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.

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.
  • 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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