Can I Run Llama 3.2 Vision on Intel Arc B580?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — Llama 3.2 Vision 11B at Q4_K_M needs 8.5 GB at 8K context (6.4 GB weights + 2.1 GB KV cache/overhead), leaving ~3.5 GB of the Intel Arc B580's 12 GB, at ~34 tok/s (est.), with room for up to 16K context.
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Intel Arc B580 Specs
| VRAM | 12 GB |
| Memory Bandwidth | 456 GB/s |
Llama 3.2 Vision 11B on the Intel Arc B580: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 23.3 GB | ✗ No | — | — |
| Q8_0 | 13.4 GB | ✗ No | — | — |
| Q6_K | 10.8 GB | ✓ Yes | 8K | — |
| Q5_K_M | 9.7 GB | ✓ Yes | 16K | — |
| Q4_K_M | 8.5 GB | ✓ Yes | 16K | — |
| Q3_K_M | 6.7 GB | ✓ Yes | 32K | — |
| Q2_K | 5.6 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Intel Arc B580: 8K 8.5 GB · 32K 12.6 GB ✗ · 125K 28.2 GB ✗. Past 32K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Llama 3.2 Vision 11B on 8 GB of system RAM, CPU only: runs.
Llama 3.2 Vision Sizes That Fit the Intel Arc B580 (at 8K context)
| Llama 3.2 Vision 11B | Q4_K_M · 8.5 GB at 8K context · ~34 tok/s (est.) |
At 2 hrs/day, buying (~$249) beats renting at $0.34/hr after about 12 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Llama 3.2 Vision on the Intel Arc B580?
Yes, comfortably — Llama 3.2 Vision 11B at Q4_K_M needs 8.5 GB at 8K context (6.4 GB weights + 2.1 GB KV cache/overhead), leaving ~3.5 GB of the Intel Arc B580's 12 GB, at ~34 tok/s (est.), with room for up to 16K context.
What's the best Llama 3.2 Vision size for the Intel Arc B580?
Llama 3.2 Vision 11B at Q4_K_M quantization needs 8.5 GB at 8K context (6.4 GB weights + 2.1 GB KV cache/overhead), estimated ~34 tokens/sec, up to 16K context.
Every Llama 3.2 Vision size on the Intel Arc B580
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 Vision 90B | 57.8 GB | Does not fit | — |
| Llama 3.2 Vision 11B | 8.5 GB | Runs | ~34 tok/s |
Llama 3.2 Vision on Other GPUs
- Llama 3.2 Vision on NVIDIA GeForce RTX 5070
- Llama 3.2 Vision on NVIDIA GeForce RTX 4070 Ti
- Llama 3.2 Vision on NVIDIA GeForce RTX 4070 Super
- Llama 3.2 Vision on NVIDIA GeForce RTX 4070
- Llama 3.2 Vision on NVIDIA GeForce RTX 3060 (12GB)
Popular Models on the Intel Arc B580
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 3.2 Vision Model Page | Intel Arc B580 GPU Page | VRAM calculator | Check Your Hardware