NVIDIA 发布 AICR v1.0：开放、稳定、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，用于解决 GPU 加速 Kubernetes 集群跨数十个组件版本兼容问题。这些组件包括主机内核、GPU 驱动、容器运行时、网络、存储、operator 和工作负载框架，各自有独立发布周期。同一配置可能对某个服务、GPU 代际和 Kubernetes 版本有效，却在另一环境静默失败。
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 Technical Blog · developer.nvidia.com