Modal is a high-performance serverless AI infrastructure platform that lets developers run models, sandbox and execute code, and autoscale workloads to hundreds of GPUs with minimal configuration.

Key Features:

• Serverless AI inference and large-scale batch processing with instant autoscaling
• Sub-second container starts via a custom Rust-based container stack
• Sandboxed code execution and zero-config hardware/container definitions for Python functions

Use Cases:

• Fine-tuning and training models without managing infrastructure
• High-volume batch processing (e.g., transcription, data pipelines)
• Building scalable AI applications and parallel GPU workloads

Benefits:

• Fast iteration and reduced latency due to ultra-fast container startup
• Cost-efficient pay-for-what-you-use pricing with granular GPU/CPU billing and free monthly credit
• Secure, governed execution via sandboxes and enterprise-grade support options