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    Lightning AI

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    From the creators of PyTorch Lightning, the most advanced AI platform purpose-built for the Gen AI era. Use pre-built studios to jumpstart any use case. Code, prototype, train, and deploy AI apps, all in one place using the Lightning Studio.

    Overview

    Lightning AI is the most advanced end-to-end platform to build, train, and deploy any model, on your data, in your cloud or data center with the tools you love. Studio integrates your favorite ML tools into a single cohesive experience. It also eliminates the environment discrepancy between local code which runs on the cloud. This allows for seamless multi-node, scalable AI web apps, endpoints and more.

    Environment discrepancies burns weeks of development. Context switching between tools kills productivity. Iterations take hours. Debugging is slow. Laptops don't have a 1,000 GPUs or petabytes of storage. Lightning Studio brings a true paradigm shift to AI development and boosts productivity by 60% or more.

    • Highly intuitive, fully integrated AI platform for data-prep, model development, distributed training, and app deployment consistently governed and available for all your AI needs
    • Pre-built studios (https://lightning.ai/studios ) from our experts and the PyTorch ecosystem to jumpstart AI innovation. Deep learning expertise at your fingertips to unblock any issue
    • Enterprise-grade, secure, and scalable platform to power all your models in your AWS VPC - simple ML to massive LLMs

    Access powerful on-demand compute (A100s/H100s), multi-node training, serverless deployments, and more.

    Highlights

    • Unified: - Start in minutes, not weeks - Scale from CPU to GPU to 100s of machines at the click of a button - One platform across your cloud and on-premises - Collaborate, debug, and deploy from one interface"
    • Open: - Pre-built studios from the app gallery - Battle-tested for SOTA AI (LLMs, Diffusion, GNNs) - Open standards for easy integration with other tools - Extensible, buildable plugins to tailor to your needs
    • Enterprise-grade: - Data never leaves your account with BYOC - SLAs backed by deep learning experts - Fine-grained access control - Private networking

    Details

    Delivery method

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (2)

     Info
    Dimension
    Description
    Cost/month
    Teams Tier 1 Seat
    50 monthly credits per user, multi-node training, access to GPUs
    $140.00
    StartUp Package
    3 teams licenses and $8K usage credits; standard support
    $1,250.00

    Vendor refund policy

    No Refunds

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Please reach out to awsmp.support@lightning.ai  with any questions or for options on contract or pricing terms. Technical Support: For help setting up your account, connecting to data, or exploring the platform, please reach out to awsmp-onboarding-help@lightning.ai 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Ratings and reviews

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    4 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Shivam G.

    LightingAI :A platform to build AI Products Lightning fast

    Reviewed on Apr 20, 2025
    Review provided by G2
    What do you like best about the product?
    Minimal or No setup required: LightingAI helps developers in building ai products without any setup on their hardware .
    A whole lot of existing models : It has a lot of existing models to tune .A large variety of LLMs for ex :CodeLlama , Llama2 etc
    Easy to create models : We can easily create model from it with no code or very low code .
    What do you dislike about the product?
    limited storage in free tier: The free tier offers limited storage capacity for the users .
    What problems is the product solving and how is that benefiting you?
    It is making easy for us to develop AI models for our use .
    Low code to train models
    Banking

    Lightning AI review

    Reviewed on Apr 19, 2025
    Review provided by G2
    What do you like best about the product?
    Most Helpful Features:

    Project Templates & Componentization
    – Pre-built templates
    No Hardware Barrier for AI Work
    Distributed Training & Multi-GPU Support
    Integrated Dev Environment
    Workflow Automation
    Community & Open Source Tools

    Upslides of using Lightning AI:
    Smart Formatting in Excel
    PowerPoint Automation Tools
    Excel to PowerPoint/Word Link
    Library of Reusable Slides & Templates
    What do you dislike about the product?
    Lightning AI – Least Helpful Aspects
    few pain points:
    Credit System Can Be Limiting
    Studio Configuration Bugs
    Not Ideal for Beginners
    Startup Vibes
    Some Locked Features Behind Paywall


    Downslides-
    Pricing for Small Teams or Individuals more
    Even a time-saver like UpSlide has its moments of frustration:


    Can Feel Clunky at Times
    – lag or sluggish behavior in Excel or PowerPoint when UpSlide is running.

    Not Very Customizable
    – You get a structured workflow, but power users who want to tweak templates or automation logic might feel boxed in.

    Limited Outside Microsoft Office
    What problems is the product solving and how is that benefiting you?
    Solving AI/ML Infrastructure Bottlenecks
    Rakshit A.

    Best platform to train and deploy the AI models

    Reviewed on Apr 16, 2025
    Review provided by G2
    What do you like best about the product?
    I used the Lightning AI for finetuning one of the LLM models on the client data for a chatbot use case, the setting up of the virtual environment and installation is very easy and they have maintained proper documentation for this. And also deploying the models on their cloud and setting auto-scaling requires no coding.
    What do you dislike about the product?
    One issue I felt was that their customer support or community was very slow, I was facing some version issue, and when I asked them I got a reply after 4 days. The platform crashes often when kept for long training hours.
    What problems is the product solving and how is that benefiting you?
    It really helps to save my time, Instead of buying a GPU machine and writing the fine-tuning script from scratch including intallization the Lightning AI has many templates for fine-tuning and also for RAG applications in which all the code and models weight are already seted up. I used the already present fine-tuning script and tranied the model and also tested it there itself this all happens in few hours which really saves time.
    Ramanujam K.

    ai development within the cloud

    Reviewed on May 29, 2024
    Review provided by G2
    What do you like best about the product?
    i used lightning ai to build ai apps within the cloud ,used vs code,and other lot of ml related tools and softwares with in the web.,like jupyter notebook,easy to setup,i had run big big llms seamlessly without any hassle .
    What do you dislike about the product?
    there are some times where the configured studios were not opening after setup,again i have to reconfigure them again .
    What problems is the product solving and how is that benefiting you?
    i used this particularly to overcome the burden of running large language models(llms) locally.it is very easy to setup a studio of 16gb vram of 4cpus and 1 Gpu.made my ml learning journey very effective and productive.its basically all your vs code,jupityer notebooks running all together within your private cloud.
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