No setup. No waiting. Just learning.

Instant AI Labs Learn Anywhere

Get a full AI/ML environment — transformers, Jupyter, VS Code — running in seconds.Free 15-minute trial. No credit card required.

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15-min free trial|No card needed|Live in < 60 seconds
lab.infraone.ai/jupyter
train_model.ipynb
Run AllKernel: Python 3
[1]:
from
from transformers import pipeline
classifier = pipeline("text-classification")
[2]:
result = classifier("AI labs are awesome!")
print(result)
[{'label': 'POSITIVE', 'score': 0.9998}]
Kernel runningPython 3.11✓ transformers 4.x installed
Problem

"It Works on My Machine" Is Killing AI Learning and Research

AI learning is hindered by infrastructure. Setup wastes time, educators debug instead of teaching, and institutions face rising drop-off rates.

Learners waste time setting up environments instead of learning AI.
Educators spend more time debugging than teaching.
Siloed infrastructure hinders collaborative research.
Inconsistent configurations lead to 'works on my machine' issues.
Learners waste time setting up environments instead of learning AI.
Educators spend more time debugging than teaching.
Siloed infrastructure hinders collaborative research.
Inconsistent configurations lead to 'works on my machine' issues.
Learners waste time setting up environments instead of learning AI.
Educators spend more time debugging than teaching.
Siloed infrastructure hinders collaborative research.
Inconsistent configurations lead to 'works on my machine' issues.
Learners waste time setting up environments instead of learning AI.
Educators spend more time debugging than teaching.
Siloed infrastructure hinders collaborative research.
Inconsistent configurations lead to 'works on my machine' issues.
Hardware limitations slow down model training and iteration.
Managing GPU access and scheduling is a logistical nightmare.
Students drop out due to complex initial setup requirements.
Researchers duplicate effort configuring identical environments.
Hardware limitations slow down model training and iteration.
Managing GPU access and scheduling is a logistical nightmare.
Students drop out due to complex initial setup requirements.
Researchers duplicate effort configuring identical environments.
Hardware limitations slow down model training and iteration.
Managing GPU access and scheduling is a logistical nightmare.
Students drop out due to complex initial setup requirements.
Researchers duplicate effort configuring identical environments.
Hardware limitations slow down model training and iteration.
Managing GPU access and scheduling is a logistical nightmare.
Students drop out due to complex initial setup requirements.
Researchers duplicate effort configuring identical environments.
Lack of standardized pre-configured images wastes valuable hours.
IT departments struggle to support diverse tooling requests.
Security concerns delay the adoption of new AI frameworks.
Cost overruns from idle or improperly managed cloud resources.
Lack of standardized pre-configured images wastes valuable hours.
IT departments struggle to support diverse tooling requests.
Security concerns delay the adoption of new AI frameworks.
Cost overruns from idle or improperly managed cloud resources.
Lack of standardized pre-configured images wastes valuable hours.
IT departments struggle to support diverse tooling requests.
Security concerns delay the adoption of new AI frameworks.
Cost overruns from idle or improperly managed cloud resources.
Lack of standardized pre-configured images wastes valuable hours.
IT departments struggle to support diverse tooling requests.
Security concerns delay the adoption of new AI frameworks.
Cost overruns from idle or improperly managed cloud resources.
How it works

From zero to running model in 60 seconds

No installs. No config. Just open a browser and start building.

Step 01

Sign up in seconds

Create a free account with just your email. No credit card, no verification delays.

Step 02

Get your free lab

A full AI/ML environment spins up instantly — Jupyter, VS Code, transformers, PyTorch all pre-installed.

Step 03

Pay to keep going

After 15 minutes, pick a session length and pay via Razorpay. Your lab resumes — no reset, no lost work.

What's included

Everything you need to learn AI/ML

No setup tax. No dependency hell. Just open the lab and start building real things.

Live in under 60 seconds

No waiting for setup. Your full lab environment is ready the moment you click.

Preloaded notebooks

Start with "Train your first model" or "Run LLaMA in 2 mins" — ready to execute from day one.

Production-grade AI stack

Transformers, PyTorch, TensorFlow, Hugging Face, CUDA — everything pre-installed and configured.

Jupyter + VS Code

Full browser-based IDE. Write code, run cells, debug — no local install needed.

Your work is saved

Files persist across sessions via EFS. Pay, come back, pick up exactly where you left off.

Isolated environment

Each lab runs in a dedicated container. Crash-safe, isolated, and production-grade infrastructure.

Pricing

Pay only for the time you use

Start free. Pay as you go. No subscriptions, no surprises.

15 min
Free
trial

Every session includes

  • Full Jupyter + VS Code environment
  • Transformers, PyTorch, TensorFlow pre-installed
  • Persistent storage — files saved across sessions
  • Isolated container per user
  • Resume same lab after payment (no reset)
FAQ

Common questions

Everything you need to know before starting your first lab.

Your lab keeps running for a short grace period while you choose a session. Pick a duration (1–8 hours), pay via Razorpay, and you're back in the same lab instantly — no reset, no lost work.

Nothing at all. The lab runs entirely in your browser. All AI/ML libraries — transformers, PyTorch, TensorFlow, Hugging Face — are pre-installed and ready to use.

Yes. Each user gets persistent storage (EFS) mapped to their account. Your notebooks, datasets, and model checkpoints are saved and available in your next session.

You get a full Jupyter Notebook + VS Code environment with Python 3.11, transformers, PyTorch, TensorFlow, CUDA support, and common data science libraries all pre-configured.

Yes. The lab includes everything needed to download and run open-source models. We have a preloaded notebook "Run LLaMA in 2 mins" to get you started immediately.

No subscription required. It's fully pay-as-you-go — you pay only for the session time you use. No hidden fees, no auto-renewals.

Still have questions?

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