Can I Run Llama 3.2 Family on Intel Arc B580?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, comfortably — Llama 3.2 11B Vision Instruct 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 11B Vision Instruct 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 11B Vision Instruct on 16 GB of system RAM, CPU only: runs.
Llama 3.2 Family Sizes That Fit the Intel Arc B580 (at 8K context)
| Llama 3.2 11B Vision Instruct | Q4_K_M · 8.5 GB at 8K context · ~34 tok/s (est.) |
| Llama 3.2 3B Instruct | Q4_K_M · 3.7 GB at 8K context · ~78 tok/s (est.) |
| Llama 3.2 1B Instruct | Q4_K_M · 1.8 GB at 8K context · ~138 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
Will Llama 3.2 Family run on the Intel Arc B580?
Yes, comfortably — Llama 3.2 11B Vision Instruct 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.
Which Llama 3.2 Family variant fits best on the Intel Arc B580?
Llama 3.2 11B Vision Instruct 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 Family size on the Intel Arc B580
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 90B Vision Instruct | 57.8 GB | Does not fit | — |
| Llama 3.2 11B Vision Instruct | 8.5 GB | Runs | ~34 tok/s |
| Llama 3.2 3B Instruct | 3.7 GB | Runs | ~78 tok/s |
| Llama 3.2 1B Instruct | 1.8 GB | Runs | ~138 tok/s |
Llama 3.2 Family on Other GPUs
- Llama 3.2 Family on NVIDIA GeForce RTX 5070
- Llama 3.2 Family on NVIDIA GeForce RTX 4070 Ti
- Llama 3.2 Family on NVIDIA GeForce RTX 4070 Super
- Llama 3.2 Family on NVIDIA GeForce RTX 4070
- Llama 3.2 Family on NVIDIA GeForce RTX 3060 (12GB)
Popular Models on the Intel Arc B580
VRAM Tier
Troubleshooting
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