Specifications Compared
| Spec | RTX-5070 | RTX-5090 |
|---|---|---|
| TDP | 250W | 575W |
| VRAM | 12 GB | 32 GB |
| CUDA Cores | 6,144 | 21,760 |
| Memory Type | GDDR7 | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 192 | 680 |
| FP16 Performance | 40.6 TFLOPS | 419 TFLOPS |
| FP32 Performance | 40.6 TFLOPS | 105 TFLOPS |
| INT8 Performance | 650 TOPS | 838 TOPS |
| Memory Bandwidth | 448 GB/s | 1,792 GB/s |
Performance Analysis
Raw compute reveals stark contrasts in suitability for AI tasks: the RTX 5090's 419 TFLOPS FP16 dwarfs the RTX 5070 Ti's 40.6 TFLOPS, enabling 10 times faster model training on large datasets. FP32 performance follows suit at 105 TFLOPS versus 40.6 TFLOPS, benefiting simulations and rendering. The RTX 5090's 838 TFLOPS FP8 excels in inference, processing quantized models at high throughput. Memory bandwidth defines practical limits: 1792 GB/s on the RTX 5090 supports batch sizes four times larger than the RTX 5070 Ti's 448 GB/s, reducing out-of-memory errors for LLMs exceeding 12 GB. Higher TDP of 575 W on the RTX 5090 demands robust cooling, unlike the 250 W RTX 5070 Ti. In real-world terms, the RTX 5090 accelerates training epochs by orders of magnitude, while the RTX 5070 Ti suffices for prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/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 | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the RTX 5070 Ti
Opt for the RTX 5070 Ti in budget-constrained environments or lighter workloads. Its 250 W TDP and $0.10 per hour starting price suit small-scale inference and fine-tuning of models under 12 GB VRAM. Developers testing prototypes or running Stable Diffusion at 448 GB/s bandwidth find it efficient without overprovisioning.
When to Choose the RTX 5090
Select the RTX 5090 for production-scale AI where performance trumps cost. The 32 GB VRAM and 1792 GB/s bandwidth handle massive LLMs, while 419 TFLOPS FP16 cuts training time dramatically. High-volume inference benefits from 838 TFLOPS FP8 at $0.65 average hourly rate across abundant offers.
Use Cases
The RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM enable training of large models that exceed the RTX 5070 Ti's 12 GB limit. Its 1792 GB/s bandwidth supports bigger batches for faster convergence.
838 TFLOPS FP8 on the RTX 5090 delivers high-throughput quantized inference, far beyond the RTX 5070 Ti's 40.6 TFLOPS FP16. 32 GB VRAM handles production-scale deployments.
RTX 5070 Ti suffices for small models under 12 GB at 40.6 TFLOPS, but RTX 5090 accelerates larger ones with 105 TFLOPS FP32. Choice depends on model size.
RTX 5070 Ti's 12 GB VRAM and 448 GB/s bandwidth generate images efficiently at lower $0.19 average cost. RTX 5090 overkill for typical resolutions.
RTX 5090's 105 TFLOPS FP32 and 1792 GB/s bandwidth excel in simulations requiring high precision. RTX 5070 Ti's 40.6 TFLOPS limits complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5090 offers 32 GB GDDR7, compared to the RTX 5070 Ti's 12 GB. This makes the RTX 5090 better for large models. Bandwidth follows at 1792 GB/s versus 448 GB/s.
What are the TFLOPS differences?▾
RTX 5090 delivers 419 TFLOPS FP16, 105 TFLOPS FP32, and 838 TFLOPS FP8; RTX 5070 Ti matches 40.6 TFLOPS in FP16 and FP32. The gap favors RTX 5090 in AI tasks.
How do power requirements compare?▾
RTX 5070 Ti draws 250 W TDP, while RTX 5090 requires 575 W. Lower power suits edge deployments for the RTX 5070 Ti.
What is the cloud pricing?▾
RTX 5070 Ti starts at $0.10 per hour, averaging $0.19 across two offers. RTX 5090 begins at $0.17 per hour, averaging $0.65 across 29 offers.
Are both PCIe compatible?▾
Yes, both support PCIe form factors. RTX 5090 adds PCIe 5.0 interconnect for faster data transfer.
Which is newer?▾
Both use 2025 Blackwell architecture. No generational difference exists between them.
Which is cheaper to rent, the RTX 5070 or the RTX 5090?▾
Cloud rental prices for both the RTX 5070 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 5070 have compared to the RTX 5090?▾
The RTX 5070 has 12 GB of GDDR7 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 5070 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 5070 and the RTX 5090?▾
The RTX 5070 uses the Blackwell architecture (2025) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 10.3x the FP16 throughput and 4.0x the memory bandwidth of the RTX 5070.