
Fast, low-cost AI inference with custom LPU silicon

Released 8d ago
Free
Serverless cloud platform for scalable AI inference&training
Modal provides serverless compute for AI and data teams with instant autoscaling from 0 to 1000+ GPUs across global infrastructure.

Modal is a serverless compute platform that lets developers run Python code on cloud infrastructure without managing servers, with automatic scaling and GPU support for AI workloads.
Developers define functions and workloads in Python code using Modal's SDK, deploy to the cloud with a single command, and automatically get scaling, GPU allocation, and monitoring without infrastructure management.
Modal is a serverless cloud platform designed for AI and data-intensive workloads. It enables developers to run CPU, GPU, and data processing tasks at scale with sub-second cold starts and instant autoscaling. The platform supports inference for LLMs and multi-modal models, training with single or multi-node configurations, and sandboxes for secure code execution. Modal handles global GPU infrastructure allocation, providing access to H100s, A100s, and A10Gs on demand with automated fleet health management. Security features include SOC2 and HIPAA compliance, battle-tested isolation, and data residency controls. The platform offers integrated observability with logging and monitoring for production-ready deployments.
Modal supports CPU, GPU (including H100, A100, A10G), and memory-intensive workloads with configurable hardware specifications.
Modal automatically scales from zero to 1000+ GPUs instantly based on workload demand, with no capacity planning or commitments required.
Modal is SOC2 and HIPAA compliant with battle-tested isolation and data residency controls for enterprise workloads.
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