Ultimate AIライフサイクル管理 Solutions for Everyone

Discover all-in-one AIライフサイクル管理 tools that adapt to your needs. Reach new heights of productivity with ease.

AIライフサイクル管理

  • AI development platform for prototyping, training, and deployment.
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    What is Lightning AI?
    Lightning AI is a comprehensive platform that integrates your favorite machine learning tools into a cohesive interface. It supports the entire AI development lifecycle, including data preparation, model training, scaling, and deployment. Designed by the creators of PyTorch Lightning, this platform provides robust capabilities for collaborative coding, seamless prototyping, scalable training, and effortless serving of AI models. The cloud-based interface ensures zero setup and a smooth user experience.
    Lightning AI Core Features
    • Collaborative coding environment
    • Seamless prototyping
    • Scalable model training
    • Effortless model deployment
    • Zero setup cloud interface
    Lightning AI Pro & Cons

    The Cons

    The Pros

    Simplifies AI model development and scaling
    Supports robust experimentation and visualization
    Accelerates workflow for AI researchers and developers
    Lightning AI Pricing
    Has free planYES
    Free trial detailsFree tier includes 1 free active Studio with 15 free monthly credits equivalent to ~50 GPU hours; free active Studio runs 24/7 with 4-hour restarts, no credit card required
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Free

    0 USD
    • 15 monthly Lightning credits
    • 1 free active Studio, 4-hour restarts
    • Single GPU Studios (T4, L4, L40S)
    • Up to 2 concurrent GPUs
    • Unlimited background execution
    • 32 core CPU Studios
    • Persistent storage (50 GB limit)
    • Multiplayer live collaboration
    • Community support via Discord

    Pro

    30 USD
    • 360 annual Lightning credits included
    • 1 free active Studio, run 24/7
    • Multi-GPU Studios (T4, L4, L40S)
    • Single GPU A100, H100, H200s
    • Up to 6 concurrent GPUs
    • 64 core CPU Studios
    • Persistent storage (200 GB limit)
    • Distributed data prep (up to 4 machines)
    • Reserve machines for jobs
    • Community support via Discord

    Teams

    119 USD
    • 600 annual Lightning credits included
    • Full-node A100, H100, H200s
    • Multi-node training
    • Up to 12 concurrent GPUs
    • Use via AWS marketplace
    • 96 core CPU Studios
    • Persistent storage (2 TB limit)
    • Real-time cost controls
    • Community support via Discord

    Enterprise

    USD
    • Full-node B200s
    • Priority GPU Access (Lightning Cloud)
    • Unlimited concurrent GPUs
    • Use your cloud credits (AWS, GCP)
    • Deploy in your own VPC
    • Unlimited multi-node training
    • Role-based access controls
    • Enterprise AI Hub add-on
    • SOC 2 (type 2) compliance
    • SAML/SSO
    • Custom resource tagging
    • Bring your own images
    • 99.95% uptime SLA
    • Dedicated Slack support channel
    • Dedicated machine learning engineer
    Discount:Pro plan: 40% off ($30/month billed annually); Teams plan: 15% off ($119/user/month billed annually)
    For the latest prices, please visit: https://lightning.ai
  • Azure AI Foundry empowers users to create and manage AI models efficiently.
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    What is Azure AI Foundry?
    Azure AI Foundry offers a robust platform for developing AI solutions, allowing users to build custom AI models through a user-friendly interface. With features such as data connection, automated machine learning, and model deployment, it simplifies the entire AI development workflow. Users can harness the power of Azure's cloud services to scale applications and manage AI lifecycle efficiently.
  • ModelOp Center helps you govern, monitor, and manage all AI models enterprise-wide.
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    What is ModelOp?
    ModelOp Center is an advanced platform designed to govern, monitor, and manage AI models across the enterprise. This ModelOps software is essential for the orchestration of AI initiatives, including those involving generative AI and Large Language Models (LLMs). It ensures that all AI models operate efficiently, comply with regulatory standards, and deliver value across their lifecycle. Enterprises can leverage ModelOp Center to enhance the scalability, reliability, and compliance of their AI deployments.
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