AMD Radeon Pro W6800 - 32GB usable
Specifications
| Brand | AMD |
|---|---|
| Model | Radeon Pro W6800 |
| Usable VRAM | 32GB |
| Architecture | RDNA2 |
| CUDA / Stream Processors | 3,840 |
| Memory Bandwidth | 512 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 17.8 |
Current Offers
No fresh used offer today · recently £670 on eBay
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Lowest tracked offers by retailer
UK · GBP · Weekly since Aug 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 |
|---|---|
| Aug 28, 2026 | £669.70 |
For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Verify ROCm support for the exact framework and operating system you plan to use.
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: ~38 tokens/sec
Prefill: ~318 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
- RDNA2 architecture: supported by current ROCm stacks
- Workstation card with display outputs and active cooling
Cons
- Moderate memory bandwidth: not the fastest for inference
- ROCm and CUDA-first framework compatibility should be checked before purchase
Community Verdict
No community reviews yet for the Radeon Pro W6800. Know a good review? Let us know.