Building Scalable and Efficient AI Platforms on Kubernetes and GKE
Have you ever wondered how large organizations and high tech unicorns are able to build platforms on Kubernetes to run all kinds of workloads - web, stateless, stateful, batch, and even AI?
Kubernetes’ strengths in dynamic resource scheduling, automated orchestration and vibrant ecosystem of frameworks make it ideal for building AI/ML platforms. This becomes highly scalable when it combines the power of GKE hosted in the Cloud with disposable GPUs and TPUs.