Lightning AI

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Simplify's Rating
Why Lightning AI is rated
A
Rated A on Competitive Edge
Rated A+ on Growth Potential
Rated B on Rating Differentiation

Industries

AI & Machine Learning

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$105.6M

Headquarters

New York City, New York

Founded

2015

Overview

Lightning AI provides a platform for developing artificial intelligence applications, covering the entire process from initial idea to final deployment. The platform is accessible through web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs. Users can work on CPUs for coding, debug on GPUs, and scale their models across multiple nodes without needing extensive setup. The service operates on a subscription model, offering access to its cloud-based AI Studio, which includes features like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to enhance the development and optimization of AI models. Lightning AI aims to support both enterprises and individual developers by providing a user-friendly environment for robust AI development.

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Funded Recently
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Simplify's Take

What believers are saying

  • Recent $50M funding round indicates strong market confidence in Lightning AI.
  • Thunder compiler speeds up AI model training, reducing costs significantly.
  • Collaboration with AWS enhances AI model performance using cutting-edge hardware.

What critics are saying

  • Open-source models like Dolly and Alpaca challenge Lightning AI's proprietary offerings.
  • Rapid AI development may outpace Lightning AI's innovation capabilities.
  • Dependence on AWS could affect cost structure if service terms change.

What makes Lightning AI unique

  • Lightning AI offers a comprehensive AI lifecycle platform from ideation to deployment.
  • The platform's integration with AWS Marketplace simplifies enterprise procurement processes.
  • PyTorch Lightning's popularity supports Lightning AI's open-source framework approach.

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Funding

Total Funding

$105.6M

Above

Industry Average

Funded Over

3 Rounds

Notable Investors:
Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Flexible Paid Time Off

Paid Family Leave

Phone/Internet Stipend

Home Office Stipend

Professional Development Budget

Gym Membership

Mental Health Support

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

4%

2 year growth

-6%
Pulse 2.0
Nov 21st, 2024
Lightning AI Secures $50M for Growth

Lightning AI, creator of the PyTorch Lightning framework, secured $50 million in funding from Cisco Investments, J.P. Morgan, K5 Global, and NVIDIA, totaling $103 million. With 240,000 users across 2,000 organizations, Lightning AI offers cloud-based development environments that simplify AI development. The platform integrates with popular ML tools and provides flexible pricing, including a free tier. It helps enterprises reduce infrastructure setup time and streamline AI deployment.

Business Wire
May 9th, 2024
Lightning Ai Launches Its Studio Platform In Aws Marketplace

NEW YORK--(BUSINESS WIRE)--Lightning AI, the company behind PyTorch Lightning, with over 100 million downloads, announced today that its all-in-one, web-based AI development platform Lightning AI Studio is now available in AWS Marketplace, a digital catalog with thousands of software listings. AWS Marketplace offers a seamless way to leverage pre-approved budgets and increase business performance through a single view across customers’ IT spend, simplifying procurement processes with flexible options like private pricing and consolidated billing through AWS. Studio, an enterprise-grade suite of tools, fundamentally re-architects how developers work by abstracting away every non-core activity and providing a single interface for all AI development needs. Users can:jumpstart the development of AI products with pre-built templates,scale from CPU to GPU to multi-node, distributed large-scale processing across as many machines as they need at the click of a button, andleverage natively integrated tools or build their own and deploy anywhere, among many other features.Studio also offers seamless integration with the Lightning open source stack that includes PyTorch Lightning, and allows developers to train, fine tune, deploy the latest generative AI models across multiple GPUs at maximum efficiency. “Lightning AI Studio is the most advanced all-in-one platform to build, train, and deploy any AI model on your data, in your Cloud or data center, with all the tools you love,” said William Falcon, founder and CEO of Lightning AI. “By accessing Studio in AWS Marketplace, customers will realize greater productivity and faster development times for their AI apps.”

EnterpriseAI
Mar 28th, 2024
Lightning AI Today Announces 'Thunder' to Speed Up AI Model Training

Lightning AI today announced the availability of Thunder, which it hails as a new and powerful source-to-source compiler for PyTorch.

Business Wire
Mar 28th, 2024
Lightning Ai Announces Availability Of Thunder; A Powerful Source-To-Source Compiler For Pytorch That Speeds Up Training And Serving Generative Ai Models Across Multiple Gpus, Built With Support From Nvidia

NEW YORK--(BUSINESS WIRE)--Following the company’s presentation at the NVIDIA GTC AI conference, Lightning AI, the company behind PyTorch Lightning, which has over 100 million downloads, today announced the availability of Thunder, a new and powerful source-to-source compiler for PyTorch designed for training and serving the latest generative AI models across multiple GPUs at maximum efficiency. Thunder is the culmination of two years of research on the next generation of deep learning compilers, built with support from NVIDIA. Large model training can cost billions of dollars today because of the number of GPUs and the length of time it takes to train these models. Lack of high-performance optimization and profiling tools puts this scale of training out of reach for developers who don’t have the resources of a large technology company. Even at its early stage, Thunder achieves up to a 40% speed-up for training large LLMs, compared to unoptimized code in real-world scenarios. These speed-ups save weeks of training and lower training costs proportionally

Business Wire
Feb 21st, 2024
Lightning Ai Signs Strategic Collaboration Agreement With Aws To Offer Enterprises Optimized Performance For Building And Deploying Ai Products

NEW YORK--(BUSINESS WIRE)--Lightning AI, the creator of PyTorch Lightning and Lightning Studios, announced today it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services, Inc. (AWS). The SCA allows Lightning AI to leverage AWS compute services to power generative artificial intelligence (AI) services and to provide first-class support for Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances, powered by AWS Trainium accelerators, directly within the platform. By collaborating with AWS, Lightning AI is able to offer a powerful, enterprise-grade, cloud-based platform for building and deploying AI products. Last month, the company announced Lightning Studios, which are cloud-based virtual environments where AI researchers and developers can code on the browser or from their laptops to develop and ship AI together. Developers today, string together 20 platforms to monitor, train, serve, prep data, host apps, etc

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