Nathan Taber

Nathan Taber is a product manager who has helped define how modern cloud and AI infrastructure are built. At AWS, he was a founding member of the Amazon EKS team and helped define Kubernetes at AWS through work on EKS, Karpenter, and the broader OSS ecosystem. At NVIDIA he helps define GPU-accelerated Kubernetes and health-automation patterns for large-scale AI infrastructure, influencing how cloud providers and their customers run production GPU workloads reliably at scale.
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Posts by Nathan Taber

Data Center / Cloud

Manage Kubernetes Clusters for GPU Infrastructure with NVIDIA Kubernetes Engine

NVIDIA is announcing two open source projects for building and operating managed Kubernetes services on GPU infrastructure—NVIDIA Kubernetes Engine (NVKE) and... 9 MIN READ
Data Center / Cloud

AICR v1.0: Open, stable, and verifiable GPU cluster configuration

GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers,... 6 MIN READ
Data Center / Cloud

Validate Kubernetes for GPU Infrastructure with Layered, Reproducible Recipes

Every AI cluster running on Kubernetes requires a full software stack that works together, from low-level driver and kernel settings to high-level operator and... 5 MIN READ
Data Center / Cloud

Automate Kubernetes AI Cluster Health with NVSentinel

Kubernetes underpins a large portion of all AI workloads in production. Yet, maintaining GPU nodes and ensuring that applications are running, training jobs are... 7 MIN READ