RTX 3060 Ti or RTX 3060 for Stable Diffusion?

For SD 1.5, the RTX 3060 Ti is faster. For SDXL and Flux, the RTX 3060's 12 GB avoids memory limits that 8 GB runs into.

RTX 3060 Ti vs RTX 3070?

Both have 8 GB on Ampere. The RTX 3070 is listed with about 19.8 TFLOPS vs 15.7 here, with similar bandwidth (386 vs 395 GB/s).

Can I fine-tune on 8 GB?

Only small models: QLoRA on 1B–3B LLMs or SD 1.5 LoRAs. For 7B fine-tuning, use 12 GB or more.

How do I stop paying for an idle RTX 3060 Ti on Cloudj?

Stop the server to pay only for its disk, or delete it to stop all charges once your outputs are saved.

GPU Cloud · NVIDIA · Ampere

Rent an NVIDIA RTX 3060 Ti GPU with 8 GB VRAM

Name: NVIDIA RTX 3060 Ti cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX 3060 Ti cloud GPU servers by the hour on Cloudj: 8 GB VRAM, NVIDIA Ampere and about 15.7 TFLOPS FP32 with 395 GB/s of memory bandwidth. It is a quick 8 GB card for developers who need Ampere speed for SD 1.5, 7B LLMs at 4-bit, vision models and CUDA testing at a 200 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 3060 Ti All GPUs

RTX 3060 Ti specifications

VRAM per GPU

8 GB

Architecture

NVIDIA Ampere

Compute capability

8.6

FP32 compute

≈ 15.7 TFLOPS

Memory bandwidth

≈ 395 GB/s

Power limit

200 W

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

Live RTX 3060 Ti configurations and prices

From $0.09/h

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

Deploy

What you can run on the RTX 3060 Ti cloud GPU

Fast SD 1.5 generation

15.7 TFLOPS and Ampere Tensor Cores make SD 1.5 batches quick in 8 GB.

7B LLMs at 4-bit

Run 7B–8B models quantized in Ollama for prompt engineering and app tests.

Computer vision inference

Serve YOLO-style detection, segmentation and OCR models with low latency.

BF16 code testing

Test BF16 training loops on Ampere before running them on larger GPUs.

Is the RTX 3060 Ti the right GPU for your workload?

Choose the RTX 3060 Ti for development, prototyping, and inference workloads that fit within 8 GB of VRAM. Opt for a GPU with more memory if your models or batch sizes exceed 8 GB, or a smaller consumer GPU for basic display or minimal compute tasks.

RTX 3060 Ti vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 3060 Ti	8 GB	≈ 15.7 TFLOPS	200 W
NVIDIA RTX 3070	8 GB	≈ 19.8 TFLOPS	220 W	Details →
NVIDIA RTX 2070S	8 GB	≈ 8.8 TFLOPS	210 W	Details →
NVIDIA GTX 1080	8 GB	≈ 7.8 TFLOPS	130 W	Details →
NVIDIA RTX 2070	8 GB	≈ 7.7 TFLOPS	150 W	Details →

Guides for RTX 3060 Ti

Rent an RTX 3060 cheaply: a 12 GB starter GPU for learnersRent an RTX 3060 cheaply as a 12 GB starter GPU: what it runs, how it compares with the 3060 Ti and 4060 Ti, and how to find a low price near Vietnam.Jupyter notebook GPU for students: a low-cost cloud setupA Jupyter notebook GPU setup for students on a small budget: pick a small RTX card, use per-minute billing well, and save your notebooks before you destroy.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.

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RTX 3060 Ti cloud GPU: frequently asked questions

Rent the RTX 3060 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 3060 Ti All GPUs