The AI lab your laptop cannot become.

Launch a full Ubuntu GPU cloud PC for CUDA, PyTorch, Jupyter, VS Code, ComfyUI, local LLM experiments, and ML prototyping — with persistent SSD storage and browser/native access.

Choose Your AI WorkstationView AI Workstation Pricing
SensePC AI Workstation panel showing a glowing AI GPU core, Repo, Dataset, GPU, Checkpoint, Run workflow, training telemetry, model memory, persistent SSD workspace, terminal, VS Code, Jupyter, and CUDA

Workspace

Full cloud PC

A persistent developer machine

GPU class

NVIDIA L4

24 GB VRAM AI workstation plans

Control

Stop compute

Keep the workspace on SSD

Use cases

CUDA · LLM · ComfyUI

Prototype, test, generate

What is an AI developer cloud PC?

An AI developer cloud PC is a remote GPU-powered workstation you can access from your browser or native client. Instead of buying a local GPU machine, you can launch a cloud computer with Linux, NVIDIA GPU acceleration, persistent SSD storage, and developer tools for machine learning, generative AI, notebooks, model testing, and GPU-heavy workflows.

Your laptop was not built for this.

Local machines are great until your model needs more VRAM, your fans sound like a server rack, or one experiment blocks your entire day. SensePC gives AI builders a dedicated cloud workstation for the messy middle of AI development.

Local GPU limits

VRAM fills up fast when testing LLMs, diffusion models, embeddings, or multimodal workflows on a personal laptop.

Setup friction

Drivers, CUDA versions, Python environments, notebooks, and UI tools can slow down the real AI development work.

Expensive upgrades

A serious AI workstation can cost thousands upfront and still become outdated as model requirements grow.

No clean workspace

AI builders need a persistent place to clone repos, save datasets, keep checkpoints, stop, and return later.

One cloud workstation. Your full AI workflow.

Use SensePC like a real development machine — not just a temporary notebook. Open your IDE, run notebooks, install packages, manage datasets, test models, and keep your environment available for the next session.

GPU acceleration

CUDA + NVIDIA GPU

Run GPU-accelerated AI workloads on dedicated NVIDIA-backed SensePC configurations.

ML frameworks

PyTorch / TensorFlow

Build, test, run notebooks, and experiment with models using familiar machine learning frameworks.

Experimentation

JupyterLab notebooks

Run experiments, visualizations, dataset exploration, and model tests from your cloud workstation.

Developer workflow

VS Code + Terminal

Clone repositories, install packages, debug scripts, run jobs, and work like a normal developer.

Generative AI

ComfyUI / Stable Diffusion

Use GPU-powered creative AI tools without turning your local machine into the bottleneck.

Workspace continuity

Persistent SSD storage

Keep datasets, checkpoints, repos, scripts, and installed tooling ready for your next session.

GPU workstations for every stage of AI development.

Choose an AI workstation and open the AI Dev Builder directly. Each plan starts with Ubuntu 24.04 LTS, hourly billing, persistent SSD storage, and a separate AI development flow from gaming builds.

AI starter
Best start

AI Dev Core

AI prototyping without buying a GPU rig.

Best for

CUDA learning, notebooks, smaller models, ComfyUI testing, class projects, and AI prototyping.

GPU

NVIDIA L4

VRAM

24 GB VRAM

Compute

4 vCPU · 16 GB RAM

Storage

220 GB starting SSD

Infrastructure

Ubuntu 24.04 LTS (GUI)

Linux-first AI developer desktop
Good fit for notebooks and starter GPU workflows
Best entry point for CUDA, PyTorch, and model tooling
Not promo eligible due to higher GPU cost
Build AI Dev Core

Opens AI Dev Builder with Ubuntu 24.04 LTS, hourly billing, and 220 GB starting SSD.

★ Recommended
RecommendedPick

AI Dev Pro

More CPU and memory for serious AI builders.

Best for

LLM experiments, larger notebooks, diffusion workflows, heavier ComfyUI pipelines, and advanced ML testing.

GPU

NVIDIA L4

VRAM

24 GB VRAM

Compute

8 vCPU · 32 GB RAM

Storage

Persistent SSD workspace

Infrastructure

Ubuntu 24.04 LTS (GUI)

Recommended balance of power and cost
More CPU and RAM headroom than AI Dev Core
Better for larger notebooks, tools, and parallel workflows
Separate from gaming configurations
Build AI Dev Pro

Opens AI Dev Builder with Ubuntu 24.04 LTS, hourly billing, and 220 GB starting SSD.

