RTX A6000 48GB: Used Price & Value for AI in 2026
The NVIDIA RTX A6000 is the card people reach for when 24GB stops being enough. With 48GB of GDDR6 on a single slot, it runs a 70B model at Q4 on one GPU, no NVLink, no multi-GPU headaches, with a blower cooler and display outputs. The catch is the price. At $3,500 used, it costs as much as a small used car.
So the real question isn't "is the A6000 good" (it is). It's whether 48GB on one card is worth roughly 7x the price of two Tesla P40s that give you the same 48GB total. Here's the breakdown with live prices.
RTX A6000 Used Price & $/GB
| GPU | VRAM | Used Price | $/GB | Notes |
|---|---|---|---|---|
| 2× Tesla P40 | 48GB total | $478 | $9.96/GB | Cheapest 48GB, but slow and needs cooling + two slots. |
| RTX 8000 | 48GB | $1,800 | $37.50/GB | Turing-era 48GB on one card. Older, but cheaper than the A6000. |
| Radeon Pro W7900 | 48GB | $3,550 | $73.96/GB | AMD's 48GB workstation card. Fast, but ROCm setup. |
| RTX A6000 | 48GB | $3,500 | $72.92/GB | Best single-card 48GB experience. Plug-and-play CUDA. |
| A40 | 48GB | $4,000 | $83.33/GB | Datacenter twin of the A6000. Passive cooling, no display out. |
On pure $/GB, two P40s crush everything. But the A6000 isn't competing on $/GB, it's competing on convenience and speed: one slot, one driver, native FP16/BF16 tensor cores, active cooling, and display output. For a workstation that also drives monitors and trains small models, that's worth real money to some buyers.
RTX A6000 - Full Specs
| GPU Architecture | Ampere (GA102) |
|---|---|
| CUDA Cores | 10,752 |
| VRAM | 48GB GDDR6 (ECC) |
| Memory Bandwidth | 768 GB/s |
| FP32 Performance | 38.7 TFLOPS |
| Tensor Cores | 336 (3rd gen, native FP16/BF16/TF32) |
| TDP | 300W |
| Cooling | Active (blower) |
| Display Output | 4× DisplayPort 1.4 |
| NVLink | Yes (pair for 96GB) |
| Compute Capability | 8.6 |
What 48GB on One Card Unlocks
The whole point of the A6000 is fitting models that need more than 24GB without splitting across GPUs:
- Llama 3 70B (Q4_K_M): ~40GB. Fits on a single A6000 with room for context. This is the headline use case.
- Qwen 2.5 72B (Q4): ~42GB. Fits with modest context.
- Mixtral 8x22B (Q3): large MoE that won't fit on 24GB but works here.
- 32B models (Q8): full near-lossless quality with plenty of headroom.
- Small-model fine-tuning: LoRA/QLoRA on 13B-class models, helped by native BF16 tensor cores.
When dual P40s make more sense
If you only need 70B inference and don't care about display output, training, or speed, two Tesla P40s at $478 give you the same 48GB for a fraction of the cost. The trade-offs: two PCIe slots, a cooling solution per card, no native FP16, and slower tokens. See the 70B under $500 guide built around exactly this setup.
Verdict
Worth it if you value one-card simplicity. Otherwise, dual P40s.
The RTX A6000 at $3,500 is the cleanest way to run 70B models on a single GPU: plug it in, install CUDA, done. You also get a card that drives monitors and handles small-model training. For a professional workstation, that's a reasonable buy.
But if your goal is purely 70B inference on a budget, the value math is brutal: two P40s deliver the same 48GB for $478. Pay the A6000 premium for convenience, speed, and display output, not for raw VRAM per dollar.
Check Live A6000 Prices
GPUDojo tracks the RTX A6000 and every other GPU by $/GB VRAM with live used prices.
View A6000 ListingsComparing options? See the cheapest 24GB GPUs and our 70B under $500 guide.