Specifications Compared
| Spec | Quadro P6000 | RTX A5000 |
|---|---|---|
| TDP | 250W | 230W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 3,840 | 8,192 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 3.0 | NVLink, PCIe 4.0 |
| Tensor Cores | Not published | 256 |
| FP32 Performance | 12.6 TFLOPS | 27.8 TFLOPS |
| Memory Bandwidth | 432 GB/s | 768 GB/s |
| FP16 (with sparsity) | Not published | 222.2 TFLOPS |
Performance Analysis
Dense FP32 throughput on the RTX A5000 reaches 27.8 TFLOPS while the Quadro P6000 reaches 12.6 TFLOPS dense. This gap means the RTX A5000 completes single precision training and inference steps in roughly half the time for equivalent workloads. The RTX A5000 also lists FP16 with sparsity at 222.2 TFLOPS whereas the Quadro P6000 figure is not published by the vendor. Memory bandwidth of 768 GB/s on the RTX A5000 versus 432 GB/s on the Quadro P6000 permits larger batch sizes during data parallel operations before memory capacity limits are reached. The 230W TDP on the RTX A5000 compared with 250W on the Quadro P6000 further reduces power draw during extended runs that utilize the higher dense FP32 rate.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
Quadro P6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ams1 | 1 | $1.10 | — | Deploy |
1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts
RTX A5000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Vast.ai | Ireland, IE | 5 | $0.24 | $1.20 | Deploy |
| Paperspace | ams1 | 1 | $1.38 | — | Deploy |
2 providers in stock, 7 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts
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When to Choose the Quadro P6000
The Quadro P6000 suits environments limited to PCIe 3.0 interconnects that do not require NVLink. Its 12.6 TFLOPS dense FP32 and 432 GB/s bandwidth meet requirements for established applications that run without newer tensor features. The 250W TDP remains acceptable when system power budgets already accommodate older Pascal cards.
When to Choose the RTX A5000
Its 768 GB/s bandwidth supports larger batches in memory bound tasks while the 230W TDP lowers overall energy consumption compared with the Quadro P6000.
Use Cases
The RTX A5000 supplies 27.8 TFLOPS dense FP32 against 12.6 TFLOPS dense on the Quadro P6000.
The RTX A5000 supplies 222.2 TFLOPS FP16 with sparsity while the Quadro P6000 figure is not published by the vendor.
The RTX A5000 provides 768 GB/s bandwidth versus 432 GB/s on the Quadro P6000 for larger batch handling.
The RTX A5000 delivers 27.8 TFLOPS dense FP32 and 768 GB/s bandwidth that exceed Quadro P6000 specifications.
Both GPUs offer identical 24 GB VRAM though the RTX A5000 adds higher dense FP32 and bandwidth.
Frequently Asked Questions
What FP32 performance does the Quadro P6000 deliver?▾
The Quadro P6000 delivers 12.6 TFLOPS dense FP32. Its TDP reaches 250W with 432 GB/s memory bandwidth.
What FP32 performance does the RTX A5000 deliver?▾
The RTX A5000 delivers 27.8 TFLOPS dense FP32. It also lists 222.2 TFLOPS FP16 with sparsity and 768 GB/s bandwidth.
How does memory bandwidth differ between the two GPUs?▾
The Quadro P6000 provides 432 GB/s while the RTX A5000 provides 768 GB/s. Both maintain 24 GB VRAM capacity.
Which GPU uses less power?▾
The RTX A5000 uses 230W TDP compared with 250W TDP on the Quadro P6000. Both cards use PCIe form factors.
Does the RTX A5000 support NVLink?▾
The RTX A5000 supports NVLink and PCIe 4.0. The Quadro P6000 supports only PCIe 3.0.
Which is cheaper to rent, the Quadro P6000 or the RTX A5000?▾
Cloud rental prices for both the Quadro P6000 and RTX A5000 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 A5000?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find Quadro P6000 and RTX A5000 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 A5000?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX A5000 uses Ampere (2021). The Quadro P6000 has 24 GB of GDDR5X at 432 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 1.8x the memory bandwidth of the Quadro P6000.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro P6000 and the RTX A5000. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent QUADRO P6000Every current offer by provider, daily price history and a price alert.
- Rent RTX A5000Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.