As AI adoption accelerates, enterprises need more than cloud and containers, they need a complete lifecycle support architecture: data ingestion, model training, inference, and application integration.
In this interview in Taiwan, Vincent Caldeira, APAC CTO of Red Hat highlights:
- Enterprises want the freedom to run AI anywhere, whether private, public, or virtualised cloud.
- By keeping things open, companies can pick the AI models, GPUs, and environments that work best for them while staying portable.
- OpenShift gives developers a home for cloud-native apps, while RHEL 10 adds new levels of security and AI-readiness, including post-quantum protection.
- With changes in traditional virtualization, more businesses are turning to OpenShift as an open source alternative.
- From data prep to model deployment, OpenShift AI now streamlines the whole process.
Together, these innovations create the building blocks for secure, scalable, and future-ready AI in APAC and beyond. Learn more: https://bit.ly/4m2OQYh
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