RTX PRO 6000 Blackwell vs A10
NVIDIA RTX PRO 6000 Blackwell (Blackwell, 96 GB) against NVIDIA A10 (Ampere, 24 GB): memory, compute, power and rental price, compared for LLM inference and training.
Pick two GPUs to compare
Side-by-Side Specifications
| Spec | RTX PRO 6000 Blackwell | A10 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Memory | 96 GB GDDR7 | 24 GB GDDR6 |
| Memory bandwidth | 1,792 GB/s | 600 GB/s |
| FP16 tensor compute | 1,000 TFLOPS | 250 TFLOPS |
| INT8 tensor compute | 2,000 TOPS | 500 TOPS |
| Interconnect | PCIe 5.0 · 128 GB/s | PCIe 4.0 · 64 GB/s |
| TDP | 600 W | 150 W |
| Est. on-demand price | ~$5.00/h | ~$1.00/h |
| FP16 TFLOPS per $/h | 200 | 250 |
Highlighted values indicate the stronger spec. Hourly rates are indicative on-demand estimates.
Verdict
Raw performance: The RTX PRO 6000 Blackwell leads on FP16 tensor compute (4.0x advantage), which translates directly into higher token throughput for inference and shorter training steps.
Memory: With 96 GB per card, the RTX PRO 6000 Blackwell fits larger models on fewer GPUs — fewer cards means less inter-GPU communication and simpler deployments.
Value: At current on-demand rates, the A10 delivers more compute per dollar (250 vs 200 FP16 TFLOPS per $/h). If your model fits in its VRAM budget, it is usually the more economical choice.
GPUs Needed for Popular LLMs
Cards required to serve each model at 8-bit quantization (with 20% overhead for activations and KV cache).
| Model | VRAM (8-bit) | RTX PRO 6000 Blackwell | A10 |
|---|---|---|---|
| GPT-5.6 Sol | 2682 GB | 28x | 112x |
| DeepSeek V4 Pro (671B) | 750 GB | 8x | 32x |
| Muse Spark 1.1 | 335 GB | 4x | 14x |
| Claude 5 Sonnet (175B) | 196 GB | 3x | 9x |
| Nova Premier (80B) | 89 GB | 1x | 4x |
| Nova Core (34B) | 38 GB | 1x | 2x |
| Nova Lite (12B) | 13 GB | 1x | 1x |
| Phi 3.5 (3.8B) | 4 GB | 1x | 1x |
Frequently Asked Questions
Which is better for LLM inference: RTX PRO 6000 Blackwell or A10?
The RTX PRO 6000 Blackwell delivers more raw FP16 compute (1,000 TFLOPS) and the RTX PRO 6000 Blackwell offers the most memory per card (96 GB). For cost-efficiency, the A10 currently gives more FP16 TFLOPS per dollar of on-demand rental (250 vs 200 TFLOPS per $/h).
How much more memory does the RTX PRO 6000 Blackwell have?
The RTX PRO 6000 Blackwell has 96 GB of GDDR7 versus 24 GB of GDDR6 for the A10 — a ratio of 4.00x in favor of the RTX PRO 6000 Blackwell. More VRAM per card means fewer GPUs to fit a given model.
Is the RTX PRO 6000 Blackwell or the A10 cheaper to rent?
Estimated on-demand rates are ~$5.00/h for the RTX PRO 6000 Blackwell and ~$1.00/h for the A10. Raw hourly price is only part of the story: normalize by throughput (TFLOPS per $/h) and by how many cards you need for your model's VRAM.
How do the RTX PRO 6000 Blackwell and A10 compare on power?
The RTX PRO 6000 Blackwell has a TDP of 600W versus 150W for the A10. FP16 compute per watt: 1.7 vs 1.7 TFLOPS/W.
Deploy on a GPU cloud
Rent the RTX PRO 6000 Blackwell or A10 by the hour instead of buying hardware.
