Rent an NVIDIA RTX 3090 Ti GPU with 24 GB VRAM
Rent RTX 3090 Ti cloud GPU servers by the hour on Cloudj: 24 GB VRAM on NVIDIA Ampere with about 36.4 TFLOPS FP32 and 865 GB/s of memory bandwidth. The fastest Ampere consumer card in our list suits AI developers and artists running Flux, 30B-class LLMs at 4-bit and QLoRA fine-tunes at a 450 W power limit. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.
RTX 3090 Ti specifications
VRAM per GPU
24 GB
Architecture
NVIDIA Ampere
Compute capability
8.6
FP32 compute
≈ 36.4 TFLOPS
Memory bandwidth
≈ 865 GB/s
Power limit
450 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 3090 Ti configurations and prices
From $0.34/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the RTX 3090 Ti cloud GPU
Higher-bandwidth LLM inference
865 GB/s gives the RTX 3090 Ti the most bandwidth of any Ampere consumer card listed, for faster decoding.
Flux with LoRAs
24 GB holds Flux plus LoRAs and upscalers in a single ComfyUI graph.
Fine-tuning 7B–14B models
QLoRA and LoRA runs in BF16 with Unsloth fit comfortably in 24 GB.
Sustained rendering
A 450 W power limit keeps clocks high for long Cycles or OctaneRender jobs.
Is the RTX 3090 Ti the right GPU for your workload?
The RTX 3090 Ti is a practical choice for developers and researchers who need 24 GB of VRAM on an Ampere consumer card for inference or moderate training tasks. Choose a GPU with lower memory if you only run small models, or step up to a workstation or datacenter GPU if your workloads require more than 24 GB of VRAM or newer architectural features.
RTX 3090 Ti vs similar cloud GPUs
Guides for RTX 3090 Ti
RTX 3090 Ti cloud GPU: frequently asked questions
Rent the RTX 3090 Ti 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.