Specifications Compared
| Spec | P100 | V100 |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 16 GB | 16-32 GB |
| CUDA Cores | 3,584 | 5,120 |
| Memory Type | HBM2 | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | SXM2, PCIe | SXM2, PCIe |
| Interconnect | NVLink | NVLink, PCIe 3.0 |
| FP16 Performance | 9.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | 7.8 TFLOPS |
| Memory Bandwidth | 732 GB/s | 900 GB/s |
Performance Analysis
The V100 outperforms the P100 significantly in compute capabilities suited to modern workloads. Its 125 TFLOPS FP16 rate exceeds the P100's 9.3 TFLOPS by over 13 times, enabling faster mixed-precision training in deep learning where FP16 reduces memory usage without substantial accuracy loss. FP32 performance improves from 9.3 TFLOPS to 15.7 TFLOPS, a 69 percent gain beneficial for single-precision scientific simulations and inference.
Memory bandwidth of 900 GB/s on the V100 surpasses the P100's 732 GB/s by 23 percent. This allows larger batch sizes in training, reducing overhead and improving throughput for memory-bound tasks like large language model processing. Both GPUs share 16 GB HBM2 VRAM, but the V100's higher bandwidth mitigates bottlenecks in data-heavy operations.
Power efficiency considerations favor the P100's 250W TDP over the V100's 300W in constrained environments. However, the V100's architectural advancements, including tensor cores implied by FP16 uplift, deliver superior real-world speedups in AI training and inference pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla P100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 0 vCPU 256GB RAM 960GB Storage | Netherlands | $0.60/GPU/hr $1.20/hr total (2×) | Available |
Tesla V100 16GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the Tesla P100
The P100 suits scenarios with strict power constraints. Its 250W TDP consumes 17 percent less power than the V100's 300W, making it preferable in clusters with limited cooling or electrical capacity. Legacy high-performance computing applications optimized for Pascal architecture avoid recompilation costs associated with Volta.
Budget-conscious deployments may favor the P100 when V100 averages $0.82 per hour. At a consistent $0.60 per hour across its single offer, the P100 provides reliable FP32 performance of 9.3 TFLOPS for workloads not leveraging FP16 acceleration.
When to Choose the Tesla V100 16GB
The V100 excels in machine learning tasks requiring high FP16 throughput. Its 125 TFLOPS FP16 capability accelerates training and fine-tuning of neural networks by over 13 times compared to the P100's 9.3 TFLOPS, ideal for large-scale AI development.
Abundant cloud availability enhances the V100's appeal. With 27 live offers starting at $0.10 per hour, it offers flexible scaling for inference and data-parallel workloads benefiting from 900 GB/s bandwidth and 15.7 TFLOPS FP32.
Use Cases
V100's 125 TFLOPS FP16 provides over 13 times the performance of P100's 9.3 TFLOPS, drastically reducing training times for large models. Higher 900 GB/s bandwidth handles massive datasets efficiently.
V100's 15.7 TFLOPS FP32 and 125 TFLOPS FP16 enable faster batched inference than P100's 9.3 TFLOPS limits. Availability across 27 offers supports scalable deployments.
Mixed-precision fine-tuning leverages V100's 125 TFLOPS FP16 for 13x speedup over P100. 900 GB/s bandwidth accommodates larger batches during adaptation.
Image generation benefits from V100's FP16 tensor performance at 125 TFLOPS versus P100's 9.3 TFLOPS. Enhanced bandwidth of 900 GB/s speeds diffusion steps.
FP32-heavy simulations see V100's 15.7 TFLOPS edge over P100's 9.3 TFLOPS, but P100's 250W TDP fits power-limited HPC setups. Choice depends on precision needs.
Frequently Asked Questions
Which GPU has higher FP16 performance: P100 or V100?▾
The V100 delivers 125 TFLOPS in FP16, exceeding the P100's 9.3 TFLOPS by more than 13 times. This gap accelerates mixed-precision deep learning tasks. Both share 16 GB HBM2 VRAM.
How do memory bandwidths compare between P100 and V100?▾
V100 offers 900 GB/s bandwidth, a 23 percent increase over P100's 732 GB/s. Higher bandwidth supports larger batch sizes in training. This aids memory-intensive workloads.
What are the current cloud prices for these GPUs?▾
P100 averages $0.60 per hour across one offer. V100 16GB starts from $0.10 per hour with an average of $0.82 per hour across 27 offers. Prices vary by provider.
Does V100 consume more power than P100?▾
V100 has a 300W TDP compared to P100's 250W. The 20 percent higher power correlates with superior 125 TFLOPS FP16 performance. Consider cooling in deployments.
Are both GPUs compatible with NVLink?▾
Both P100 and V100 support NVLink for multi-GPU communication. V100 additionally includes PCIe 3.0. Form factors match with SXM2 and PCIe options.
Which is better for AI training?▾
V100 outperforms with 125 TFLOPS FP16 and 15.7 TFLOPS FP32 versus P100's 9.3 TFLOPS each. Volta architecture enhances modern frameworks. Availability favors V100.
Which is cheaper to rent, the P100 or the V100?▾
Cloud rental prices for both the P100 and V100 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the P100 have compared to the V100?▾
The P100 has 16 GB of HBM2 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find P100 and V100 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the P100 and the V100?▾
The P100 uses the Pascal architecture (2016) while the V100 uses Volta (2017). The V100 delivers 13.4x the FP16 throughput and 1.2x the memory bandwidth of the P100.