云端智算

原名:modal

无服务器 GPU 云,用于机器学习任务和模型 API。

分类
开发提效
版本
v1.0.1
作者
弈韬(@ra1nzzz)
下载
2
收藏
0
发布
2026-08-25
更新
2026-10-02
TRACE 评分
3.4 / 5

内容概览

Guide to running ML workloads on Modal's serverless GPU cloud platform. Use Modal when: - Running GPU-intensive ML workloads without managing infrastructure - Deploying ML models as auto-scaling APIs - Running batch processing jobs (training, inference, data processing) - Need pay-per-second GPU pricing without idle costs - Prototyping ML applications quickly - Running scheduled jobs (cron-like workloads) Key features: - Serverless GPUs : T4, L4, A10G, L40S, A100, H100, H200, B200 on-demand - Python-native : Define infrastructure in Python code, no YAML - Auto-scaling : Scale to zero, scale to 100+ GPUs instantly - Sub-second cold starts : Rust-based infrastructure for fast container launches - Container caching : Image layers cached for rapid iteration - Web endpoints : Deploy functions as REST APIs with zero-downtime updates Use alternatives instead: - RunPod : For longer-running pods …

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