Modal Auto Endpoints: Optimized inference you own
3 hours ago
- #Optimization
- #LLM Inference
- #AI Infrastructure
- Modal Auto Endpoints offer optimized LLM inference that users own, differing from traditional providers by exposing code, metrics, and not requiring sales contact.
- Built on Modal's AI infrastructure platform, it provides pay-as-you-use GPUs, global availability, low latency via Modal Servers, and autoscaling without capacity management.
- Features include high-performance inference with pre-tuned configurations, support for open models like GLM-5.2, and integration of techniques like speculative decoding (e.g., DFlash) for speed.
- Provides engine-level observability with detailed metrics (server and inference), dashboards for performance monitoring, and automated responses to traffic spikes.
- Designed for automation, with future goals including autoinference, autospec, autodistill, and autoresearch to continually optimize inference services.