Specifications Compared
| Spec | Quadro RTX 4000 | RTX 5090 |
|---|---|---|
| TDP | 125W | 575W |
| VRAM | 8 GB | 32 GB |
| CUDA Cores | 2,304 | 21,760 |
| FP4 (dense) | Not published | 1,676 TFLOPS |
| FP8 (dense) | Not published | 419 TFLOPS |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| FP16 (dense) | 57 TFLOPS | 209.5 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | Not published | 838 TOPS |
| Interconnect | PCIe 3.0 | PCIe 5.0 |
| Tensor Cores | 288 | 680 |
| FP32 Performance | 7.1 TFLOPS | 104.8 TFLOPS |
| FP64 Performance | Not published | 1.6 TFLOPS |
| Memory Bandwidth | 416 GB/s | 1,792 GB/s |
| FP4 (with sparsity) | Not published | 3,352 TFLOPS |
| FP8 (with sparsity) | Not published | 838 TFLOPS |
| FP16 (with sparsity) | Not published | 419 TFLOPS |
| INT8 (with sparsity) | Not published | 1,676 TOPS |
Performance Analysis
The FP16 dense performance of 57 TFLOPS on the Quadro RTX 4000 versus 209.5 TFLOPS on the RTX 5090 indicates that the RTX 5090 handles larger scale computations in training and inference scenarios. This delta allows the RTX 5090 to process more operations in dense FP16 mode. Memory bandwidth of 416 GB/s versus 1792 GB/s affects the ability to support larger batch sizes during model execution. For inference tasks the higher FP32 rating of 104.8 TFLOPS on the RTX 5090 compared to 7.1 TFLOPS supports faster execution of single precision workloads. The sparsity options on the RTX 5090 provide additional pathways but comparisons remain within dense figures only. The 32 GB VRAM capacity enables handling of models that exceed the 8 GB limit of the Quadro RTX 4000.
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 4000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ams1 | 1 | $0.56 | — | Deploy |
1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts
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When to Choose the Quadro RTX 4000
The Quadro RTX 4000 suits environments with strict power constraints due to its 125W TDP. Workloads that fit within 8 GB VRAM and require only 57 TFLOPS dense FP16 performance benefit from this GPU in legacy systems.
When to Choose the RTX 5090
The RTX 5090 excels in applications demanding 32 GB VRAM and 209.5 TFLOPS dense FP16 throughput. High bandwidth of 1792 GB/s supports intensive data movement for complex computations.
Use Cases
The RTX 5090 with 209.5 TFLOPS dense FP16 and 32 GB VRAM handles larger models than the 57 TFLOPS and 8 GB of the Quadro RTX 4000.
The RTX 5090 with 209.5 TFLOPS dense FP16 and 1792 GB/s bandwidth processes more concurrent requests than the Quadro RTX 4000.
The RTX 5090 with 32 GB VRAM and 104.8 TFLOPS FP32 accommodates larger datasets than the 8 GB and 7.1 TFLOPS of the Quadro RTX 4000.
The RTX 5090 with 209.5 TFLOPS dense FP16 and 32 GB VRAM generates images at higher resolutions than the Quadro RTX 4000.
The Quadro RTX 4000 with 125W TDP fits power limited clusters while delivering 7.1 TFLOPS FP32 for smaller simulations.
Frequently Asked Questions
What is the difference in FP16 performance between Quadro RTX 4000 and RTX 5090?▾
The Quadro RTX 4000 delivers 57 TFLOPS dense FP16 while the RTX 5090 provides 209.5 TFLOPS dense FP16.
What are the TDP ratings for these GPUs?▾
The Quadro RTX 4000 has a TDP of 125W while the RTX 5090 has a TDP of 575W.
What FP32 performance do the GPUs provide?▾
The Quadro RTX 4000 provides 7.1 TFLOPS FP32 while the RTX 5090 provides 104.8 TFLOPS FP32.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 5090?▾
Cloud rental prices for both the Quadro RTX 4000 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 RTX 4000 have compared to the RTX 5090?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find Quadro RTX 4000 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 RTX 4000 and the RTX 5090?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 3.7x the dense FP16 throughput (209.5 vs 57 TFLOPS, both without sparsity) and 4.3x the memory bandwidth of the Quadro RTX 4000.
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 4000 and the RTX 5090. 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 4000Every current offer by provider, daily price history and a price alert.
- Rent RTX 5090Every 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.