University
Lightning Studios serve as an ideal platform to organize and manage research efforts across a university. It can unify research groups, streamline spend, and equip researchers, lecturers, and students with reproducible and collaborative coding environments.
First time set up
One organization per lab, class
Create one Lightning AI organization per lab or class. This will allow each organization to manage its own work, budget and more.
Create an organization for each lab or class.
Contact our team
Contact our team to group all labs and sub-organizations under one university umbrella.

Add organization admins
For each lab or class created, invite the professors or principal investigators to become admins in that organization.
Invite staff as organization admins.
Advantages
Lightning AI is designed to scale AI across the largest enterprises and universities.
Unified platform
As AI scales inside a university, complexity and new needs arise. These new needs are patched by integrating a new tool to solve a specialized part of the ML lifecycle. Soon, you have a complex platform that is expensive and difficult to maintain. Most universities do not have the engineering resources to maintain such a system and do not want to pay for dozens of unrelated tools.
Lightning AI is the first end-to-end AI platform built for enterprise and university scale. All systems are unified in a single Studio interface.

Instant access to Students
Students can log into Lightning AI with their .edu emails and automatically access university cloud resources through a simple user interface. Every year, millions of dollars are lost to unclaimed cloud credits or inefficient use of cloud resources.
Custom cloud deployments
Lightning AI connects your different compute backends into a single, unified system. Run on AWS, GCP and connect your on-prem clusters as well. universities usually have multiple on-prem clusters that can be connected and accessed through a single, unified interface.

Public and private templates
Create internal collections of Studio templates to reduce time to build, share models, datasets and reproducible AI systems. As a member of the Lightning AI community, universities have access to publish and use high-performance templates created by the AI community.
Start a new project from a Studio template.
Use Studio templates from the public or private organization galleries.
Create university libraries
Universities can create libraries of their high-performance Studios to enable the public access to the high-performance models and AI systems produced by universities.
Zero infra setup
Get started in minutes. No need to have expensive dev ops resources or dedicated cloud teams. ML engineers and developers can start Studios without messing with docker, kubernetes, AWS or any other cloud headaches.

Was this page helpful?
Thanks for the feedback.