Modal

Funded

High-performance AI infrastructure with instant autoscaling and elastic GPU scaling

About Modal

Modal provides a high-performance AI infrastructure platform designed specifically for AI and machine learning teams seeking to accelerate deployment and scaling of AI workloads. It enables developers to run inference, training, and batch processing with sub-second cold starts and instant autoscaling, offering a developer experience that feels local. The platform supports elastic GPU scaling across multiple clouds without quotas or reservations, allowing teams to scale back to zero when not in use.

Built for enterprises, Modal offers a programmable infrastructure defined entirely in code, eliminating the need for complex configuration files and ensuring environment and hardware requirements remain synchronized. Its unified observability features provide integrated logging and full visibility into every function, container, and workload, enhancing operational control. Modal’s AI-native runtime and globally distributed storage layer optimize performance for heavy AI workloads, making it suitable for large-scale inference, training, and batch jobs. The platform supports multi-cloud capacity pooling with intelligent scheduling, reducing infrastructure management overhead and enabling teams to focus on building robust, scalable AI applications.

Key Capabilities

✓Sub-second cold starts and instant autoscaling
✓Elastic GPU scaling across multi-cloud environments
✓Programmable infrastructure defined entirely in code
✓Unified observability with integrated logging and monitoring
✓AI-native runtime optimized for heavy AI workloads

Integrations

Cloud storage bucketsMLOps toolsTelemetry vendors

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .