How does the RTX 3060 laptop compare to the desktop RTX 3060?

Both are listed with 12 GB on Ampere. The laptop version shows about 12.9 TFLOPS and 299 GB/s at 80 W, versus 12 TFLOPS and 318 GB/s at 170 W for the desktop card, so they are close in practice.

Is a laptop GPU reliable for server workloads?

It runs the same CUDA software as desktop Ampere cards. The specs shown are those reported for the machines currently listed; real performance varies by machine, so check with a short hourly run.

8B models at 8-bit and 13B–14B models at 4-bit fit in 12 GB. Bandwidth of 299 GB/s keeps it suited to one or a few users.

How is it billed on Cloudj?

Per minute from your account balance while it runs, at the price locked when you deploy, plus bandwidth per GB. A stopped instance is charged for storage only. There are no monthly GPU plans.

GPU Cloud · NVIDIA · Ampere

Rent an NVIDIA RTX 3060 laptop GPU with 12 GB VRAM

Rent RTX 3060 laptop cloud GPU servers by the hour on Cloudj: 12 GB VRAM listed, NVIDIA Ampere and about 12.9 TFLOPS FP32 at a low 80 W power limit. It is an efficient Ampere option for developers and learners who want 12 GB for SDXL, 8B LLMs and small fine-tunes without needing desktop-class power. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent RTX 3060 laptop All GPUs

RTX 3060 laptop specifications

VRAM per GPU

12 GB

Architecture

NVIDIA Ampere

Compute capability

8.6

FP32 compute

≈ 12.9 TFLOPS

Memory bandwidth

≈ 299 GB/s

Power limit

80 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live RTX 3060 laptop configurations and prices

Out of stock right now

Browse available GPUs

What you can run on the RTX 3060 laptop cloud GPU

SDXL images

12 GB runs SDXL with a LoRA in ComfyUI; Flux works in quantized GGUF form.

8B models in Ollama

Run 8B LLMs at 8-bit or 13B–14B at 4-bit for testing chatbots and agents.

Efficient long jobs

An 80 W power limit suits steady overnight batches of transcription, embeddings or images.

Ampere development

Develop and test BF16 PyTorch code on compute capability 8.6 before scaling up.

Is the RTX 3060 laptop the right GPU for your workload?

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.

RTX 3060 laptop vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 3060 laptop	12 GB	≈ 12.9 TFLOPS	80 W
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →
NVIDIA GTX 1080	8 GB	≈ 7.8 TFLOPS	130 W	Details →
NVIDIA GTX 1070 Ti	8 GB	≈ 7.4 TFLOPS	180 W	Details →
NVIDIA GTX 1650	4 GB	≈ undefined TFLOPS	W	Details →

Guides for RTX 3060 laptop

GPU cloud Asia guide: Japan, Singapore, Korea and nearbyA practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS.GPU cloud by location: how to pick a country for your GPUHow GPU cloud by location works on Cloudj: filter a live list of machines by country code, decide between near users, lowest price or data rules.GPU cloud Europe: choosing a country for your AI workloadsA practical guide to GPU cloud Europe searches: filter by several country codes at once, weigh Western, Nordic and Eastern hosts, and plan where data lives.GPU cloud North America: renting GPUs in the US and CanadaA GPU cloud North America guide: how to search US and CA hosts, read the results, pick a VPS front end and decide when a US GPU suits users elsewhere.

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RTX 3060 laptop cloud GPU: frequently asked questions

Rent the RTX 3060 laptop cloud GPU by the hour

Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.

Rent RTX 3060 laptop All GPUs