Driving AI Innovation the Open Way

on YouTube ↗09m

" summary

Red Hat announces it rejoined Kubeflow and commits engineers to concrete pieces rather than vague goals: a model registry (over 40% of survey respondents flagged it as a gap), integration into OpenShift AI that bundles Kubeflow, and production components like KServe plus a forked Text-Generation-Inference to avoid licensing issues. Plans emphasize upstreaming downstream tech (Open Data Hub as an existing reference stack), measuring cost to serve GenAI at scale, and engineering toward P90 latency targets (150 ms) and long-term support.

AI-written summary · about

" related talks

• 05mAdvancing Cloud Native AI Innovation Through Open CollaborationYuan Tang · Cloud Native + Kubernetes AI Day NA 2024
• 44mEngaging the Kubeflow Community: Building an Enterprise-Ready AI/ML PlatformYuan Tang, Johnu George, Andreea Munteanu, Andrey Velichkevich, Ronen Dar · Cloud Native + Kubernetes AI Day Europe 2025
• 08mWelcome + Opening RemarksValentina Rodriguez Sosa, Andrey Velichkevich · Kubeflow Summit Europe 2025
• 17mEmpowering the Future of ML: Scaling the Kubeflow Community in 2026Amita Sharma, Gaurav Kamathe · DevConf.IN 2026
• 06mClosing Remarks: The Future of AIValentina Rodriguez Sosa · Kubeflow Summit NA 2025
• 42mAI – Addressing the Challenges of Today’s Data ScientistsJeff Reser, Alessandro Festa · All Things Open 2020
• 17mDevOps for Private AI: A Scalable Platform Using KubeflowMarco Cristofanilli · Incontro DevOps Italia 2025
• 27mAbhinav Joshi & Tushar Katarki, Red Hat | KubeCon + CloudNativeCon Europe 2020 – VirtualTushar Katarki, Abhinav Joshi · KubeCon + CloudNativeCon Europe 2020