GPUs
Stop Treating Your Models Like Microservices
A few years ago, it felt like Kubernetes had become the universal answer to infrastructure problems. Teams wanted resiliency? Kubernetes. Faster deployments? Kubernetes. Scalability? Kubernetes again. Eventually, the industry stopped treating cloud-native ...
vCluster Adds Virtual Kubernetes Reference Architecture for GPUs
vCluster Labs has made available a reference architecture for incorporating graphical processor units (GPUs) running artificial intelligence (AI) workloads into virtual Kubernetes clusters. Company CEO Lukas Gentele said the Infrastructure Tenancy Platform ...
Evolving Kubernetes and GKE for Gen AI Inference
The combination of foundational improvements in open-source Kubernetes and powerful, managed solutions on GKE represents a significant leap forward for any organization working with generative AI ...
Rafay Extends Kubernetes Reach into the Realm of AI
Rafay Systems is making it simpler to build and deploy artificial intelligence (AI) applications on Kubernetes clusters by adding support for graphical processing units (GPUs) to its management platform ...
Anaconda Leverages Containers to Accelerate AI Development
Anaconda Inc. announced today it is leveraging Docker containers and Kubernetes clusters to accelerate the development of AI applications built and deployed using graphical processor units (GPUs) from NVIDIA. Previously, Anaconda added ...
