NVIDIA A6000 - 48GB usable
A premium workstation route to 48GB on one GPU, best for buyers who value capacity and simplicity over raw value.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | A6000 |
| Usable VRAM | 48GB |
| Architecture | Ampere |
| CUDA / Stream Processors | 10,752 |
| Memory Bandwidth | 768 GB/s |
| TDP | 300W |
| FP32 TFLOPS | 38.7 |
Current Offers
Used from €4700
Prices last updated:
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Price History
- eBay€4700mid-range
For AI / LLM Use
Best for running 70B+ models on a single GPU.
What Models Can It Run?
- 70B Q4_K_M, 30B full precision
- 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: ~58 tokens/sec
Prefill: ~691 tokens/sec
Recommended Quantisations
- Q6_K or Q8 for best quality
- Q4_K_M for larger models
- Full precision for 30B and below
Pros & Cons
Pros
- 48GB usable VRAM: handles large models
- Ampere architecture: broad CUDA software support
- Workstation card with display outputs and active cooling
- 48GB on one GPU avoids multi-GPU model sharding
- Workstation card with display outputs and ECC-capable memory
Cons
- Moderate memory bandwidth: not the fastest for inference
- 300W TDP: high power draw
- High purchase price relative to used multi-GPU options
- Slower than newer flagship cards when a model already fits in 24GB
Community Verdict
- r/LocalLLaMA
Only realistic single-GPU option for 70B Q4 models. 48GB VRAM in a workstation form factor.
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