Intel Arc A770 8GB - 8GB usable
The same GPU as the 16GB A770 with half the memory, which is the part that matters here. Take the 16GB version unless the gap is large.
Specifications
| Brand | Intel |
|---|---|
| Model | Arc A770 8GB |
| Usable VRAM | 8GB |
| Architecture | Xe-HPG |
| CUDA / Stream Processors | 4,096 |
| Memory Bandwidth | 512 GB/s |
| TDP | 225W |
| FP32 TFLOPS | 19.7 |
Current Offers
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Lowest tracked offers by retailer
UK · GBP · Weekly since Sep 2026 · Shipping may be extra
- eBay (no current offer)
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 |
|---|---|
| Oct 9, 2026 | £198.30 |
| Oct 2, 2026 | £198.30 |
| Sep 25, 2026 | £198.30 |
| Sep 18, 2026 | £198.30 |
| Sep 11, 2026 | £199.00 |
For AI / LLM Use
Limited VRAM restricts you to 7B quantized models. Expect a smaller selection of supported local-AI builds than on NVIDIA.
What Models Can It Run?
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~38 tokens/sec
Prefill: ~352 tokens/sec
Recommended Quantisations
- Q4_K_M for 7B models
- Q3_K for larger experiments
Pros & Cons
Pros
- Consumer card: easy to install, display output
Cons
- Only 8GB usable VRAM: limited to small 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 A770 8GB. Know a good review? Let us know.