Specifications Compared
| Spec | QUADRO-P5000 | RTX-5090 |
|---|---|---|
| TDP | 180W | 575W |
| VRAM | 16 GB | 32 GB |
| CUDA Cores | 2,560 | 21,760 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| FP16 Performance | 8.9 TFLOPS | 419 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 288 GB/s | 1,792 GB/s |
Performance Analysis
Raw compute metrics reveal the RTX 5090's dominance: its 419 TFLOPS FP16 exceeds the P5000's 8.9 TFLOPS by 47 times, accelerating deep learning training where half-precision dominates. FP32 performance follows suit at 105 TFLOPS versus 8.9 TFLOPS, a 12-fold increase critical for scientific simulations requiring single-precision accuracy. The FP16/FP32 parity on the P5000 suits general compute from 2016, but the 5090's FP8 at 838 TFLOPS optimizes quantized inference, reducing model latency in production deployments.
Memory bandwidth profoundly impacts workloads: the 5090's 1792 GB/s, six times the P5000's 288 GB/s, supports larger batch sizes in training, minimizing data bottlenecks for LLMs with billions of parameters. The 32 GB GDDR7 VRAM versus 16 GB GDDR5X allows handling models like GPT-scale without swapping, enhancing throughput. In inference, higher bandwidth sustains higher queries per second, vital for real-time applications.
Power efficiency shifts with scale: the P5000's 180W TDP enables dense deployments, but the 5090's 575W reflects performance density, yielding over 40 times FP16 throughput per watt in AI tasks despite higher consumption.
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 |
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the Quadro P5000
The Quadro P5000 suits legacy professional workflows constrained by power budgets. Its 180W TDP fits environments limited to under 200W per slot, unlike the RTX 5090's 575W requirement. Applications like CAD rendering or older HPC codes optimized for Pascal architecture run reliably on the P5000's 8.9 TFLOPS FP32 without driver incompatibilities.
Budget-conscious users select the P5000 at a consistent $0.78/hr average across 6 cloud offers when tasks demand no more than 16 GB VRAM and 288 GB/s bandwidth, avoiding overprovisioning for light visualization duties.
When to Choose the RTX 5090
The RTX 5090 excels in modern AI and compute-intensive scenarios demanding peak performance. Its 419 TFLOPS FP16 and 32 GB VRAM handle large-scale LLM training and inference, far surpassing the P5000's 8.9 TFLOPS and 16 GB limits. Users benefit from 1792 GB/s bandwidth for massive batch processing in Stable Diffusion or scientific modeling.
Cloud deployments favor the 5090 starting at $0.25/hr across 10 offers for high-throughput needs, where PCIe 5.0 interconnect accelerates data transfers over the P5000's standard PCIe.
Use Cases
The RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM enable training large models with big batches, dwarfing the P5000's 8.9 TFLOPS and 16 GB. Bandwidth at 1792 GB/s prevents bottlenecks absent in the P5000's 288 GB/s.
FP8 performance of 838 TFLOPS on the 5090 optimizes quantized serving for high QPS, versus the P5000's limited 8.9 TFLOPS FP16. 32 GB VRAM supports full model loading without paging.
105 TFLOPS FP32 and 1792 GB/s bandwidth on the 5090 accelerate parameter-efficient tuning, exceeding the P5000's 8.9 TFLOPS balanced compute. Larger VRAM handles adapter-heavy workflows.
The 5090's 419 TFLOPS FP16 generates images rapidly with 32 GB for high-res pipelines, far beyond the P5000's 16 GB and 288 GB/s constraints.
FP32 at 105 TFLOPS and PCIe 5.0 on the 5090 speed simulations, outperforming the P5000's 8.9 TFLOPS on Pascal. Bandwidth supports large datasets in molecular dynamics.
Frequently Asked Questions
Which GPU has higher FP32 performance?▾
The RTX 5090 achieves 105 TFLOPS FP32, 12 times the Quadro P5000's 8.9 TFLOPS. This gap favors the 5090 in precision-heavy tasks like scientific computing. FP16 follows at 419 TFLOPS versus 8.9 TFLOPS.
How do VRAM and bandwidth compare?▾
The RTX 5090 offers 32 GB GDDR7 with 1792 GB/s bandwidth, doubling the P5000's 16 GB GDDR5X at 288 GB/s. Higher specs enable larger models and batches. This suits AI over legacy viz.
What are the power consumption differences?▾
The P5000 draws 180W TDP, lower than the 5090's 575W. Lower power aids dense, low-cooling setups. Performance per watt favors the 5090 in FP16 at over 40 times throughput.
Compare cloud pricing for these GPUs.▾
P5000 pricing starts from $0.78/hr average across 6 offers. RTX 5090 begins at $0.25/hr average $0.85/hr over 10 offers. Variability allows cheaper 5090 rentals for high perf.
Is the RTX 5090 better for AI workloads?▾
Yes, with 419 TFLOPS FP16, 838 TFLOPS FP8, and 32 GB VRAM, the 5090 crushes AI tasks versus P5000's 8.9 TFLOPS. Bandwidth at 1792 GB/s supports scale. Use P5000 only for non-AI legacy.
What architectures do they use?▾
Quadro P5000 employs Pascal from 2016 with PCIe interconnect. RTX 5090 uses Blackwell 2025 with PCIe 5.0. The nine-year gap yields massive compute leaps in the 5090.
Which is cheaper to rent, the Quadro P5000 or the RTX 5090?▾
Cloud rental prices for both the Quadro P5000 and RTX 5090 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 RTX 5090?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find Quadro P5000 and RTX 5090 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 RTX 5090?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 47.1x the FP16 throughput and 6.2x the memory bandwidth of the Quadro P5000.