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.

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.

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.

Deploifai is a software platform designed to manage machine learning infrastructure and deployment. It automates cloud infrastructure tasks so that teams can concentrate on building AI models rather than managing servers. The platform provides a seamless experience from development through deployment, ensuring that the right software tools are available from the start, which accelerates the development process and enhances productivity.