Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.
Modal is an advanced serverless platform designed specifically for AI data and machine learning teams. It enables the running of generative AI models, large-scale batch jobs, job queues, and provides an environment where developers can bring their own code, while Modal handles the underlying infrastructure.
Getting started with Modal is simple. Users can sign up to receive $30 worth of compute credits each month. Once registered, developers can deploy applications quickly using their existing code and tailored container images. The system is designed for ease of use and rapid deployment, allowing teams to focus on development rather than infrastructure management.
Modal operates on a pay-as-you-go model, enabling users to scale their infrastructure without the burden of fixed costs. The pricing structure is as follows:
Special offers are available for early-stage startups and academic researchers, who can apply for up to $25,000 in free compute credits.
Yes, Modal is specifically designed to handle data-intensive applications, including those that require GPUs for computation. The platform allows scaling to hundreds of nodes seamlessly.
Modal boasts optimized cold start times that can load gigabytes of model weights in seconds, making it ideal for applications that require rapid responses.
No, Modal's serverless design means you do not have to deal with traditional server management or infrastructure concerns. Focus directly on your code and applications.
Modal implements robust security practices, including gVisor for runtime isolation and compliance with industry standards like SOC 2, ensuring that your applications and data remain secure.
Modal offers comprehensive documentation and an active community via Slack for users to get help and share experiences. Plus, user feedback is prioritized for continuous improvement.
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