NVIDIA A10 - 24GB usable
24GB single-slot at 150W, the easy way to add capacity to a dense server. Only 600 GB/s, so generation trails the A30 and 3090.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | A10 |
| Usable VRAM | 24GB |
| Architecture | Ampere |
| CUDA / Stream Processors | 9,216 |
| Memory Bandwidth | 600 GB/s |
| TDP | 150W |
| FP32 TFLOPS | 31.2 |
Current Offers
Prices last updated:
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Lowest tracked offers by retailer
UK · GBP · Weekly since Aug 2026 · Shipping may be extra
- eBay £2,200 at 90-day high
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 | £2,199.70 |
| Oct 30, 2026 | £2,199.70 |
| Oct 23, 2026 | £2,199.70 |
| Oct 9, 2026 | £2,199.70 |
| Oct 2, 2026 | £2,199.70 |
| Sep 25, 2026 | £2,199.70 |
| Sep 18, 2026 | £2,199.70 |
| Sep 11, 2026 | £2,199.70 |
| Sep 4, 2026 | £2,199.70 |
| Sep 1, 2026 | £2,199.70 |
| Aug 28, 2026 | £2,199.70 |
| Aug 21, 2026 | £1,890.79 |
For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Datacenter card with no display output, may need aftermarket cooling.
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: ~45 tokens/sec
Prefill: ~557 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
- Only 150W TDP: power efficient
- Ampere architecture: broad CUDA software support
Cons
- Moderate memory bandwidth: not the fastest for inference
- No display output: headless only
- May need aftermarket cooling solution
Community Verdict
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