Specifications Compared
| Spec | Quadro RTX 5000 | RTX 5080 |
|---|---|---|
| TDP | 230W | 360W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,072 | 10,752 |
| FP4 (dense) | Not published | 900.4 TFLOPS |
| FP8 (dense) | Not published | 225.1 TFLOPS |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| FP16 (dense) | 89.2 TFLOPS | 112.6 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 178.4 TOPS | 450.2 TOPS |
| Interconnect | NVLink, PCIe 3.0 | PCIe 5.0 |
| Tensor Cores | 384 | 336 |
| FP32 Performance | 11.2 TFLOPS | 56.3 TFLOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
| FP4 (with sparsity) | Not published | 1,801 TFLOPS |
| FP8 (with sparsity) | Not published | 450.2 TFLOPS |
| FP16 (with sparsity) | Not published | 225.1 TFLOPS |
| INT8 (with sparsity) | Not published | 900.4 TOPS |
Performance Analysis
The FP16 dense performance measures 89.2 TFLOPS on the Quadro RTX 5000 against 112.6 TFLOPS dense on the RTX 5080. This difference implies the RTX 5080 handles larger model computations in training scenarios where dense FP16 operations dominate. The FP32 figure of 56.3 TFLOPS on the RTX 5080 exceeds the 11.2 TFLOPS on the Quadro RTX 5000 by a factor of five. Memory bandwidth of 960 GB/s on the RTX 5080 supports larger batch sizes than the 448 GB/s available on the Quadro RTX 5000 during inference tasks. The INT8 dense rating reaches 178.4 TOPS for the Quadro RTX 5000 and 450.2 TOPS for the RTX 5080. Such metrics indicate improved throughput for quantized models on the newer GPU.
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 RTX 5000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ny2 | 1 | $0.82 | — | Deploy |
1 provider in stock, 2 offers (cheapest per provider shown). All Quadro RTX 5000 offers, price history and alerts
RTX 5080
RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.
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When to Choose the Quadro RTX 5000
The Quadro RTX 5000 suits environments with strict power limits because its TDP of 230W remains lower than the 360W TDP of the RTX 5080. NVLink interconnect on the Quadro RTX 5000 enables multi GPU scaling in setups that require it.
When to Choose the RTX 5080
The RTX 5080 provides advantages in applications needing higher FP16 dense performance of 112.6 TFLOPS compared to 89.2 TFLOPS on the Quadro RTX 5000. Its PCIe 5.0 interconnect and GDDR7 memory support modern system integrations.
Use Cases
The RTX 5080 provides INT8 dense performance of 450.2 TOPS compared to 178.4 TOPS on the Quadro RTX 5000.
The RTX 5080 features memory bandwidth of 960 GB/s which allows larger batch sizes than the 448 GB/s on the Quadro RTX 5000.
The RTX 5080 delivers FP16 dense performance of 112.6 TFLOPS against 89.2 TFLOPS dense on the Quadro RTX 5000.
The Quadro RTX 5000 operates at a TDP of 230W which is lower than the 360W TDP of the RTX 5080.
Frequently Asked Questions
What is the FP32 performance of these GPUs?▾
The Quadro RTX 5000 delivers 11.2 TFLOPS in FP32. The RTX 5080 reaches 56.3 TFLOPS in FP32.
Which GPU has higher memory bandwidth?▾
The RTX 5080 has memory bandwidth of 960 GB/s. The Quadro RTX 5000 has memory bandwidth of 448 GB/s.
What interconnect options exist on each model?▾
The Quadro RTX 5000 supports NVLink and PCIe 3.0. The RTX 5080 supports PCIe 5.0.
How do the TDP ratings compare?▾
The Quadro RTX 5000 has a TDP of 230W. The RTX 5080 has a TDP of 360W.
What FP16 dense figures are listed for each GPU?▾
The Quadro RTX 5000 lists FP16 dense at 89.2 TFLOPS. The RTX 5080 lists FP16 dense at 112.6 TFLOPS.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 5080?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 5080 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 RTX 5000 have compared to the RTX 5080?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find Quadro RTX 5000 and RTX 5080 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 RTX 5000 and the RTX 5080?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 1.3x the dense FP16 throughput (112.6 vs 89.2 TFLOPS, both without sparsity) and 2.1x the memory bandwidth of the Quadro RTX 5000.
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 RTX 5000 and the RTX 5080. 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 RTX 5000Every current offer by provider, daily price history and a price alert.
- Rent RTX 5080Every 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.