High-performance GPU rental for AI training, LLM inference, and generative AI workloads

Rent RTX 5090 GPUs on-demand with pay-as-you-go pricing. Get capacity quickly without upfront hardware costs, and scale as your training needs grow.
| RTX 5090 | RTX 4090 | % Diff | |
|---|---|---|---|
| Architecture | Blackwell | Ada Lovelace | N/A |
| Process Tech | TSMC 4 nm | TSMC 5 nm | N/A |
| Transistors | 92.2 B | 76.3 B | +20.8% |
| Compute Units (SMs) | 170 | 128 | +32.8% |
| Shaders (CUDA) | 21 760 | 16 384 | +32.8% |
| Tensor Cores | 680 | 512 | +32.8% |
| RT Cores | 170 | 128 | +32.8% |
| ROPs | 192 | 176 | +9.1% |
| TMUs | 680 | 512 | +32.8% |
| Boost Clock | 2 407 MHz | 2 520 MHz | −4.5% |
| Memory Type | GDDR7 | GDDR6X | N/A |
| VRAM | 32 GB | 24 GB | +33.3% |
| Bus Width | 512-bit | 384-bit | +33.3% |
| VRAM Speed | 28 Gbps | 21 Gbps | +33.3% |
| Bandwidth | 1 790 GB/s | 1 010 GB/s | +77.2% |
| TDP | 575 W | 450 W | +27.8% |
| PCIe | PCIe 5.0 ×16 | PCIe 4.0 ×16 | N/A |
With 21,760 CUDA cores and 32GB of GDDR7 memory, the RTX 5090 delivers twice the performance of the RTX 4090, setting new benchmarks in graphical processing.
Leverage up to 8 times the performance of traditional rendering methods, thanks to advanced AI-driven enhancements, ensuring superior image quality and frame rates.
1,790 GB/s bandwidth provides 77% faster data throughput than RTX 4090, enabling seamless large-scale model training and real-time processing of massive datasets without bottlenecks.
Explore in-depth performance benchmarks and optimization guides for RTX 5090 GPUs

Benchmarks
I benchmarked RTX 4090, RTX 5090, and RTX PRO 6000 GPUs across multiple configurations (1x, 2x, 4x) for LLM inference throughput using vLLM. This comprehensive benchmark reveals which GPU configuration offers the best performance and cost-efficiency for different model sizes.
Dmitry Trifonov
October 9, 2025

Benchmarks
We ran a series of benchmarks across multiple GPU cloud servers to evaluate their performance for LLM workloads, specifically serving LLaMA and Qwen models and on RTX 4090, RTX 5090, and RTX PRO 6000 GPUs.
Natalia Trifonova
September 23, 2025

AI Tools & Workflows
Network-Attached KV Cache for Long-Context, Multi-Turn Workloads. Let's be honest — we can't afford an H100. Learn how to extend your RTX GPU's effective memory using innovative KV cache offloading techniques.
Natalia Trifonova
August 10, 2025
Common questions about renting RTX 5090 GPUs
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