NVIDIA Tesla P40 — 24GB
Cheapest 24GB you can buy. No display output, needs aftermarket cooling, but unbeatable $/GB.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Tesla P40 |
| VRAM | 24GB |
| Architecture | Pascal |
| CUDA / Stream Processors | 3,840 |
| Memory Bandwidth | 347 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 12 |
Current Prices
Prices last updated:
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Price History
Best price up 10% since 2026-03-13
AmazonNeweggeBay
For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Slower generation — usable but not snappy. Older architecture may have limited software support (check CUDA compatibility). Datacenter card — 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: ~26 tokens/sec
Prefill: ~214 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 VRAM — handles large models
Cons
- Moderate memory bandwidth — not the fastest for inference
- Older architecture — check CUDA/ROCm compatibility
- No display output — headless only
- May need aftermarket cooling solution
Community Verdict
- r/LocalLLaMA
Budget legend. Needs a blower cooler mod and no display output, but 24GB for under $200 is hard to beat.
Source