GPU Cloud · NVIDIA · Ampere

Rent NVIDIA RTX 3060 Ti GPU by the hour

The NVIDIA RTX 3060 Ti is an Ampere-architecture consumer GPU with 8 GB of VRAM and compute capability 8.6. It delivers about 15.7 TFLOPS of single-precision compute and about 395 GB/s of memory bandwidth within a 200 W power envelope. On ONIE, you can rent this GPU with per-hour billing, SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.

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.

Available configurations

Live stock and prices, updated continuously. The final price is confirmed before you order.

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What the RTX 3060 Ti is good for

Compact Language Model Inference

Run quantized small language models using pre-configured Ollama or vLLM templates within the 8 GB VRAM limit.

Standard Image Generation

Generate images with ComfyUI workflows that fit comfortably into an 8 GB memory buffer.

PyTorch Prototyping and Debugging

Develop and test CUDA code on an Ampere GPU with compute capability 8.6 before scaling to larger hardware.

Lightweight Model Fine-Tuning

Execute parameter-efficient fine-tuning or train compact neural networks using about 15.7 TFLOPS of compute.

Is it the right GPU for you?

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.

Compare with similar GPUs

GPUVRAM per GPUArchitectureFP32 computeFrom / hourDetails
RTX 3060 Ti8 GBAmpere≈ 15.7 TFLOPS—
RTX 30708 GBAmpere≈ 19.8 TFLOPS—Details
RTX 2080 Ti11 GBTuring≈ 14.6 TFLOPS—Details
RTX 3060 laptop12 GBAmpere≈ 12.9 TFLOPS—Details

Frequently asked questions

Is the RTX 3060 Ti suitable for LLM inference and image generation?

With 8 GB of VRAM and about 395 GB/s of memory bandwidth, it handles compact, quantized language models and standard-resolution image generation workflows. Larger models or complex ComfyUI pipelines will require a GPU with a larger memory capacity.

How does the RTX 3060 Ti compare to adjacent GPUs?

As a consumer Ampere card with 8 GB of VRAM and about 15.7 TFLOPS of single-precision compute, it offers more compute than entry-level consumer cards while having less memory than higher-tier consumer or workstation GPUs. If your workload is memory-bound beyond 8 GB, consider stepping up to a card with more VRAM.

What software templates and access methods are included?

Rentals on ONIE include full SSH access to your instance. You can deploy immediately using ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.

How does billing work for the RTX 3060 Ti?

ONIE uses per-hour billing for all GPU instances. You only pay for the time your instance is active.

Rent the RTX 3060 Ti by the hour

Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.

Rent RTX 3060 Ti

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