Rent NVIDIA RTX 5060 Ti GPU by the hour
The NVIDIA RTX 5060 Ti is a consumer GPU built on the Blackwell architecture with compute capability 12.0. It provides 16 GB of VRAM, about 22.8 TFLOPS of standard floating-point compute, and about 368 GB/s of memory bandwidth within a 180 W power envelope. You can rent this GPU on ONIE with per-hour billing, SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
Architecture
Compute capability
FP32 compute
Memory bandwidth
Power limit
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
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What the RTX 5060 Ti is good for
Local-Scale LLM Inference
Run quantized language models using Ollama or vLLM templates that fit comfortably within 16 GB of VRAM.
Generative Image Workflows
Deploy ComfyUI pipelines for image generation and diffusion tasks supported by the Blackwell architecture.
PyTorch Model Prototyping
Develop, test, and debug deep learning code on compute capability 12.0 hardware before scaling up.
Parameter-Efficient Fine-Tuning
Execute lightweight adapter training and fine-tuning jobs that operate within a 16 GB memory footprint.
Is it the right GPU for you?
The RTX 5060 Ti suits developers needing 16 GB of VRAM and Blackwell architecture features for moderate inference, image generation, and prototyping. Choose a smaller GPU for basic scripts with minimal memory requirements, or step up to a larger consumer or datacenter GPU when your workloads demand more VRAM or higher memory bandwidth than about 368 GB/s.
Compare with similar GPUs
Frequently asked questions
Is the RTX 5060 Ti suitable for LLM inference and fine-tuning?
With 16 GB of VRAM and about 368 GB/s of memory bandwidth, it handles small to medium quantized language models for inference via Ollama or vLLM, as well as lightweight adapter fine-tuning. Full fine-tuning of larger models requires a GPU with more memory.
How does the 16 GB RTX 5060 Ti compare to smaller or larger GPUs?
Its 16 GB of VRAM gives it more room for model weights and image batches than entry-level consumer cards with smaller memory buffers. However, higher-tier consumer or workstation GPUs offer greater compute throughput than about 22.8 TFLOPS and wider memory bandwidth for heavy training jobs.
What software environments are available when renting this GPU?
Instances on ONIE include full SSH access and pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI. The card supports CUDA compute capability 12.0 on the NVIDIA Blackwell architecture.
How does billing work for the RTX 5060 Ti on ONIE?
Usage is billed on a per-hour basis for the time your instance is active. You can connect via SSH or launch a ready template and stop the instance when your task is complete.
Rent the RTX 5060 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent RTX 5060 Ti