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NVIDIA's Run:AI AI workload and GPU orchestration platform is now available under the Apache-2.0 license as an open-source monorepo, including its control plane, cluster services, CLI, and MCP server for managing GPU resources on Kubernetes.
NVIDIA 将完整的 Run:ai 平台开源，作为 NVIDIA DSX AI Factory 平台的一部分，提供生产级 AI 工作负载与 GPU 编排能力，包括可独立采用的 KAI Scheduler、GPU Fractioning Operator、KAI Resource Management 和 Workload Map 四大组件。
Tahuna is an open-source AI training infrastructure designed for small teams to train models, run inference, orchestrate GPUs, and experiment with autonomous research, featuring reproducible runs and tools like Hillclimb.
A developer built a pipeline where an RL-trained AI agent creates and submits RL training jobs for small models, rewarding the agent for better performance. The project is fully open-sourced and demonstrates transfer to held-out tasks.
TransformerLab is an open-source platform that orchestrates GPUs across clouds and provides pre-built templates for AI training and evaluation workflows like LoRA, DPO, and MMLU.
The DataLab team is orchestrating AI models across thousands of GPUs to process approximately one billion pages this week, highlighting significant large-scale document processing capabilities.
Developer explores how to abstract GPU workloads so they can run across multiple GPU providers without provider-specific configuration, leaning toward separating workload definition from infrastructure binding.
Higgsfield is an open-source GPU orchestration and machine learning framework designed for fault-tolerant, scalable distributed training of large language models with billions to trillions of parameters.