Prenájom GPU NVIDIA RTX 3060 Ti po hodinách
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.
Špecifikácie
VRAM na jedno GPU
Architektúra
Výpočtová schopnosť
Výpočtový výkon FP32
Šírka pásma pamäte
Limit príkonu
Hodnoty uvádza poskytovateľ infraštruktúry pre aktuálne ponúkané stroje; skutočný výkon sa môže podľa stroja líšiť.
Dostupné konfigurácie
Aktuálna dostupnosť a ceny, priebežne aktualizované. Konečná cena sa potvrdí pred objednávkou.
Načítavajú sa aktuálne ceny…
Na čo sa RTX 3060 Ti hodí
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.
Je to pre vás správne GPU?
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.
Porovnajte s podobnými GPU
| GPU | VRAM na jedno GPU | Architektúra | Výpočtový výkon FP32 | Od / hodina | Podrobnosti |
|---|---|---|---|---|---|
| RTX 3060 Ti | 8 GB | Ampere | ≈ 15.7 TFLOPS | — | |
| RTX 3070 | 8 GB | Ampere | ≈ 19.8 TFLOPS | — | Podrobnosti |
| RTX 2080 Ti | 11 GB | Turing | ≈ 14.6 TFLOPS | — | Podrobnosti |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Podrobnosti |
Často kladené otázky
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.
Prenajmite si RTX 3060 Ti na hodiny
Vytvorte si účet, vyberte konfiguráciu a pripojte sa cez SSH. Fakturácia sa zastaví, keď GPU vymažete.
Prenajať RTX 3060 Ti