RTX 3080 Ti vs RTX 3090?

FP32 is nearly the same (35.1 vs 35.4 TFLOPS), but the RTX 3090 has 24 GB versus 12 GB. If your model or scene needs more than 12 GB, the 3090 is the right choice.

RTX 3080 Ti vs RTX 4070S?

Both have 12 GB. The RTX 4070S is listed with about 35.8 TFLOPS at 220 W and 411 GB/s, so compute is similar while the RTX 3080 Ti has much more bandwidth (787 GB/s) for LLM decoding.

Can I fine-tune on 12 GB?

QLoRA on 7B–8B models with moderate sequence length works with Unsloth. For 13B and up, use 24 GB or more.

What do I pay while the server is stopped on Cloudj?

Only storage is charged while it is stopped, and the GPU is released, so starting again may wait until it is free. Destroy the instance when you no longer need its data to stop all charges.

GPU Cloud · NVIDIA · Ampere

Rent an NVIDIA RTX 3080 Ti GPU with 12 GB VRAM

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

Rent RTX 3080 Ti cloud GPU servers by the hour on Cloudj: 12 GB VRAM, NVIDIA Ampere and about 35.1 TFLOPS FP32 with 787 GB/s of memory bandwidth. It is close to RTX 3090 speed with half the memory, a fit for creators and developers whose SDXL, 13B LLM and rendering jobs fit in 12 GB, at a 350 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 Ti All GPUs

RTX 3080 Ti specifications

VRAM per GPU

12 GB

Architecture

NVIDIA Ampere

Compute capability

8.6

FP32 compute

≈ 35.1 TFLOPS

Memory bandwidth

≈ 787 GB/s

Power limit

350 W

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

Live RTX 3080 Ti configurations and prices

From $0.16/h

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

Deploy

What you can run on the RTX 3080 Ti cloud GPU

SDXL with LoRAs

12 GB and 35.1 TFLOPS handle SDXL plus LoRAs and ControlNet in ComfyUI at speed.

Quick 8B–14B inference

787 GB/s gives fast token generation for 8B at 8-bit or 14B at 4-bit.

Rendering and animation frames

Strong FP32 throughput for Blender Cycles and other CUDA renderers.

Short training runs

Train vision and audio models with BF16 mixed precision on Ampere.

Is the RTX 3080 Ti the right GPU for your workload?

The RTX 3080 Ti suits developers and creators who need strong Ampere compute performance for workloads that fit comfortably within 12 GB of VRAM. Choose a smaller consumer GPU for basic scripting or lightweight inference, or step up to a GPU with more VRAM if you are fine-tuning large models or loading unquantized weights.

RTX 3080 Ti vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W
NVIDIA RTX 4070S	12 GB	≈ 35.8 TFLOPS	220 W	Details →
NVIDIA RTX 4070	12 GB	≈ 29.3 TFLOPS	200 W	Details →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →
NVIDIA GTX 1080	8 GB	≈ 7.8 TFLOPS	130 W	Details →

Guides for RTX 3080 Ti

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 Ti cloud GPU: frequently asked questions

Rent the RTX 3080 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.

Rent RTX 3080 Ti All GPUs