Modal Auto Endpoints: Optimized inference you own
dev_tools
Modal announced Auto Endpoints, a production-ready LLM inference service that lets teams deploy open models with a single command. Unlike traditional providers, Modal doesn't hide the code, metrics, or pricing behind sales barriers. You can spin up frontier models like GLM five point two with one CLI command — the service is OpenAI API-compatible, handles autoscaling on its own, and includes engine-level observability that shows you exactly what's happening: token latency, GPU temperature, speculative decoding acceptance rates, and more. The infrastructure builds on Modal's serverless GPU platform and uses advanced optimization techniques like speculative decoding with DFlash drafters and SGLang. According to Modal, the long-term vision is fully automated inference engineering — AI systems that configure, patch, and optimize your endpoints without manual tuning. It's available now at modal.com/endpoints.
Source: https://modal.com/blog/introducing-auto-endpoints
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