Lmst

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

🔗 https://aidailypost.com/news/recommendation-engine-lifts-click-through-10-efficiency-needed

Q*Satoshi (@AiXsatoshi)

14GB/s급 SSD로 업그레이드했지만 매번 수백 GB에 달하는 모델 로드에 시간이 걸려 성능 병목이 발생. 이를 해결하기 위해 RAID0 같은 스토리지 구성 변경을 고려 중이라는 실무적 하드웨어·딥러닝 개발 환경 관련 고민을 공유한 트윗이다.

https://x.com/AiXsatoshi/status/2017849975267594473

#ssd #storage #modelserving #hardware

Google’s new Ironwood TPU is purpose‑built for inference, delivering ultra‑low latency and high‑volume model serving with a novel inter‑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 open‑source AI projects. #IronwoodTPU #AIInference #LowLatencyAI #ModelServing

🔗 https://aidailypost.com/news/ironwood-tpu-purposebuilt-hardware-inference-industry-shifts-focus

KServe joins CNCF as an incubating project

https://www.redhat.com/en/blog/kserve-joins-cncf-incubating-project

#RedHat #Kubernetes #OpenShift #OpenShiftAI #RedHatAI #CNCF #KServe #Inference #ModelServing

💙 #KServe #CNCF #OpenSource #ModelServing #AI #MLOps #CloudNative #Kubeflow #Kubernetes #k8s @kubefloworg.bsky.social

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

Stay tuned! We’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. 💙

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

This is a big step for the KServe community, and we’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. It’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 we’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 — this integration is shaping up to be a game-changer for 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀-𝗻𝗮𝘁𝗶𝘃𝗲 𝗟𝗟𝗠 𝘀𝗲𝗿𝘃𝗶𝗻𝗴. Stay tuned for next release! #KServe #llmd #GenerativeAI #MLOps #Kubernetes #ModelServing #AIInfrastructure

Big thanks to everyone contributing code, reviews, and ideas — this integration is shaping up to be a game-changer for 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀-𝗻𝗮𝘁𝗶𝘃𝗲 𝗟𝗟𝗠 𝘀𝗲𝗿𝘃𝗶𝗻𝗴. Stay tuned for next release!

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