sourced measurement for this pairing. Speed depends on memory bandwidth, quantization and context length.