Najemite GPU NVIDIA RTX 3060 laptop na uro
The NVIDIA RTX 3060 laptop is a consumer-segment GPU built on the Ampere architecture with compute capability 8.6. It provides 12 GB of VRAM, about 12.9 TFLOPS of single-precision compute, and about 299 GB/s of memory bandwidth within an 80 W power envelope. On ONIE, you can rent this GPU with per-hour billing, SSH access, and ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifikacije
VRAM na GPU
Arhitektura
Računska zmogljivost
Računska zmogljivost FP32
Pasovna širina pomnilnika
Omejitev moči
Vrednosti, ki jih za trenutno navedene stroje sporoča ponudnik infrastrukture; dejanska zmogljivost se razlikuje glede na stroj.
Razpoložljive konfiguracije
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Za kaj je RTX 3060 laptop primeren
Compact LLM Inference
Run quantized language models that fit within 12 GB of VRAM using pre-configured Ollama or vLLM templates.
Image Generation Workflows
Generate images and test diffusion pipelines using the ComfyUI template on an Ampere consumer GPU.
PyTorch Prototyping and Debugging
Develop and test machine learning code over SSH with the PyTorch/CUDA template and compute capability 8.6 support.
Lightweight Model Fine-Tuning
Perform parameter-efficient fine-tuning on small datasets where 12 GB of memory and about 299 GB/s of bandwidth are sufficient.
Ali je to pravi GPU za vas?
Choose the RTX 3060 laptop for entry-level development, testing, and inference workloads that fit into 12 GB of VRAM without needing high power draw. Opt for a larger desktop or datacenter GPU if you need higher memory bandwidth or more VRAM for large models, or a smaller GPU if your workload requires minimal graphics memory.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Podrobnosti |
| Titan Xp | 12 GB | Pascal | ≈ 11.7 TFLOPS | — | Podrobnosti |
| RTX 2080 Ti | 11 GB | Turing | ≈ 14.6 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
Is the RTX 3060 laptop GPU suitable for LLM inference and image generation?
Yes, its 12 GB of VRAM and compute capability 8.6 make it suitable for running smaller quantized language models via Ollama or vLLM, as well as standard diffusion models in ComfyUI. Larger models that exceed 12 GB will require a GPU with a higher memory capacity.
How does this laptop variant compare to desktop GPUs?
As a consumer laptop GPU with an 80 W power limit, it offers about 12.9 TFLOPS of single-precision compute and about 299 GB/s of memory bandwidth, which is lower than full-power desktop or workstation cards. However, its 12 GB VRAM capacity still provides ample room for memory-bound entry-level workloads.
How does billing work on ONIE?
Instances are billed on a per-hour basis, allowing you to pay only for the time your RTX 3060 laptop instance is active.
How do I connect and start my workload?
You can connect directly to your instance via SSH access. ONIE also provides ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI so you can start working immediately.
Najamite RTX 3060 laptop po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite RTX 3060 laptop