★ Max g6 size
Max compute

AI Dev Ultra

Largest current AI workstation size for advanced experiments.

Best for

Advanced AI labs, heavier development environments, larger datasets, parallel tools, and demanding GPU workflows.

GPU

NVIDIA L4

VRAM

24 GB VRAM

Compute

16 vCPU · 64 GB RAM

Storage

Persistent SSD workspace

Infrastructure

Ubuntu 24.04 LTS (GUI)

Largest current AI Dev size in the builder
Same NVIDIA L4 GPU with more CPU and RAM around it
Stronger fit for advanced AI labs and power users
Launch only when capacity and region are available
Build AI Dev Ultra

Opens AI Dev Builder with Ubuntu 24.04 LTS, hourly billing, and 220 GB starting SSD.

Included with every AI workstation

Ubuntu-first desktop access, NVIDIA L4 GPU-backed compute, 220 GB starting SSD, and a configuration path kept separate from gaming plans.

Need help choosing?

Not sure which AI workstation fits your workload? Compare options before you build.

Help Me Choose

From idea to model run, without rebuilding your environment every time.

SensePC is designed for the work between notebooks and production: coding, testing, training, generating, saving, stopping, and returning later.

Active workflow

Start from a clean cloud workstation.

Open your AI developer PC, clone your repo, install packages, and begin building from a full Linux desktop instead of a short-lived sandbox.

example command
git clone repo && code .
Prototype
Experiment
Train / Fine-tune
Generate
Stop & return

Not sure which GPU you need? Ask SensePilot.

Tell SensePilot what you are building — a chatbot, image model, CUDA project, notebook workflow, Stable Diffusion setup, or LLM experiment — and it can guide you toward the right SensePC configuration before you build.

SensePilot

AI configuration guidance

“I want to run ComfyUI and Stable Diffusion.”

“I need a PyTorch GPU machine for a class project.”

“I want to test a local LLM on a cloud NVIDIA L4 GPU.”

“I need an Ubuntu CUDA workstation for development.”

Recommendation output: plan fit, 24 GB VRAM fit check, OS, storage, and when to choose Core vs Pro vs Ultra.

Built for serious AI work, not disposable experiments.

SensePC gives each user a persistent cloud workstation with storage, account-based access, and region-aware provisioning. Your AI workspace is not tied to one laptop, one desk, or one expensive hardware purchase.

Isolated cloud PC

Each user works inside their own SensePC session instead of sharing a local machine or fragile laptop setup.

Persistent storage

Keep code, notebooks, datasets, and checkpoints on attached SSD storage between sessions.

Controlled access

Access your AI workstation through your SensePC account from supported browser or native client workflows.

Stop compute anytime

Pause the expensive compute layer when the GPU is not actively needed while preserving your workspace storage.

More than a GPU pod.

SensePC gives AI builders a full cloud workstation with desktop access, saved files, IDEs, terminals, notebooks, and UI tools in one persistent place.

Full desktop experience

Local

Yes

GPU pods

Usually container/SSH

Notebooks

No

SensePC

Yes — full cloud PC

Browser access

Local

No

GPU pods

Dashboard/SSH

Notebooks

Yes

SensePC

Yes

Native remote client

Local

No

GPU pods

Usually no

Notebooks

No

SensePC

Yes

Persistent workstation feel

Local

Yes

GPU pods

Requires setup

Notebooks

Limited

SensePC

Yes

GUI AI tools

Local

Yes

GPU pods

Manual setup

Notebooks

Limited

SensePC

Yes

No hardware purchase

Local

No

GPU pods

Yes

Notebooks

Yes

SensePC

Yes

Best fit

Local

Daily heavy AI lab

GPU pods

Infra-heavy AI teams

Notebooks

Quick experiments

SensePC

AI builders who want a real cloud PC

Questions before you launch.

Quick answers for GPU workloads, AI tools, saved workspaces, billing, and cloud workstation comparisons.

Answer pocket

13 questions

SensePC for AI developers is a GPU-powered cloud PC for machine learning, generative AI, CUDA development, notebooks, and remote development workflows. It gives developers a full cloud workstation instead of only a temporary notebook or container.

Build AI faster.

Launch a GPU cloud PC for models, agents, notebooks, and dev tools. Keep your workspace saved, stop compute when you are done, and return anytime.

Choose AI WorkstationRead AI Developer FAQ

GPU-ready AI workloads

Persistent dev environment

Browser + native access

SensePilot setup guidance