NVIDIA Workload Map 加速新 AI 框架支持
原标题：Support New AI Frameworks Faster Using NVIDIA Workload Map
AI 摘要
NVIDIA 发布 Workload Map（原 Karta），作为 DSX AI Factory 平台的一部分，以 Kubernetes CRD 加 Go 库的形式提供分布式工作负载的统一结构描述。它内置 JobSet、PyTorchJob、RayCluster、KServe、NVIDIA NIM、Dynamo 等框架的预置定义，使调度器与平台无需为每种框架单独编写适配器。KAI Scheduler 和 NVIDIA Run:ai 已使用该定义进行 gang 调度与工作负载管理，从而加快新 AI 框架的支持速度。
正文节选
NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source, modular software components built to support multi-tenant operations and scaling. Operating an AI factory requires a shared understanding of distributed workloads: their components, pod templates, replica counts, and status. On Kubernetes, each framework encodes that information differently. JobSet, LeaderWorkerSet, and other custom reso