NVIDIA 发布 AICR v1.0：开放、稳定且可验证的 GPU 集群配置
AICR v1.0: Open, stable, and verifiable GPU cluster configuration
NVIDIA 发布 AICR v1.0，一套面向 GPU 加速 Kubernetes 集群的开放、稳定且可验证的配置方案。GPU 加速 Kubernetes 集群依赖主机内核、GPU 驱动、容器运行时、网络、存储、operator 和工作负载框架等数十个组件，各组件发布周期不同，版本冲突往往在部署后才暴露。
GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers,...
GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers, container runtimes, networking, storage, operators, and workload frameworks. A configuration that works for one service, GPU generation, and Kubernetes release may silently fail for another, and tracing version conflicts after deployment is…
来源：NVIDIA Developer Blog · developer.nvidia.com