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    Lightning AI

    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.

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    4 external reviews
    External reviews are from G2 .

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    Reviews (4)
    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.