GPU Cloud · NVIDIA · Ada Lovelace

Închiriați GPU NVIDIA RTX 4060 Ti pe oră

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.

Specificații

VRAM per GPU

16 GB

Arhitectură

NVIDIA Ada Lovelace

Capacitate de calcul

8.9

Calcul FP32

≈ 21.6 TFLOPS

Lățime de bandă a memoriei

≈ 236 GB/s

Limită de putere

165 W

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Configurații disponibile

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Pentru ce este potrivit RTX 4060 Ti

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.

Este GPU-ul potrivit pentru dumneavoastră?

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.

Comparați cu GPU-uri similare

GPUVRAM per GPUArhitecturăCalcul FP32De la / orăDetalii
RTX 4060 Ti16 GBAda Lovelace≈ 21.6 TFLOPS—
RTX A400016 GBAmpere≈ 20.6 TFLOPS—Detalii
RTX 5060 Ti16 GBBlackwell≈ 22.8 TFLOPS—Detalii
L422 GBAda Lovelace≈ 24.2 TFLOPS—Detalii

Întrebări frecvente

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.

Închiriați RTX 4060 Ti pe oră

Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.

Închiriați RTX 4060 Ti

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