Specifications Compared
| Spec | QUADRO-P5000 | V100 |
|---|---|---|
| TDP | 180W | 300W |
| VRAM | 16 GB | 16-32 GB |
| CUDA Cores | 2,560 | 5,120 |
| Memory Type | GDDR5X | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| FP16 Performance | 8.9 TFLOPS | 125 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 288 GB/s | 900 GB/s |
Performance Analysis
The V100 demonstrates superior compute capabilities compared to the P5000, particularly in FP16 performance at 125 TFLOPS versus 8.9 TFLOPS: this delta accelerates mixed-precision training in deep learning by up to 14 times, enabling faster convergence on large models. FP32 performance also favors the V100 at 15.7 TFLOPS over the P5000's 8.9 TFLOPS, benefiting single-precision inference and simulations.
Memory bandwidth presents a stark difference: the V100's 900 GB/s HBM2 allows larger batch sizes in training, reducing overhead and improving throughput on memory-bound tasks like transformer models, while the P5000's 288 GB/s GDDR5X limits scalability. The V100's NVLink interconnect further enhances multi-GPU scaling, absent in the PCIe-only P5000.
Power consumption reflects these gains: the V100 draws 300W TDP versus the P5000's 180W, trading efficiency for raw speed in datacenter deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
Tesla V100 32GB
| 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 Quadro P5000
The Quadro P5000 suits legacy workstation applications requiring PCIe compatibility and lower power draw of 180W. Professional visualization tasks, such as CAD rendering with 16 GB GDDR5X VRAM and 8.9 TFLOPS FP32, perform adequately without needing advanced interconnects. Its consistent cloud pricing at an average of $0.78 per hour across six offers provides predictability for small-scale or budget-conscious users avoiding Volta-era upgrades.
When to Choose the Tesla V100 32GB
The NVIDIA Tesla V100 32GB excels in machine learning workloads leveraging its 125 TFLOPS FP16 and 900 GB/s bandwidth. Training and inference on large models benefit from 32 GB HBM2 and NVLink support, enabling efficient multi-GPU setups. Despite a higher average price of $1.01 per hour, low-end offers at $0.29 per hour make it viable for high-throughput compute in datacenters.
Use Cases
The V100's 125 TFLOPS FP16 and 900 GB/s bandwidth handle large batch sizes and mixed-precision training far better than the P5000's 8.9 TFLOPS and 288 GB/s.
V100 supports high-throughput inference with 32 GB HBM2 and NVLink, outperforming P5000's PCIe-limited 16 GB GDDR5X setup.
Fine-tuning benefits from V100's 15.7 TFLOPS FP32 and superior memory subsystem, enabling efficient handling of model checkpoints versus P5000's constraints.
Stable Diffusion generation scales with V100's FP16 tensor cores at 125 TFLOPS, generating images faster than on P5000's basic 8.9 TFLOPS FP16.
V100's 900 GB/s bandwidth and NVLink accelerate parallel simulations, surpassing P5000's 288 GB/s for data-intensive scientific workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The NVIDIA Tesla V100 32GB offers 32 GB of HBM2 VRAM, doubling the Quadro P5000's 16 GB GDDR5X. This enables larger models on V100. Bandwidth also favors V100 at 900 GB/s over 288 GB/s.
What is the FP32 performance difference?▾
V100 delivers 15.7 TFLOPS in FP32, compared to P5000's 8.9 TFLOPS, a 76% improvement. This impacts general compute tasks. FP16 sees even greater disparity at 125 TFLOPS versus 8.9 TFLOPS.
How do cloud prices compare?▾
Quadro P5000 averages $0.78 per hour across six offers. V100 32GB starts at $0.29 per hour but averages $1.01 across 46 offers. Pricing varies by provider and demand.
Which has lower power consumption?▾
P5000 consumes 180W TDP, lower than V100's 300W. This suits power-sensitive workstations. V100 prioritizes performance over efficiency.
Is V100 better for multi-GPU setups?▾
Yes, V100 supports NVLink and PCIe 3.0 interconnects for superior scaling. P5000 relies solely on PCIe. This enhances V100 for distributed training.
What architectures do they use?▾
P5000 uses Pascal from 2016, while V100 employs Volta from 2017. Volta introduces tensor cores boosting FP16 to 125 TFLOPS. Pascal lacks these optimizations.
Which is cheaper to rent, the Quadro P5000 or the V100?▾
Cloud rental prices for both the Quadro P5000 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 Quadro P5000 have compared to the V100?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find Quadro P5000 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 Quadro P5000 and the V100?▾
The Quadro P5000 uses the Pascal architecture (2016) while the V100 uses Volta (2017). The V100 delivers 14.0x the FP16 throughput and 3.1x the memory bandwidth of the Quadro P5000.