RTX 4080 vs RTX 4080S?

Very close: both 16 GB, with the RTX 4080S listed at about 50.9 TFLOPS and 600 GB/s versus 48.6 TFLOPS and 576 GB/s here. Pick whichever is available at the better price.

RTX 4080 vs RTX 3090 for AI?

The RTX 4080 has more compute (48.6 vs 35.4 TFLOPS), while the RTX 3090 has more memory (24 vs 16 GB) and bandwidth (805 vs 576 GB/s). For LLMs and big images, memory usually wins.

Can I run SDXL with ControlNet on 16 GB?

Yes, SDXL with several ControlNets and LoRAs fits in 16 GB in ComfyUI.

How do I rent an RTX 4080 on Cloudj?

Choose a template, pick a live RTX 4080 configuration (filter by country if location matters), select your SSH key and confirm the price. Then connect over SSH with the host and port shown on the instance page.

GPU Cloud · NVIDIA · Ada Lovelace

Rent an NVIDIA RTX 4080 GPU with 16 GB VRAM

Rent RTX 4080 cloud GPU servers by the hour on Cloudj: 16 GB VRAM on Ada Lovelace with about 48.6 TFLOPS FP32 and 576 GB/s of memory bandwidth. At a 285 W power limit it is a high-compute 16 GB card for creators and AI developers running SDXL, quantized Flux, 14B LLMs and GPU rendering that need speed more than memory. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent RTX 4080 All GPUs

RTX 4080 specifications

VRAM per GPU

16 GB

Architecture

NVIDIA Ada Lovelace

Compute capability

8.9

FP32 compute

≈ 48.6 TFLOPS

Memory bandwidth

≈ 576 GB/s

Power limit

285 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live RTX 4080 configurations and prices

Out of stock right now

Browse available GPUs

What you can run on the RTX 4080 cloud GPU

Fast image generation

48.6 TFLOPS FP32 gives quick SDXL and Flux FP8 runs in ComfyUI.

GPU path tracing

Ada RT hardware and strong FP32 speed up final renders for scenes up to 16 GB.

14B models at 4-bit

Run 14B LLMs at 4-bit or 8B at 8-bit for chat and agents.

Fine-tuning diffusion LoRAs

Train SDXL and Flux LoRAs on your own data in a few hourly sessions.

Is the RTX 4080 the right GPU for your workload?

The RTX 4080 suits developers who need Ada Lovelace compute capability 8.9 and 16 GB of VRAM for inference, diffusion models, and prototyping. Choose a smaller consumer GPU for basic scripts with lower memory demands, or step up to a higher-VRAM consumer, workstation, or datacenter GPU if your model weights exceed 16 GB.

RTX 4080 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 4080	16 GB	≈ 48.6 TFLOPS	285 W
NVIDIA RTX 4080S	16 GB	≈ 50.9 TFLOPS	320 W	Details →
NVIDIA RTX 4060 Ti	16 GB	≈ 21.6 TFLOPS	165 W	Details →
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →

Guides for RTX 4080

GPU cloud Asia guide: Japan, Singapore, Korea and nearbyA practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS.GPU cloud by location: how to pick a country for your GPUHow GPU cloud by location works on Cloudj: filter a live list of machines by country code, decide between near users, lowest price or data rules.GPU cloud Europe: choosing a country for your AI workloadsA practical guide to GPU cloud Europe searches: filter by several country codes at once, weigh Western, Nordic and Eastern hosts, and plan where data lives.GPU cloud North America: renting GPUs in the US and CanadaA GPU cloud North America guide: how to search US and CA hosts, read the results, pick a VPS front end and decide when a US GPU suits users elsewhere.

All articles →

RTX 4080 cloud GPU: frequently asked questions

Rent the RTX 4080 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.

Rent RTX 4080 All GPUs