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Can the Arc B580 run Llama 3.1 8B?
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Yes. Llama 3.1 8B is a 4.9 GB download (Q4_K_M). The Arc B580 gives the GPU 12 GB, leaving about 7.1 GB for context and runtime (our arithmetic).
Does it fit?
| Llama 3.1 8B memory | 4.9 GB at Q4_K_M (Ollama: llama3.1 tags) |
|---|---|
| Arc B580 GPU memory | 12 GB of VRAM (product listing). |
| Left over | About 7.1 GB (our arithmetic) |
| Verdict | Fits 4 GB or more to spare (our estimate bands) |
Recommended quantization and context
Use the Q4_K_M 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 7.1 GB spare you have room to raise the context. Raise it in steps and re-check with ollama ps.
Run it
ollama run llama3.1:8bThen check it's on the GPU:
ollama psThe 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 B580
ASRock Challenger Intel Arc B580 12GB
$329.99 Newegg · checked Oct 27, 2026, about 12:35 PM CT
Sold by Newegg, seen on the product page
Check price at Newegg (opens in a new tab)FAQ
Can the Arc B580 run Llama 3.1 8B?
Yes: Llama 3.1 8B needs 4.9 GB (Q4_K_M, Ollama library) and the Arc B580 gives the GPU 12 GB, leaving about 7.1 GB. That leaves room to raise the context above the 4096-token default. The fit bands are our estimate.
How much VRAM does Llama 3.1 8B need?
4.9 GB for the Q4_K_M build in the Ollama library, plus roughly 1–4 GB for context and runtime (our estimate). See the 8 GB page for other models that fit.
What command runs Llama 3.1 8B?
ollama run llama3.1:8b. Then run "ollama ps" and check the PROCESSOR column reads 100% GPU.
How fast is Llama 3.1 8B on the Arc B580?
We don't list a speed because we have no sourced measurement for this pairing. Speed depends on memory bandwidth, quantization and context length.