Specifications Compared
| Spec | QUADRO-P6000 | RTX-5090 |
|---|---|---|
| TDP | 250W | 575W |
| VRAM | 24 GB | 32 GB |
| CUDA Cores | 3,840 | 21,760 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| FP16 Performance | 12.6 TFLOPS | 419 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 432 GB/s | 1,792 GB/s |
Performance Analysis
The architectural disparity defines performance outcomes: the Pascal-based Quadro P6000 delivers identical 12.6 TFLOPS in both FP16 and FP32, limiting its efficacy in contemporary mixed-precision training where FP16 predominates. The Blackwell RTX 5090 surges to 419 TFLOPS in FP16 and 105 TFLOPS in FP32, translating to over 33 times faster half-precision inference and eight times quicker single-precision training iterations. This FP16/FP32 delta means the RTX 5090 excels in transformer-based LLM training, reducing epoch times dramatically for models like GPT variants.
Memory bandwidth profoundly impacts real-world scalability: the Quadro P6000's 432 GB/s constrains large batch sizes in data-heavy inference, often requiring model sharding across multiple GPUs. The RTX 5090's 1792 GB/s bandwidth supports batch sizes up to four times larger without throughput bottlenecks, ideal for high-resolution Stable Diffusion generations or scientific simulations with voluminous datasets. Additionally, the RTX 5090's 838 TFLOPS FP8 capability accelerates quantized inference, a feature absent in the P6000, further widening the gap in deployment scenarios.
Power consumption underscores trade-offs: the Quadro P6000's 250W TDP suits dense deployments, but the RTX 5090's 575W demands robust cooling, offset by superior performance per watt in FP16 tasks.
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 |
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 | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/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 495GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.89/GPU/hr | Available |
When to Choose the Quadro P6000
The Quadro P6000 suits legacy professional applications requiring certified drivers for CAD and visualization software from 2016-2020 eras. Its 24 GB GDDR5X VRAM handles moderate datasets in environments where software compatibility trumps raw speed, such as older finite element analysis tools. At an average cloud price of $1.10 per hour, it provides stability for infrequent, precision-sensitive tasks without the overhead of modern ecosystem migrations.
When to Choose the RTX 5090
The RTX 5090 dominates AI and machine learning workloads, leveraging 419 TFLOPS FP16 for rapid LLM inference and 105 TFLOPS FP32 for training. Its 32 GB GDDR7 VRAM and 1792 GB/s bandwidth enable handling of massive models like 70B-parameter LLMs at scale. With cloud pricing averaging $0.85 per hour and lows at $0.25 per hour, it delivers unmatched performance per dollar for high-throughput compute.
Use Cases
The RTX 5090's 105 TFLOPS FP32 outperforms the Quadro P6000's 12.6 TFLOPS by over eight times, accelerating large-scale training epochs. Its 32 GB VRAM supports bigger models without excessive sharding.
With 419 TFLOPS FP16 and 838 TFLOPS FP8, the RTX 5090 enables low-latency serving of billion-parameter models. The 1792 GB/s bandwidth handles high-concurrency requests far beyond the P6000's 432 GB/s.
RTX 5090's mixed-precision capabilities, including 419 TFLOPS FP16, speed up adapter-based fine-tuning by orders of magnitude over the P6000's uniform 12.6 TFLOPS. Higher VRAM allows full model loading.
The RTX 5090's 1792 GB/s bandwidth supports large batch image generations at high resolutions, leveraging 32 GB VRAM. It vastly outpaces the P6000 in diffusion steps due to 419 TFLOPS FP16.
RTX 5090's 105 TFLOPS FP32 excels in simulations requiring single-precision accuracy, with 32 GB VRAM for complex datasets. Bandwidth of 1792 GB/s prevents memory stalls in HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5090 provides 32 GB of GDDR7 VRAM, exceeding the Quadro P6000's 24 GB GDDR5X. This difference allows the RTX 5090 to accommodate larger AI models without offloading.
What is the memory bandwidth comparison?▾
RTX 5090 offers 1792 GB/s, over four times the Quadro P6000's 432 GB/s. Higher bandwidth on the RTX 5090 improves data transfer for large batch sizes in training.
How do FP32 performances differ?▾
The RTX 5090 achieves 105 TFLOPS FP32, compared to the Quadro P6000's 12.6 TFLOPS. This eightfold gap benefits FP32-dominant tasks like scientific computing.
What are the cloud pricing averages?▾
Quadro P6000 averages $1.10 per hour across six offers, while RTX 5090 averages $0.85 per hour across ten offers, starting from $0.25 per hour. The RTX 5090 provides better value for performance.
Which has higher power consumption?▾
RTX 5090's TDP is 575W, more than double the Quadro P6000's 250W. Users must ensure adequate cooling for RTX 5090 deployments.
What architectures do they use?▾
Quadro P6000 uses Pascal from 2016, while RTX 5090 employs Blackwell from 2025. The generational leap equips RTX 5090 with advanced features like FP8 support at 838 TFLOPS.
Which is cheaper to rent, the Quadro P6000 or the RTX 5090?▾
Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the RTX 5090?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find Quadro P6000 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 P6000 and the RTX 5090?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 33.3x the FP16 throughput and 4.1x the memory bandwidth of the Quadro P6000.