Accelerating AI with open source machine learning infrastructure
Canonical's MicroK8s and Charmed Kubeflow, running on Dell PowerEdge R7525 servers, and accelerated by NVIDIA NIM microservices, provide a streamlined path for deploying and managing machine learning workloads.
This architecture empowers data scientists and engineers, enabling faster iteration, seamless scalability, and robust security.
The collaboration between Canonical and NVIDIA ensures optimized software stack for NVIDIA-Certified Systems, delivering exceptional AI performance and reliability.