Updated March 10, 2026
Modal is a serverless cloud platform for running AI workloads with zero infrastructure management. Developers write Python code and Modal handles containerization, GPU provisioning, scaling, and scheduling automatically. The platform supports GPU-accelerated functions, scheduled jobs, web endpoints, and batch processing, making it particularly popular for ML pipelines, model serving, and data processing tasks.
vLLM is an open-source inference and serving engine for LLMs, built for high-throughput serving on GPUs with an OpenAI-compatible API server.
Core capabilities each platform advertises.
vLLMWhat each tool does well, and the limitations to keep in mind.
Pros
Cons
vLLMPros
Cons
Choose Modal if you wantChoose if you want
Choose vLLM if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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