Specifications Compared
| Spec | QUADRO-P6000 | V100 |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 24 GB | 16-32 GB |
| CUDA Cores | 3,840 | 5,120 |
| Memory Type | GDDR5X | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| FP16 Performance | 12.6 TFLOPS | 125 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 432 GB/s | 900 GB/s |
Performance Analysis
FP16 performance defines the core disparity: the V100 delivers 125 TFLOPS versus the P6000's 12.6 TFLOPS. This enables the V100 to speed up mixed-precision neural network training by approximately 10x, vital for large language models where half-precision reduces memory use while maintaining accuracy.
FP32 rates are nearer, 15.7 TFLOPS on V100 against 12.6 TFLOPS on P6000, so single-precision inference or HPC simulations show modest V100 edges of 24 percent. Memory bandwidth profoundly affects real-world throughput: V100's 900 GB/s supports batch sizes twice as large as the P6000's 432 GB/s limit, preventing stalls in data-heavy inference or training.
Higher V100 TDP at 300W reflects its compute focus, while NVLink interconnect scales multi-GPU setups beyond P6000's PCIe constraints.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | 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 P6000
The Quadro P6000 suits professional visualization and CAD workflows. Its Pascal drivers receive NVIDIA certification for software like Autodesk Maya or SolidWorks, ensuring stability absent in Tesla cards. 24 GB GDDR5X VRAM handles complex scenes, and 250W TDP fits power-limited cloud instances better than 300W alternatives.
When to Choose the Tesla V100 32GB
The V100 outperforms in machine learning tasks. 125 TFLOPS FP16 leverages tensor cores for rapid training of deep models, and 900 GB/s bandwidth enables large-batch processing. NVLink interconnect facilitates efficient multi-GPU scaling for distributed training.
Use Cases
V100's 125 TFLOPS FP16 provides nearly 10x acceleration over P6000's 12.6 TFLOPS for mixed-precision training of large models.
15.7 TFLOPS FP32 and 900 GB/s bandwidth on V100 support larger batches than P6000's 12.6 TFLOPS and 432 GB/s.
Volta tensor cores enable FP16 speedups critical for efficient fine-tuning, absent in Pascal P6000.
V100's high FP16 handles diffusion model generation faster; P6000 suffices for lighter loads but lags.
P6000's 24 GB VRAM and 12.6 TFLOPS FP32 match many simulation needs with certified viz drivers.
Frequently Asked Questions
What is the FP16 performance difference between Quadro P6000 and V100?▾
The V100 achieves 125 TFLOPS FP16, while the P6000 offers 12.6 TFLOPS. This gap accelerates AI training on V100 by nearly 10x in mixed precision. FP32 is closer at 15.7 TFLOPS versus 12.6 TFLOPS.
Which has more VRAM, P6000 or V100 32GB?▾
The V100 provides 32 GB HBM2, exceeding P6000's 24 GB GDDR5X. HBM2 also delivers 900 GB/s bandwidth against 432 GB/s. This aids V100 in larger models.
How do cloud prices compare for these GPUs?▾
P6000 averages $1.10 per hour across 6 offers; V100 32GB averages $1.01 per hour across 46 offers, starting at $0.29. Prices reflect availability and demand.
Is V100 better for multi-GPU setups?▾
Yes, V100 supports NVLink for high-speed interconnects, unlike P6000's PCIe only. This scales training efficiently. Bandwidth aids data transfer.
What TDP do these GPUs have?▾
P6000 consumes 250W; V100 requires 300W. Lower TDP suits constrained environments for P6000. Both fit standard PCIe or SXM2 forms.
Which architecture is newer?▾
Volta in V100 from 2017 follows Pascal in P6000 from 2016. Volta adds tensor cores for FP16 gains. Architectures drive spec deltas.
Which is cheaper to rent, the Quadro P6000 or the V100?▾
Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the V100?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find Quadro P6000 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 P6000 and the V100?▾
The Quadro P6000 uses the Pascal architecture (2016) while the V100 uses Volta (2017). The V100 delivers 9.9x the FP16 throughput and 2.1x the memory bandwidth of the Quadro P6000.