Introducing Modal Auto Endpoints: Optimized inference you actually own | Modal Blog
Summary
Modal is launching Auto Endpoints, a self-serve way to deploy and own production-grade LLM inference. The product gives users control over code, metrics, autoscaling, and regional deployment instead of hiding the serving stack behind a managed API. It also adds Modal Servers, which reduce queueing and support ultra-low-latency HTTP routing. The launch targets teams that want better performance, observability, and easier optimization for open-model inference workloads.
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