RTX 3080 vs RTX 3080 Ti?

The RTX 3080 Ti is listed with 12 GB, about 35.1 TFLOPS and 787 GB/s, versus 10 GB, 29.5 TFLOPS and 656 GB/s here. The extra 2 GB gives SDXL add-ons and 8-bit 8B models more room.

Is 10 GB enough for Flux?

Only quantized versions with tight settings. For comfortable Flux work, use 16–24 GB, such as the RTX 4080 or RTX 3090.

Is the RTX 3080 good for LLMs?

For 7B–13B quantized models, yes; bandwidth is high for a consumer card. Models above about 13B at 4-bit need more memory.

How do I rent an RTX 3080 on Cloudj?

Choose a template, pick a live RTX 3080 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 · Ampere

Rent an NVIDIA RTX 3080 GPU with 10 GB VRAM

Name: NVIDIA RTX 3080 cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX 3080 cloud GPU servers by the hour on Cloudj: 10 GB VRAM on NVIDIA Ampere with about 29.5 TFLOPS FP32 and 656 GB/s of memory bandwidth. It is a high-throughput card for creators and developers running SD 1.5 and SDXL, quantized 13B LLMs and rendering jobs that fit in 10 GB, at a 380 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.

Rent RTX 3080 All GPUs

RTX 3080 specifications

VRAM per GPU

10 GB

Architecture

NVIDIA Ampere

Compute capability

8.6

FP32 compute

≈ 29.5 TFLOPS

Memory bandwidth

≈ 656 GB/s

Power limit

380 W

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

Live RTX 3080 configurations and prices

From $0.19/h

incl. 32 GB disk · Live price, updated every 15 minutes

Deploy

What you can run on the RTX 3080 cloud GPU

Fast SDXL generation

656 GB/s and 29.5 TFLOPS speed up SDXL in ComfyUI with a light set of add-ons.

13B LLMs at 4-bit

10 GB fits a 4-bit 13B model, and the bandwidth gives quick token generation for one user.

GPU rendering

Render scenes up to 10 GB on Ampere with strong FP32 throughput.

Training small vision models

BF16 mixed precision and high bandwidth make short training runs efficient.

Is the RTX 3080 the right GPU for your workload?

Choose the RTX 3080 for prototyping, image generation, and small-scale inference where 10 GB of VRAM and strong Ampere compute are sufficient. Opt for a GPU with more memory if your models or batch sizes exceed 10 GB, or select a lower-spec consumer card for lightweight scripts that do not require about 29.5 TFLOPS.

RTX 3080 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 3080	10 GB	≈ 29.5 TFLOPS	380 W
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →
NVIDIA RTX 4070	12 GB	≈ 29.3 TFLOPS	200 W	Details →
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA RTX 4070S	12 GB	≈ 35.8 TFLOPS	220 W	Details →

Guides for RTX 3080

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 3080 cloud GPU: frequently asked questions

Rent the RTX 3080 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 3080 All GPUs