New research shows a tuned recommendation engine can boost clickโ€‘through rates by 10% while cutting inference cost. The paper dives into modelโ€‘serving tricks, optimization for large language models, and deployment efficiency for production AI. Openโ€‘source practitioners will love the practical benchmarks. #RecommendationEngine #InferenceOptimization #ModelServing #ClickThroughRate

๐Ÿ”— https://aidailypost.com/news/recommendation-engine-lifts-click-through-10-efficiency-needed

Googleโ€™s new Ironwood TPU is purposeโ€‘built for inference, delivering ultraโ€‘low latency and highโ€‘volume model serving with a novel interโ€‘chip interconnect. As the industry pivots to edge AI, this hardware could reshape how we deploy models. Dive into the specs and why it matters for openโ€‘source AI projects. #IronwoodTPU #AIInference #LowLatencyAI #ModelServing

๐Ÿ”— https://aidailypost.com/news/ironwood-tpu-purposebuilt-hardware-inference-industry-shifts-focus

KServe joins CNCF as an incubating project

KServe, the leading standardized AI inference platform on Kubernetes, has been accepted as an incubating project by the Cloud Native Computing Foundation (CNCF).

๐Ÿ™Œ Huge thanks to everyone who contributed to this journey from writing code, reviewing docs, to supporting governance and community growth.

Stay tuned! Weโ€™ll be publishing a detailed announcement blog soon with more insights on what this means for users, contributors, and the future of model serving on Kubernetes.

For now: thank you to the community for making this possible. ๐Ÿ’™

#KServe #CNCF #OpenSource #ModelServing #AI #MLOps #CloudNative #Kubeflow #Kubernetes #k8s Kubeflow

This is a big step for the KServe community, and weโ€™re excited about the road ahead in making cloud-native model serving more accessible and production-ready for everyone. #KServe #CNCF #OpenSource #ModelServing #AI #MLOps #CloudNative @cncf.io @kubernetes.io @kubefloworg.bsky.social

A huge thank you to Kevin Wang and Faseela K from the CNCF TOC for all the hard work. Itโ€™s been such a pleasure collaborating with you both on this milestone. Thank you to all the community members who have contributed!

This is a big step for the KServe community, and weโ€™re excited about the road ahead in making cloud-native model serving more accessible and production-ready for everyone.

#KServe #CNCF #OpenSource #ModelServing #AI #MLOps #CloudNative CNCF Kubernetes Kubeflow

Big thanks to everyone contributing code, reviews, and ideas โ€” this integration is shaping up to be a game-changer for ๐—ž๐˜‚๐—ฏ๐—ฒ๐—ฟ๐—ป๐—ฒ๐˜๐—ฒ๐˜€-๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—Ÿ๐—Ÿ๐—  ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ป๐—ด. Stay tuned for next release! #KServe #llmd #GenerativeAI #MLOps #Kubernetes #ModelServing #AIInfrastructure

Big thanks to everyone contributing code, reviews, and ideas โ€” this integration is shaping up to be a game-changer for ๐—ž๐˜‚๐—ฏ๐—ฒ๐—ฟ๐—ป๐—ฒ๐˜๐—ฒ๐˜€-๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—Ÿ๐—Ÿ๐—  ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ป๐—ด. Stay tuned for next release!

#KServe #llmd #GenerativeAI #MLOps #Kubernetes #ModelServing #AIInfrastructure

State of the Model Serving Communities - August 2025

Most recent updates from several AI/ML model inference communities that our team at Red Hat AI is contributing to.

InferenceOps