Scripts2026年4月8日·1 分钟阅读

Modal — Serverless GPU Cloud for AI Workloads

Run GPU workloads in the cloud with Python decorators. Modal provides serverless A100/H100 GPUs for model inference, fine-tuning, and batch jobs with zero infrastructure.

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What is Modal?

A serverless GPU cloud platform. Python decorators define cloud functions, with automatic GPU allocation, scaling, and billing.

TL;DR: Serverless GPU cloud. Python decorator → cloud A100/H100. Auto-scaling, per-second billing, no Docker/K8s. Simplest path for inference / fine-tuning / batch.

Best for: ML engineers who need cloud GPUs but don't want to manage infrastructure.

Core Features

1. GPU Selection — T4/A10G/A100/H100, multi-GPU supported

2. No Dockerfile — container defined in Python code

3. Web Endpoints — deploy an API in one line

4. Per-Second Billing — no minimum spend

FAQ

Q: Cold start? A: ~30s first time; warm containers < 1s.

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来源与感谢

modal.com — Serverless GPU cloud

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