Specifications Compared
| Spec | QUADRO-P6000 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 250W | 260W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 3,840 | 4,608 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 12.6 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 432 GB/s | 672 GB/s |
Performance Analysis
The Quadro RTX 8000 outperforms the P6000 in raw compute: 16.3 TFLOPS in FP16 and FP32 versus 12.6 TFLOPS, yielding about 29 percent higher throughput for training and inference workloads. This delta accelerates deep learning iterations, particularly where half-precision FP16 computations dominate modern models.
Memory specifications favor the RTX 8000 decisively: 48 GB VRAM supports larger batch sizes or models that exceed the P6000's 24 GB limit, reducing out-of-memory errors in training. The 672 GB/s bandwidth versus 432 GB/s minimizes data transfer bottlenecks, enabling smoother handling of high-resolution textures in rendering or voluminous scientific data.
Power draw remains close with the P6000 at 250W and RTX 8000 at 260W, but Turing's architectural advances include tensor cores that enhance FP16 efficiency beyond raw specs.
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 |
When to Choose the Quadro P6000
The Quadro P6000 excels in cost-sensitive deployments: cloud pricing starts at $1.10 per hour with an average of $1.10 across 6 offers, making it accessible where the RTX 8000 has no live availability. Its 250W TDP suits power-constrained environments better than the 260W alternative and suffices for Pascal-optimized legacy applications in CAD or moderate simulations.
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for memory-intensive tasks: 48 GB GDDR6 VRAM accommodates massive models or datasets that overwhelm the P6000's 24 GB. The NVLink interconnect enables efficient multi-GPU configurations absent in the P6000, ideal for scaled ray tracing or AI training with RT cores from Turing architecture.
Use Cases
The RTX 8000's 48 GB VRAM and 672 GB/s bandwidth support larger models and batches critical for LLM training, exceeding the P6000's 24 GB and 432 GB/s limits.
Higher 16.3 TFLOPS FP16 performance on the RTX 8000 delivers faster inference throughput than the P6000's 12.6 TFLOPS, with double VRAM for concurrent requests.
Turing architecture and 48 GB VRAM on the RTX 8000 handle fine-tuning of large models without memory constraints, outperforming Pascal's capabilities.
The RTX 8000's 48 GB VRAM enables higher-resolution image generation and larger batches in Stable Diffusion, aided by RT cores absent in the P6000.
The P6000's $1.10 per hour pricing and 12.6 TFLOPS suffice for many scientific simulations optimized for Pascal, where RTX 8000 unavailability limits options.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB of GDDR6 VRAM, double the Quadro P6000's 24 GB GDDR5X. This difference matters for workloads exceeding 24 GB datasets.
What is the performance difference in TFLOPS?▾
The RTX 8000 achieves 16.3 TFLOPS in FP16 and FP32, compared to the P6000's 12.6 TFLOPS in both precisions. This yields roughly 29 percent higher compute throughput.
How does memory bandwidth compare?▾
RTX 8000 bandwidth reaches 672 GB/s, 56 percent above the P6000's 432 GB/s. Higher bandwidth reduces bottlenecks in data-heavy tasks like training.
What are the cloud pricing details?▾
Quadro P6000 offers start from $1.10 per hour with an average of $1.10 across 6 providers. Quadro RTX 8000 has no live cloud offers currently.
What interconnects do they support?▾
The RTX 8000 includes NVLink for multi-GPU scaling, while the P6000 relies solely on PCIe. NVLink enhances performance in clustered setups.
Which has lower power consumption?▾
The P6000 draws 250W TDP versus the RTX 8000's 260W. This minor edge suits denser or power-limited cloud instances.
Which is cheaper to rent, the Quadro P6000 or the Quadro RTX 8000?▾
Cloud rental prices for both the Quadro P6000 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find Quadro P6000 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The Quadro P6000 uses the Pascal architecture (2016) while the Quadro RTX 8000 uses Turing (2018). The Quadro RTX 8000 delivers 1.3x the FP16 throughput and 1.6x the memory bandwidth of the Quadro P6000.