Modal Serverless Gpu
技能 已验证 活跃Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
To enable users to run ML workloads on-demand with GPU access without managing infrastructure, by leveraging Modal's serverless platform for deployment and batch processing.
功能
- Serverless GPUs on-demand (T4, A10G, A100, H100, etc.)
- Python-native infrastructure definition
- Auto-scaling for ML workloads
- Deploying ML models as REST APIs
- Running batch processing jobs with automatic scaling
使用场景
- Running GPU-intensive ML workloads without managing infrastructure
- Deploying ML models as auto-scaling APIs
- Running batch processing jobs (training, inference, data processing)
- Prototyping ML applications quickly
非目标
- Using alternatives like RunPod for longer-running pods with persistent state
- Using Lambda Labs for reserved GPU instances
- Using SkyPilot for multi-cloud orchestration and cost optimization
- Using Kubernetes for complex multi-service architectures
安装
请先添加 Marketplace
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skills质量评分
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