Intel Arc Pro B60 - 24GB usable
Specifications
| Brand | Intel |
|---|---|
| Model | Arc Pro B60 |
| Usable VRAM | 24GB |
| Architecture | Xe2-HPG |
| CUDA / Stream Processors | 2,560 |
| Memory Bandwidth | 456 GB/s |
| TDP | 200W |
| FP32 TFLOPS | 12.28 |
Current Offers
New from £733
Prices last updated:
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Lowest tracked offers by retailer
UK · GBP · Weekly since Oct 2026 · Shipping may be extra
- eBay £733 at 90-day low
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.
Weekly offers table
| Date | eBay |
|---|---|
| Today, Nov 3, 2026 | £733.00 |
| Oct 30, 2026 | £733.00 |
| Oct 23, 2026 | £736.00 |
| Oct 9, 2026 | £741.00 |
For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Expect a smaller selection of supported local-AI builds than on NVIDIA.
What Models Can It Run?
- 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
- 14B Q6_K, 30B Q3_K (tight)
- 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: ~219 tokens/sec
Recommended Quantisations
- Q4_K_M recommended for 30B models
- Q6_K or Q8 for 14B and below
- Full precision for 7B
Pros & Cons
Pros
- 24GB usable VRAM: handles large models
- Consumer card: easy to install, display output
Cons
- Moderate memory bandwidth: not the fastest for inference
- Smaller local-AI software ecosystem than NVIDIA or AMD
Community Verdict
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