Powering your AI/ML workloads with Kubernetes

The growing size and complexity of applications has pushed organizations the world over to start using Kubernetes.

And the exponential rise in generative AI and large language models is accelerating that trend as more businesses look to the open source containerisation system to run and scale complex and compute-intensive machine learning platforms. A popular choice is Google Kubernetes Engine , the most scalable and fully automated Kubernetes service out there according to its developers. It can run everything from microservices to databases and the most demanding generative AI workloads, accelerating and efficiently scaling your AI/ML workloads with GPU time sharing and Cloud TPUs.- on 12 March at 10.30am GMT/5.30am ET/2.30am PT.

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