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Tesla P100 SXM2 16GB vs Tesla V100 SXM2 32GB

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

NVIDIA

Tesla P100 SXM2 16GB

3

Spec Wins

NVIDIA

Tesla V100 SXM2 32GB

9

Detailed Specifications

SpecTesla P100 SXM2 16GBTesla V100 SXM2 32GB
ArchitecturePascal (GP100) Volta (GV100)
Memory16GB HBM2 32GB HBM2
Memory Bandwidth732 GB/s 900 GB/s
FP16 TFLOPS21 125
FP8 TFLOPS0 0
BF16 TFLOPS0 0
INT8 TOPS0 62
TDP300W 300W
InterconnectNVLink 1.0 (160 GB/s) (160 GB/s) NVLink 2.0 (300 GB/s) (300 GB/s)
Perf Score3 9
EcosystemCUDA CUDA
Est. Price$1,000 $3,000

Tesla P100 SXM2 16GB — Best For

Legacy PipelinesBudget HPCClassic Deep Learning

Tesla V100 SXM2 32GB — Best For

Budget ML TrainingClassic Deep LearningLegacy Pipelines

Who Should Choose Each GPU?

Choose Tesla P100 SXM2 16GB if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Working with a tighter CapEx budget (lower list price)
  • Running Legacy Pipelines workloads
  • Running Budget HPC workloads
  • Running Classic Deep Learning workloads

Choose Tesla V100 SXM2 32GB if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Need more VRAM (32GB vs 16GB) for large model inference
  • Running Budget ML Training workloads
  • Running Classic Deep Learning workloads
  • Running Legacy Pipelines workloads

Verdict

The Tesla P100 SXM2 16GB and Tesla V100 SXM2 32GB target different priorities. The Tesla V100 SXM2 32GB's 32GB of HBM2 gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. 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 P100 SXM2 16GB vs Tesla V100 SXM2 32GB: Common Questions

Which is faster, Tesla P100 SXM2 16GB or Tesla V100 SXM2 32GB?+

In FP8 throughput, the Tesla V100 SXM2 32GB leads with 0 TFLOPS vs 0 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Tesla V100 SXM2 32GB has more VRAM (32GB).

Is Tesla P100 SXM2 16GB or Tesla V100 SXM2 32GB better for LLM training?+

For LLM training at scale, the Tesla V100 SXM2 32GB has higher raw throughput. However, the choice also depends on your software stack: Tesla P100 SXM2 16GB offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Tesla P100 SXM2 16GB and Tesla V100 SXM2 32GB?+

The Tesla P100 SXM2 16GB is estimated at $1,000 per unit and the Tesla V100 SXM2 32GB at $3,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Tesla P100 SXM2 16GB or Tesla V100 SXM2 32GB?+

The Tesla V100 SXM2 32GB has a lower TDP (300W vs 300W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Tesla P100 SXM2 16GB = 0.0 TFLOPS/W vs Tesla V100 SXM2 32GB = 0.0 TFLOPS/W.

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