Deploy ML models serverless with GPUs

Deploy ML workloads to Modal serverless GPU endpoints

Deploying inference-only ML models without managing containers or servers; pay-per-invocation.

• · Python function (trained model, inference logic)
• · GPU type required

• · HTTPS endpoint URL
• · invocation method (REST/webhook)

• · modal SDK
• · containerization (implicit)

Modal account with GPU quota, function packaged as Python module

• · cold start latency (spin-up time)
• · timeout on long inference
• · GPU memory exceeded

• · serverless cost model explained
• · cold-start time quantified
• · GPU endpoint example provided