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Tesla V100 SXM2 32GB vs Ampere A100 SXM4

Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.

NVIDIA

Tesla V100 SXM2 32GB

9

Spec Wins

NVIDIA

Ampere A100 SXM4

61

Detailed Specifications

SpecTesla V100 SXM2 32GBAmpere A100 SXM4
ArchitectureVolta (GV100) Ampere
Memory32GB HBM2 80GB HBM2e
Memory Bandwidth900 GB/s 2,039 GB/s
FP16 TFLOPS125 312
FP8 TFLOPS0 312
BF16 TFLOPS0 624
INT8 TOPS62 1,248
TDP300W 400W
InterconnectNVLink 2.0 (300 GB/s) (300 GB/s) NVLink 3.0 (600 GB/s) (600 GB/s)
Perf Score9 61
EcosystemCUDA CUDA
Est. Price$3,000 $12,000

Tesla V100 SXM2 32GB — Best For

Budget ML TrainingClassic Deep LearningLegacy Pipelines

Ampere A100 SXM4 — Best For

TrainingFine-tuning

Who Should Choose Each GPU?

Choose Tesla V100 SXM2 32GB if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Have power-constrained data centers (300W vs 400W TDP)
  • Working with a tighter CapEx budget (lower list price)
  • Running Budget ML Training workloads
  • Running Classic Deep Learning workloads
  • Running Legacy Pipelines workloads

Choose Ampere A100 SXM4 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Need more VRAM (80GB vs 32GB) for large model inference
  • Prioritize raw FP8 throughput (312 vs 0 TFLOPS)
  • Running Training workloads
  • Running Fine-tuning workloads

Verdict

The Tesla V100 SXM2 32GB and Ampere A100 SXM4 target different priorities. The Ampere A100 SXM4's 80GB of HBM2e gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Ampere A100 SXM4's 312 FP8 TFLOPS outpaces the Tesla V100 SXM2 32GB's 0 TFLOPS. Both GPUs use CUDA, so ecosystem switching cost is not a factor. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

Tesla V100 SXM2 32GB vs Ampere A100 SXM4: Common Questions

Which is faster, Tesla V100 SXM2 32GB or Ampere A100 SXM4?+

In FP8 throughput, the Ampere A100 SXM4 leads with 312 TFLOPS vs 0 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Ampere A100 SXM4 has more VRAM (80GB).

Is Tesla V100 SXM2 32GB or Ampere A100 SXM4 better for LLM training?+

For LLM training at scale, the Ampere A100 SXM4 has higher raw throughput. However, the choice also depends on your software stack: Tesla V100 SXM2 32GB offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Tesla V100 SXM2 32GB and Ampere A100 SXM4?+

The Tesla V100 SXM2 32GB is estimated at $3,000 per unit and the Ampere A100 SXM4 at $12,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Tesla V100 SXM2 32GB or Ampere A100 SXM4?+

The Tesla V100 SXM2 32GB has a lower TDP (300W vs 400W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Tesla V100 SXM2 32GB = 0.0 TFLOPS/W vs Ampere A100 SXM4 = 0.8 TFLOPS/W.

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