Intel Arc B580 - 12GB usable
Specifications
| Brand | Intel |
|---|---|
| Model | Arc B580 |
| Usable VRAM | 12GB |
| Architecture | Xe2-HPG |
| CUDA / Stream Processors | 2,560 |
| Memory Bandwidth | 456 GB/s |
| TDP | 190W |
| FP32 TFLOPS | 13.67 |
Current Offers
Used from $300New from $330
Prices last updated:
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Lowest tracked offers by retailer
US · USD · Weekly since Sep 2026 · Shipping may be extra
About these prices
Each line is the lowest offer we tracked from that retailer at weekly snapshots, ending at today's offer. The condition can vary between snapshots (new, used, or unrecorded for older ones). eBay prices exclude shipping. Tax is excluded. Amazon shows a current price only.
Weekly offers table
| Date | eBay | Amazon | Newegg |
|---|---|---|---|
| Today, Nov 3, 2026 | $299.99 | $851.16 | $329.99 |
| Oct 30, 2026 | $388.95 | – | $329.99 |
| Oct 23, 2026 | $416.11 | – | – |
| Oct 9, 2026 | $350.00 | – | $355.15 |
| Oct 2, 2026 | $350.00 | – | $239.99 |
| Sep 25, 2026 | $300.00 | – | $249.99 |
| Sep 18, 2026 | $359.99 | – | $239.99 |
For AI / LLM Use
Entry-level for local AI. Handles 7B-8B models well. Expect a smaller selection of supported local-AI builds than on NVIDIA.
What Models Can It Run?
- 14B Q4_K_M, 7B full precision
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~34 tokens/sec
Prefill: ~244 tokens/sec
Recommended Quantisations
- Q4_K_M for 14B (tight fit)
- Q6_K or Q8 for 7B models
Pros & Cons
Pros
- Consumer card: easy to install, display output
Cons
- 12GB usable VRAM: may need quantization for 30B+ models
- Moderate memory bandwidth: not the fastest for inference
- Smaller local-AI software ecosystem than NVIDIA or AMD
Community Verdict
No community reviews yet for the Arc B580. Know a good review? Let us know.