Volta
NVIDIA V100 32GB
wins
2
The V100 was NVIDIA's flagship AI GPU before the A100.
Ampere
NVIDIA A10
wins
2
The NVIDIA A10 is a versatile Ampere GPU with 24GB GDDR6 and 150W TDP.
Performance comparison
Visual bars — winner highlighted
NVIDIA V100 32GB
Metric
NVIDIA A10
FP16 TFLOPS
Bandwidth
VRAM
TDP (lower=better)
TFLOPS/watt
GB/s per watt
Full specification table
| Spec | NVIDIA V100 32GB | NVIDIA A10 |
|---|---|---|
| Architecture | Volta | Ampere |
| VRAM | 32 GB HBM2 | 24 GB GDDR6 |
| VRAM type | HBM2 | GDDR6 |
| Memory bandwidth | 900 GB/s | 600 GB/s |
| FP16 TFLOPS | 125 TFLOPS | 125 TFLOPS |
| TDP | 300 W | 150 W |
| TFLOPS/watt | 0.42 T/W | 0.83 T/W |
| GB/s per watt | 3.00 GB/s/W | 4.00 GB/s/W |
| NVLink | Yes | No |
| Release year | 2018 | 2021 |
Live cloud pricing
On-demand $/hr across providers — updated in real time
Power efficiency analysis
TFLOPS/watt and GB/s/watt — critical for data center TCO
NVIDIA V100 32GB
NVIDIA A10
TFLOPS/watt measures compute efficiency — how much AI throughput you get per watt of power consumed. For data centers with PUE of 1.2–1.5, a 10% improvement in TFLOPS/watt translates directly to lower electricity costs and cooling requirements. GB/s/watt measures memory bandwidth efficiency, which is the binding constraint for memory-bound LLM inference workloads.
When to choose each GPU
Choose NVIDIA V100 32GB for:
- Legacy ML training
- Budget HPC
- Mature framework support
Choose NVIDIA A10 for:
- Inference
- Graphics rendering
- Virtual workstations
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