Specifications Compared
| Spec | QUADRO-P5000 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 180W | 260W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 2,560 | 4,608 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 288 GB/s | 672 GB/s |
Performance Analysis
The RTX 8000 outperforms the P5000 in raw compute with 16.3 TFLOPS FP16 and FP32 versus 8.9 TFLOPS, enabling roughly 83 percent faster processing for training and inference workloads balanced across precisions. This delta suits general-purpose compute where FP32 dominates, such as scientific simulations, without specialized tensor core boosts.
Memory specs define practical limits: the RTX 8000's 48 GB VRAM and 672 GB/s bandwidth support batch sizes up to three times larger than the P5000's 16 GB and 288 GB/s, reducing data transfer bottlenecks in deep learning. For LLM training, this means handling models with billions of parameters on RTX 8000 without excessive swapping.
Power and form factor similarities aid upgrades: both use PCIe, but the RTX 8000's 260W TDP and NVLink enable multi-GPU scaling for distributed inference, where the P5000 lacks interconnect options.
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 |
When to Choose the Quadro P5000
The Quadro P5000 suits budget-conscious users needing immediate cloud access at $0.78 per hour average across six providers. Its 180W TDP fits power-limited environments, and 8.9 TFLOPS FP32 handles moderate visualization or fine-tuning tasks without NVLink dependency.
Choose P5000 for legacy Pascal-optimized software or single-GPU inference where 16 GB VRAM suffices, avoiding RTX 8000's current unavailability.
When to Choose the Quadro RTX 8000
Opt for the Quadro RTX 8000 when workloads demand 48 GB VRAM for large models or datasets exceeding 16 GB. The 672 GB/s bandwidth and 16.3 TFLOPS performance accelerate training by up to 83 percent over P5000.
NVLink support makes RTX 8000 ideal for multi-GPU setups in scientific computing, despite higher 260W TDP.
Use Cases
RTX 8000's 48 GB VRAM and 672 GB/s bandwidth handle larger models and batches better than P5000's 16 GB and 288 GB/s. Its 16.3 TFLOPS FP16 outperforms P5000's 8.9 TFLOPS.
Higher 16.3 TFLOPS FP16/FP32 and NVLink enable efficient scaled inference on RTX 8000. P5000 limits larger deployments with lower bandwidth.
P5000's 16 GB VRAM suffices for smaller models at $0.78 per hour, while RTX 8000's 48 GB excels for extensive fine-tuning. Performance gap of 8.9 to 16.3 TFLOPS matters less for iterative tasks.
RTX 8000's Turing architecture and 48 GB VRAM support high-resolution generation with 672 GB/s bandwidth. P5000's Pascal limits complex pipelines.
NVLink and 16.3 TFLOPS FP32 on RTX 8000 scale simulations better than P5000's standalone PCIe setup. Bandwidth advantage aids data-intensive codes.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P5000 or RTX 8000?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, triple the Quadro P5000's 16 GB GDDR5X. This enables larger datasets on RTX 8000. Bandwidth follows suit at 672 GB/s versus 288 GB/s.
What is the performance difference in TFLOPS?▾
Quadro RTX 8000 delivers 16.3 TFLOPS in both FP16 and FP32, 83 percent higher than P5000's 8.9 TFLOPS per precision. This boosts training and inference speeds. Architectures differ: Turing versus Pascal.
Is the Quadro P5000 available in the cloud?▾
Quadro P5000 offers start from $0.78 per hour, averaging $0.78 across six live providers. Quadro RTX 8000 has no current cloud listings. P5000 suits immediate needs.
What are the power requirements?▾
Quadro P5000 draws 180W TDP, lower than RTX 8000's 260W. Both use PCIe form factor. RTX 8000 adds NVLink for multi-GPU.
Which is better for multi-GPU setups?▾
Quadro RTX 8000 supports NVLink interconnect, absent in P5000. This enhances scaling for distributed workloads. P5000 relies on PCIe alone.
How do architectures compare?▾
P5000 uses 2016 Pascal with 8.9 TFLOPS, while 2018 Turing RTX 8000 reaches 16.3 TFLOPS. Turing adds RT cores for ray tracing. Memory upgrades favor RTX 8000.
Which is cheaper to rent, the Quadro P5000 or the Quadro RTX 8000?▾
Cloud rental prices for both the Quadro P5000 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 P5000 have compared to the Quadro RTX 8000?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find Quadro P5000 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 P5000 and the Quadro RTX 8000?▾
The Quadro P5000 uses the Pascal architecture (2016) while the Quadro RTX 8000 uses Turing (2018). The Quadro RTX 8000 delivers 1.8x the FP16 throughput and 2.3x the memory bandwidth of the Quadro P5000.