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BUILD, TRAIN & DEPLOY WITH
EASE

Skip infrastructure pain. Poridhi AI Studio lets you launch hands-on cloud labs, train models, and deploy instantly all in one place.

WHY PORIDHI AI

No More Tool Chaos or Cloud Headaches.

/demo-user/user/ vision-lab / public-demo // lab /main.py
GPUCPUMemory
EXPLORER
EXP
πŸ“ pytorch
πŸ“ pyt
πŸ“„ main.py
πŸ“„ model.py
πŸ“„ requirements.txt
import torchif torch.cuda.is_available(): print('GPU:', torch.cuda.get_device_name(0)) print('CUDA:', torch.version.cuda) print('Memory:', torch.cuda.get_device_properties(0).total_memory // (1024**3), 'GB')else: print('No GPU found.')
$ python main.py
GPU: NVIDIA RTX 4500
CUDA: 12.4
Memory: 23.53 GB
PyTorch: 2.3.0
Device: cuda
CPU4
RAMR32GB
DISKD1TB
GPURTX
🧠

BUILT FOR DEVELOPERS & EDUCATORS

Quickly prototype models or create interactive coursesβ€”all in one flexible platform built for collaboration.

πŸš€

ONE PLATFORM, ALL WORKFLOWS

Go from notebooks to full apps without switching tools. Train, test, and deploy in one seamless flow.

⚑

BUILT-IN CLOUD POWER

Instantly launch GPU environments, scale effortlessly, and skip the DevOps setup.

πŸ”’

PRIVATE BY DEFAULT

Your work stays secure with private-by-default projects and team-based access controls.

HOW IT WORKS

Your AI Workflow in 3 Simple Steps

1

START A LAB

Kick off your project by choosing from ready-made templates or uploading your own code.

2

RUN IN THE CLOUD

Your lab runs in powerful, scalable cloud environments β€” no setup needed.

3

DEPLOY OR SHARE

Once your lab is running, deploy it instantly. Share it as a public or private link.

EXPLORE ALL OUR LABS

For The Easiest Way To Start, Get A Deep Dive Into Our 50+ Ready Labs

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AI LAB TODAY

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