Q: What quantization of Gemma 4 31B should I use on a Intel Arc B580?

For 12 GB VRAM on the Intel Arc B580, the Q8_0 variant is the best fit. Estimated ~4 tokens/sec on the Q8_0 quantization.

Q: How fast does Gemma 4 31B run on Intel Arc B580?

Roughly 4 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if Intel Arc B580 is not enough for Gemma 4 31B?

Consider upgrading to Apple M4 Pro (48 GB VRAM) which fits the recommended 40 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run Gemma 4 31B on a Intel Arc B580?

Accepted Answer

Sort of — Intel Arc B580 can run Gemma 4 31B (Q8_0) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (12 GB < 35 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of Gemma 4 31B should I use on a Intel Arc B580?

Accepted Answer

For 12 GB VRAM on the Intel Arc B580, the Q8_0 variant is the best fit. Estimated ~4 tokens/sec on the Q8_0 quantization.

Question 3

How fast does Gemma 4 31B run on Intel Arc B580?

Accepted Answer

Roughly 4 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Intel Arc B580 is not enough for Gemma 4 31B?

Accepted Answer

Consider upgrading to Apple M4 Pro (48 GB VRAM) which fits the recommended 40 GB target. Or pick a smaller quantization to stay on your current card.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q3_K_M	14.5 GB	16.5 GB	20 GB	8K / 256K	Hybrid CPU+GPU	~7
Q4_K_M	18.4 GB	20.5 GB	24 GB	8K / 256K	Hybrid CPU+GPU	~7
Q8_0Best fit	33.2 GB	35 GB	40 GB	8K / 256K	Hybrid CPU+GPU	~4

Can I Run Gemma 4 31B on Intel Arc B580?

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Every Gemma 4 31B quantization on Intel Arc B580

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