Intel Arc Pro B65 - 32GB usable

Specifications

BrandIntel
ModelArc Pro B65
Usable VRAM32GB
ArchitectureXe2-HPG
CUDA / Stream Processors2,560
Memory Bandwidth608 GB/s
TDP200W
FP32 TFLOPS12.28

Current Offers

New from £1,291

Prices last updated:

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Lowest tracked offers by retailer

UK · GBP · Weekly since Sep 2026 · Shipping may be extra

£900£1,000£1,100£1,200£1,300£1,400Sep 18Sep 29Oct 11Oct 22Nov 3eBay £1,291
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
Lowest tracked offer per retailer · UK · GBP
DateeBay
Today, Nov 3, 2026 £1,291.45
Oct 30, 2026 £1,291.45
Oct 23, 2026 £999.99
Oct 9, 2026 £1,024.99
Oct 2, 2026 £1,024.99
Sep 25, 2026 £1,074.99
Sep 18, 2026 £1,338.00

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 Q6_K, 70B Q2_K
  • 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: ~46 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

  • 32GB 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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