Machine Learning Infrastructure

  • The cheapest way to self-host AI/ML with GPU cloud.
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    What is Thunder Compute?
    Thunder Compute provides a cost-effective GPU cloud platform enabling users to self-host AI/ML workloads. Utilizing virtualized GPUs hosted on AWS/GCP, it significantly reduces expenses by 80%. Perfect for AI/ML development, prototyping, and inference, Thunder Compute's quick setup and powerful hardware ensure users can execute their tasks efficiently and affordably.
    Thunder Compute Core Features
    • Instance templates
    • VS Code integration
    • CLI management
    Thunder Compute Pro & Cons

    The Pros

    Significantly lower GPU prices compared to AWS (up to 80% savings)
    Seamless integration with VS Code for native AI/ML development
    Flexible GPU instances with customizable specs, storage, and snapshots
    Simple setup process without need for SSH keys or CUDA installs
    Support for persistent environments for consistent development

    The Cons

    No public open-source code repository available
    Limited information on support for mobile or browser extensions
    Potential dependency on cloud infrastructure availability and network reliability
    Thunder Compute Pricing
    Has free planNo
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyHourly

    Details of Pricing Plan

    Tesla T4

    0.27 USD
    • 4 vCPUs / 32GB RAM (upgradeable)
    • U.S. Data Centers

    A100 (40GB)

    0.66 USD
    • 4 vCPUs / 32GB RAM (upgradeable)
    • U.S. Data Centers
    • Temporarily Unavailable

    A100 (80GB)

    0.78 USD
    • 4 vCPUs / 32GB RAM (upgradeable)
    • U.S. Data Centers

    H100

    1.47 USD
    • 4 vCPUs / 32GB RAM (upgradeable)
    • U.S. Data Centers
    • Coming soon
    For the latest prices, please visit: https://thundercompute.com/pricing
  • Modal is a high-performance serverless cloud platform for developers.
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    What is Modal?
    Modal is a next-generation serverless platform designed for AI, data science, and machine learning teams. It facilitates the running of generative AI models, large-scale batch jobs, job queues, and much more. With Modal, developers can bring their own code, run it in the cloud without concerning themselves with infrastructure, and scale production workloads efficiently using thousands of CPUs and GPUs. Modal provides an effortless setup and integration for a high-performance computational environment, helping teams to innovate and develop faster with lower costs.
  • Unified DevOps platform for LLM applications.
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    What is Keywords AI?
    Keywords AI is a comprehensive DevOps platform designed specifically for building, deploying, and monitoring large language model (LLM) applications. With only two lines of code, developers can easily integrate the platform to speed up the production process. Keywords AI optimizes performance by connecting your prompts to the best available models and providing insightful analytics. The platform also includes tools for dataset collection, fine-tuning models, and incident management to ensure high availability and optimized performance for all your AI products.
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Ultimate Machine Learning Infrastructure Solutions for Everyone

Discover all-in-one Machine Learning Infrastructure tools that adapt to your needs. Reach new heights of productivity with ease.