Rent an NVIDIA RTX 4080S GPU with 16 GB VRAM
Rent RTX 4080S cloud GPU servers by the hour on Cloudj: 16 GB VRAM, Ada Lovelace and about 50.9 TFLOPS FP32 with 600 GB/s of memory bandwidth. It is the fastest 16 GB Ada card in our list, a fit for creators and developers who want quick SDXL, Flux FP8, rendering and 14B LLM inference at a 320 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 4080S specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 50.9 TFLOPS
Memory bandwidth
≈ 600 GB/s
Power limit
320 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 4080S configurations and prices
Out of stock right now
Browse available GPUsWhat you can run on the RTX 4080S cloud GPU
High-speed SDXL and Flux FP8
50.9 TFLOPS FP32 and 16 GB handle production SDXL and Flux FP8 workflows.
Animation and render frames
Render animation frames and product shots with Ada RT hardware.
14B LLM inference
600 GB/s keeps 8B–14B quantized models responsive in Ollama or vLLM.
LoRA and QLoRA training
Train image LoRAs or QLoRA adapters on 7B–8B LLMs in BF16.
Is the RTX 4080S the right GPU for your workload?
Pick the RTX 4080S when your workload needs modern Ada Lovelace support and fits within a 16 GB consumer memory footprint. Choose a smaller GPU for lightweight testing that requires less memory, or step up to a larger consumer, workstation, or datacenter card when unquantized models or large batch sizes exceed 16 GB of VRAM.
RTX 4080S vs similar cloud GPUs
Guides for RTX 4080S
RTX 4080S cloud GPU: frequently asked questions
Rent the RTX 4080S 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.