Specifications Compared
| Spec | P100 | QUADRO-P4000 |
|---|---|---|
| TDP | 250W | 105W |
| VRAM | 16 GB | 8 GB |
| CUDA Cores | 3,584 | 1,792 |
| Memory Type | HBM2 | GDDR5 |
| Architecture | Pascal | Pascal |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 5.3 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 5.3 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 243 GB/s |
Performance Analysis
The P100's 9.3 TFLOPS FP32 performance surpasses the P4000's 5.3 TFLOPS by 75 percent, accelerating training and inference for deep learning models. Equivalent FP16 rates on both GPUs support mixed precision training, but the P100 processes more operations per second for faster convergence. In real-world terms, this FP32 advantage shortens training epochs for models like ResNet by up to 75 percent on the P100. Memory bandwidth of 732 GB/s on the P100 versus 243 GB/s on the P4000 allows larger batch sizes without bottlenecks, crucial for stable gradient updates in training. The P100's 16 GB HBM2 handles datasets exceeding 8 GB GDDR5 on the P4000, preventing out-of-memory errors in inference for large language models. NVLink interconnect on the P100 enables multi-GPU scaling unavailable on the P4000, boosting throughput for distributed training. Higher 250 W TDP on the P100 reflects its compute focus, while the P4000's 105 W suits lighter loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 |
Quadro P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
When to Choose the P100
The P100 excels in memory-intensive workloads such as training large neural networks, where its 16 GB HBM2 and 732 GB/s bandwidth support batch sizes twice those feasible on the P4000. NVLink connectivity facilitates multi-GPU setups for scaled performance. At average $0.25 per hour cloud pricing, it delivers superior value for high-throughput compute tasks.
When to Choose the Quadro P4000
The Quadro P4000 suits power-constrained environments with its 105 W TDP, half the P100's 250 W, ideal for edge deployments or small-scale inference. Its PCIe form factor simplifies single-GPU setups without NVLink needs. Despite higher $0.51 per hour pricing, it fits visualization-aided workflows where 5.3 TFLOPS suffices.
Use Cases
The P100's 16 GB HBM2 and 9.3 TFLOPS FP16 handle large language model datasets without swapping, unlike the P4000's 8 GB limit. Higher 732 GB/s bandwidth supports bigger batches for efficient training.
P100's 9.3 TFLOPS FP16 delivers 75 percent faster token generation than P4000's 5.3 TFLOPS. 16 GB VRAM accommodates full model loading for low-latency serving.
P100's superior 732 GB/s bandwidth enables larger batch sizes during fine-tuning, reducing epochs compared to P4000's 243 GB/s. NVLink aids multi-GPU fine-tuning scalability.
16 GB VRAM on P100 supports high-resolution image generation without tiling, leveraging 9.3 TFLOPS for quicker iterations than P4000's 8 GB and 5.3 TFLOPS.
P100 excels in memory-heavy simulations with 732 GB/s bandwidth, but P4000's 105 W TDP fits low-power HPC nodes where 5.3 TFLOPS meets moderate demands.
Frequently Asked Questions
Which GPU has more VRAM, P100 or Quadro P4000?▾
The P100 provides 16 GB HBM2 VRAM, double the Quadro P4000's 8 GB GDDR5. This enables the P100 to load larger models without memory errors. Bandwidth also favors P100 at 732 GB/s over 243 GB/s.
How do FP32 performance levels compare between P100 and P4000?▾
P100 achieves 9.3 TFLOPS FP32, 75 percent higher than P4000's 5.3 TFLOPS. This translates to faster matrix multiplications in training. FP16 matches this ratio at identical rates per GPU.
What is the cloud pricing difference for these GPUs?▾
P100 rents from $0.07 per hour averaging $0.25 per hour across 3 offers, cheaper than P4000's $0.51 per hour across 6 offers. P100 provides better specs per dollar. Pricing reflects live market data.
Does the P100 support multi-GPU interconnects?▾
P100 includes NVLink for high-speed multi-GPU communication, absent on P4000. This boosts distributed training scalability. Both support PCIe form factors.
Which has lower power consumption?▾
Quadro P4000 draws 105 W TDP, half the P100's 250 W. P4000 suits power-limited setups. P100's higher TDP enables its 9.3 TFLOPS performance.
Are both GPUs from the same architecture generation?▾
Both use Pascal architecture, P100 from 2016 and P4000 from 2017. P100 targets compute with HBM2, while P4000 uses GDDR5 for pro graphics. Performance gaps persist despite shared generation.
Which is cheaper to rent, the P100 or the Quadro P4000?▾
Cloud rental prices for both the P100 and Quadro P4000 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 Quadro P4000?▾
The P100 has 16 GB of HBM2 memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find P100 and Quadro P4000 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 Quadro P4000?▾
The P100 uses the Pascal architecture (2016) while the Quadro P4000 uses Pascal (2017). The P100 delivers 1.8x the FP16 throughput and 3.0x the memory bandwidth of the Quadro P4000.