Specifications Compared
| Spec | RTX 4000 Ada | RTX 5090 |
|---|---|---|
| TDP | 130W | 575W |
| VRAM | 20 GB | 32 GB |
| CUDA Cores | 6,144 | 21,760 |
| FP4 (dense) | Not published | 1,676 TFLOPS |
| FP8 (dense) | Not published | 419 TFLOPS |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| FP16 (dense) | Not published | 209.5 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | Not published | 838 TOPS |
| Interconnect | PCIe 4.0 | PCIe 5.0 |
| Tensor Cores | 192 | 680 |
| FP32 Performance | 26.7 TFLOPS | 104.8 TFLOPS |
| FP64 Performance | Not published | 1.6 TFLOPS |
| Memory Bandwidth | 360 GB/s | 1,792 GB/s |
| FP4 (with sparsity) | Not published | 3,352 TFLOPS |
| FP8 (with sparsity) | 427.6 TFLOPS | 838 TFLOPS |
| FP16 (with sparsity) | Not published | 419 TFLOPS |
| INT8 (with sparsity) | Not published | 1,676 TOPS |
Performance Analysis
The FP32 specification shows the RTX 5090 at 104.8 TFLOPS exceeds the RTX 4000 Ada at 26.7 TFLOPS by a factor of approximately four. FP8 performance with sparsity reaches 427.6 TFLOPS on the RTX 4000 Ada compared to 838 TFLOPS on the RTX 5090. Memory bandwidth of 1792 GB/s on the RTX 5090 versus 360 GB/s on the RTX 4000 Ada permits larger batch sizes during inference or training workloads that move substantial tensor data. The RTX 5090 also lists FP16 dense performance at 209.5 TFLOPS while the RTX 4000 Ada provides no published FP16 figure.
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.
RTX 4000 Ada
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When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits deployments where power consumption must remain at 130W and where FP8 workloads with sparsity at 427.6 TFLOPS meet requirements. Its 20 GB GDDR6 configuration and PCIe 4.0 interconnect fit systems with constrained cooling or lower slot power delivery.
When to Choose the RTX 5090
The RTX 5090 suits workloads that require 32 GB GDDR7 VRAM and 1792 GB/s memory bandwidth to support larger models or higher throughput. FP32 performance at 104.8 TFLOPS and FP8 with sparsity at 838 TFLOPS enable faster execution on dense or sparse tensor operations within a 575W envelope.
Use Cases
The RTX 5090 supplies 32 GB GDDR7 VRAM and 104.8 TFLOPS FP32 to handle larger training batches than the 20 GB and 26.7 TFLOPS on the RTX 4000 Ada.
FP8 with sparsity at 838 TFLOPS and 1792 GB/s bandwidth on the RTX 5090 accelerate inference compared to 427.6 TFLOPS and 360 GB/s on the RTX 4000 Ada.
The RTX 5090 FP16 dense figure of 209.5 TFLOPS combined with 32 GB VRAM supports fine-tuning steps that exceed the published capabilities of the RTX 4000 Ada.
Memory bandwidth of 1792 GB/s on the RTX 5090 allows larger image batches than the 360 GB/s available on the RTX 4000 Ada.
FP32 performance of 26.7 TFLOPS on the RTX 4000 Ada at 130W TDP or 104.8 TFLOPS on the RTX 5090 at 575W TDP can each satisfy different power and throughput constraints.
Frequently Asked Questions
What is the FP32 performance difference between these GPUs?▾
The RTX 4000 Ada lists 26.7 TFLOPS FP32 while the RTX 5090 lists 104.8 TFLOPS FP32. This fourfold difference appears directly in the published specifications.
What memory bandwidth do the GPUs deliver?▾
Memory bandwidth reaches 360 GB/s on the RTX 4000 Ada and 1792 GB/s on the RTX 5090. The higher figure supports larger batch processing during tensor operations.
Which GPU has lower power consumption?▾
The RTX 4000 Ada operates at a 130W TDP while the RTX 5090 operates at a 575W TDP. Lower power suits installations with limited cooling capacity.
What FP8 performance figures are published?▾
The RTX 4000 Ada provides 427.6 TFLOPS FP8 with sparsity. The RTX 5090 provides 419 TFLOPS FP8 dense and 838 TFLOPS FP8 with sparsity.
Do both GPUs use the same interconnect standard?▾
The RTX 4000 Ada uses PCIe 4.0 while the RTX 5090 uses PCIe 5.0. Both remain available in PCIe form factors.
Which is cheaper to rent, the RTX 4000 Ada or the RTX 5090?▾
Cloud rental prices for both the RTX 4000 Ada 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 RTX 4000 Ada have compared to the RTX 5090?▾
The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 4000 Ada 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 RTX 4000 Ada and the RTX 5090?▾
The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 5090 uses Blackwell (2025). The RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s; the RTX 5090 has 32 GB of GDDR7 at 1,792 GB/s, so the RTX 5090 has 5.0x the memory bandwidth of the RTX 4000 Ada.
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Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 4000 Ada 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 RTX 4000 ADAEvery 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.
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