Serverless Machine Learning Inference with KFServing

Explore serverless machine learning inference with KFServing in this conference talk. Learn how KFServing leverages KNative to simplify deployment of standard and custom ML models, enabling auto-scaling and scale-to-zero functionality. Discover the challenges of integrating serverless technology with ML inference, particularly in latency-critical environments. Gain insights into the evolution of inference stacks, GPU autoscaling challenges, and strategies to improve GPU utilization. Examine a real-world use case of personalized news monitoring and the proposed multi-model inference service solution. Delve into practical experiences of running a serverless inference platform, including techniques to reduce tail latency and cold start latency. Understand the importance of monitoring and alerting for control plane, access logs, and inference service metrics. Get a glimpse of the KFServing roadmap for 2020 and learn about the open working group driving its development.