Specifications Compared
| Spec | P100 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 250W | 230W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,584 | 3,072 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 448 GB/s |
Performance Analysis
Quadro RTX 5000 outperforms P100 in raw compute: its 11.2 TFLOPS FP16 and FP32 exceed P100's 9.3 TFLOPS by 20 percent. This advantage accelerates training and inference in deep learning models reliant on half-precision arithmetic, where tensor core efficiency in Turing architecture reduces epochs by noticeable margins.
P100 counters with superior memory bandwidth of 732 GB/s versus 448 GB/s: a 63 percent lead enables larger batch sizes in memory-bound workloads. HBM2 VRAM sustains data transfers critical for scientific simulations or large-model inference without stalling.
TDP differences are minor at 250W for P100 and 230W for Quadro RTX 5000. Real-world impact favors Quadro for compute-intensive AI tasks, but P100 thrives where bandwidth bottlenecks compute, such as in data-parallel training with high-resolution datasets.
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 RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the P100
P100 suits budget-conscious deployments: its pricing from $0.07 per hour versus $0.82 per hour for Quadro RTX 5000 yields up to 12 times savings. High 732 GB/s bandwidth supports memory-intensive tasks like large-batch scientific computing or legacy CUDA applications optimized for Pascal.
Choose P100 for scalable clusters via SXM2 form factor and NVLink: it handles high-throughput data movement efficiently where FP32 9.3 TFLOPS suffices.
When to Choose the Quadro RTX 5000
Quadro RTX 5000 fits modern professional workflows: 11.2 TFLOPS FP16 and FP32 outperform P100's 9.3 TFLOPS, speeding deep learning by 20 percent. Turing architecture ensures compatibility with recent CUDA versions and tensor cores for optimized inference.
Select it for visualization-heavy tasks: PCIe form factor and 2018 release provide better driver support for CAD or rendering alongside compute.
Use Cases
P100's 732 GB/s bandwidth supports large batch sizes in memory-bound LLM training. Lower $0.07 per hour pricing enables longer runs without budget strain.
Quadro RTX 5000's 11.2 TFLOPS FP16 outperforms P100's 9.3 TFLOPS for low-latency inference. Turing tensor cores optimize real-time serving.
Higher 11.2 TFLOPS compute in Quadro RTX 5000 accelerates fine-tuning iterations by 20 percent over P100. Modern architecture aids recent frameworks.
Quadro RTX 5000's Turing FP16 at 11.2 TFLOPS speeds diffusion model generation. It handles visualization outputs better than P100.
P100's 732 GB/s HBM2 bandwidth excels in simulation data flows. Cost at $0.25 per hour average suits extended computations.
Frequently Asked Questions
Which GPU has higher performance?▾
Quadro RTX 5000 leads with 11.2 TFLOPS FP16 and FP32 versus P100's 9.3 TFLOPS. This 20 percent edge benefits compute-heavy AI tasks.
What is the price difference?▾
P100 starts at $0.07 per hour, averaging $0.25 per hour across three offers. Quadro RTX 5000 is $0.82 per hour across two offers, making P100 far cheaper.
Which has better memory bandwidth?▾
P100 provides 732 GB/s with HBM2, 63 percent above Quadro RTX 5000's 448 GB/s GDDR6. It supports larger batches in bandwidth-limited workloads.
Are both suitable for NVLink?▾
Both support NVLink interconnect. P100 adds SXM2 form factor for multi-GPU scaling, while Quadro RTX 5000 uses PCIe.
Which is more power efficient?▾
Quadro RTX 5000 has lower 230W TDP than P100's 250W. Higher 11.2 TFLOPS per watt favors it for dense deployments.
What architectures do they use?▾
P100 runs Pascal from 2016; Quadro RTX 5000 uses Turing from 2018. Newer Turing offers tensor cores for modern ML.
Which is cheaper to rent, the P100 or the Quadro RTX 5000?▾
Cloud rental prices for both the P100 and Quadro RTX 5000 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 RTX 5000?▾
The P100 has 16 GB of HBM2 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find P100 and Quadro RTX 5000 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 RTX 5000?▾
The P100 uses the Pascal architecture (2016) while the Quadro RTX 5000 uses Turing (2018). The Quadro RTX 5000 delivers 1.2x the FP16 throughput and 1.6x the memory bandwidth of the P100.