Rent an NVIDIA RTX 5090 GPU with 32 GB VRAM
Rent RTX 5090 cloud GPU servers by the hour on Cloudj: 32 GB VRAM, NVIDIA Blackwell and about 107.6 TFLOPS FP32 with 1454 GB/s of memory bandwidth. It is the fastest consumer GPU in our list, built for AI creators and developers who outgrew 24 GB: full-precision Flux, video models, 30B-class LLMs and quick fine-tunes at a 575 W power limit. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.
RTX 5090 specifications
VRAM per GPU
32 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 107.6 TFLOPS
Memory bandwidth
≈ 1454 GB/s
Power limit
575 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 5090 configurations and prices
From $0.69/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the RTX 5090 cloud GPU
Full-precision Flux and video
32 GB runs 16-bit Flux with LoRAs and larger video models in ComfyUI.
30B-class LLMs with long context
Fit quantized 30B–34B models with generous KV cache; 1454 GB/s makes decoding fast.
Fine-tuning 7B–14B models
LoRA in BF16 or QLoRA on 14B-class models with Unsloth, with more sequence length than 24 GB allows.
High-end rendering
107.6 TFLOPS FP32 and 32 GB handle heavy scenes and final-frame renders.
Is the RTX 5090 the right GPU for your workload?
Choose the RTX 5090 when your workloads require 32 GB of VRAM and the high memory bandwidth of the Blackwell consumer architecture. If your models exceed 32 GB of memory, consider a larger workstation or datacenter GPU, whereas smaller consumer GPUs are more appropriate for lightweight inference and basic development.
RTX 5090 vs similar cloud GPUs
Guides for RTX 5090
RTX 5090 cloud GPU: frequently asked questions
Rent the RTX 5090 cloud GPU by the hour
Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.