Rent NVIDIA RTX 4060 Ti GPU by the hour
The NVIDIA RTX 4060 Ti is a consumer-segment GPU based on the Ada Lovelace architecture with compute capability 8.9. It combines 16 GB of VRAM with about 21.6 TFLOPS of standard floating-point compute and a memory bandwidth of about 236 GB/s. Operating at a 165 W thermal design power, you can rent this GPU on ONIE with per-hour billing and full SSH access.
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 4060 Ti is good for
Quantized LLM Inference
Run small and medium language models that fit comfortably inside the 16 GB VRAM envelope using ready Ollama or vLLM templates.
Image Generation Workflows
Execute diffusion pipelines and custom node graphs in ComfyUI, using the Ada Lovelace architecture and 16 GB memory capacity for high-resolution outputs.
Model Prototyping and Development
Write, debug, and test machine learning code using pre-configured PyTorch/CUDA templates before scaling scripts to larger hardware.
Parameter-Efficient Fine-Tuning
Perform lightweight adapter training and LoRA experiments where the 16 GB memory capacity is prioritized over maximum memory bandwidth.
Is it the right GPU for you?
Pick the RTX 4060 Ti if your workload requires a 16 GB VRAM buffer for model weights on an Ada Lovelace card without needing heavy compute density. Choose a smaller GPU for basic scripts with minimal memory requirements, or step up to a larger consumer or datacenter GPU if your workflow is bottlenecked by the about 236 GB/s memory bandwidth and about 21.6 TFLOPS of compute.
Compare with similar GPUs
Frequently asked questions
Is the RTX 4060 Ti suitable for LLM inference and image generation?
Yes, its 16 GB of VRAM and compute capability 8.9 make it well-suited for hosting quantized language models via Ollama or vLLM, as well as running complex image generation workflows in ComfyUI. Because its memory bandwidth is about 236 GB/s, token generation speeds will be more modest than on higher-bandwidth cards, though the memory capacity allows larger checkpoints to load.
How does the 16 GB RTX 4060 Ti compare to adjacent GPUs?
This card offers the same 16 GB memory capacity as some higher-tier consumer models, allowing it to hold similarly sized models in memory. However, with about 21.6 TFLOPS of compute and about 236 GB/s of memory bandwidth at a 165 W power draw, it processes data more slowly than larger Ada Lovelace GPUs that feature wider memory buses and more compute cores.
How does billing work when renting the RTX 4060 Ti on ONIE?
Instances on ONIE use straightforward per-hour billing. You only pay for the time your GPU instance remains allocated to your account.
How do I connect to the instance and set up my software?
You can connect directly to your running instance via SSH access. To save setup time, ONIE provides ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Rent the RTX 4060 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent RTX 4060 Ti