AIOS

AIOS是博云专为AI应用推出的企业级一站式先进算力管理平台，屏蔽底层异构算力差异，面向大规模分布式计算，计算、网络、存储、调度等基础能力全面增强，实现AI应用开发、训练、推理的全生命周期覆盖，为AI应用提供稳定、高效、极简的底层支撑能力，为开发者提供高效开发训练工具，为企业提升算力资源利用率实现降本增效。博云AIOS的价值体现在：1、覆盖深度学习业务全流程，加快模型从研发到上线速度。2、快速部署训练环境并启动训练任务，提高研发效率3、支持数据集统一管理，提升数据标注效率4、支持多种建模方式，方便算法工程师快速构建复杂模型5、训练过程可视化，掌握训练进度及质量6、动态分配 GPU 资源，充分利用资源，提高资源利用率7、全面的集群监控管理，实时掌握 CPU/GPU 资源使用情况及运行状态技术优势（1）支持大模型全生命周期管理，支持模型从数据准备、算法开发、模型训练、在线推理的全过程管理。支持数据本地化管理并对接私有存储系统；支持数据协同标注；支持超参自动调整等可以显著提升算法工程师的效率。（2）全面兼容英伟达GPU；支持国产GPU算力；统一GPU监控。（3）环境快速就绪，分钟级搭建开发环境（4）轻松调试，支持多种在线IDE（5）开箱即用，快速构建AI模型，简单高效（6）大规模弹性能力，小规模起步，轻松扩展至海量（7）海量并发，已验证10000+核并行计算能力（8）GPU池化，支持多种使用方式，包括独占、切分和复用；（9）轻松上手，贴合使用习惯、过程可视化管理（10）利用率高，灵活的资源分配和释放（11）高效运维，完善的监控、日志和审计能力

AIOS is an enterprise-grade, one-stop advanced computing power management platform specially developed by Boyun for AI applications. It shields the disparities between underlying heterogeneous computing resources, targets large-scale distributed computing scenarios, and comprehensively enhances basic capabilities including computing, networking, storage, and scheduling. It covers the entire lifecycle of AI application development, training, and inference, providing stable, efficient and minimalist underlying support for AI applications, offering efficient development and training tools for developers, and helping enterprises improve computing resource utilization to achieve cost reduction and efficiency improvement.

The value of Boyun AIOS is reflected in:
1. Covering the entire deep learning business workflow, accelerating the speed from model R&D to deployment.
2. Quickly deploying training environments and launching training tasks to improve R&D efficiency.
3. Supporting unified dataset management and improving data annotation efficiency.
4. Supporting multiple modeling methods, enabling algorithm engineers to quickly build complex models.
5. Visualizing the training process to master training progress and quality.
6. Dynamically allocating GPU resources to make full use of resources and improve resource utilization.
7. Providing comprehensive cluster monitoring and management, enabling real-time awareness of CPU/GPU resource usage and operating status.

Technical Advantages:
1. Supporting the full lifecycle management of large models, covering the entire process from data preparation, algorithm development, model training to online inference. It supports localized data management and integration with private storage systems; supports collaborative data annotation; and supports automatic hyperparameter tuning, which can significantly improve the efficiency of algorithm engineers.
2. Fully compatible with NVIDIA GPUs; supports domestic GPU computing power; provides unified GPU monitoring.
3. Rapid environment provisioning, capable of building development environments within minutes.
4. Easy debugging, supporting multiple online IDEs.
5. Out-of-the-box, enabling rapid construction of AI models with simplicity and efficiency.
6. Large-scale elastic capabilities, starting from small scale and easily expanding to massive deployments.
7. Massive concurrency, with verified parallel computing capability of over 10,000 cores.
8. GPU pooling, supporting multiple usage modes including exclusive use, partitioning and reuse.
9. Easy to get started, fitting user usage habits and featuring visualized process management.
10. High resource utilization, with flexible resource allocation and release.
11. Efficient operation and maintenance, with comprehensive monitoring, logging and auditing capabilities.

搜集汇总

背景与挑战

背景概述

AIOS数据集介绍了博云推出的企业级一站式先进算力管理平台，该平台旨在屏蔽底层异构算力差异，全面覆盖AI应用从开发、训练到推理的全生命周期，为开发者提供高效工具并帮助企业提升资源利用率。其核心价值包括加速模型研发上线、支持数据集统一管理、实现训练过程可视化以及动态分配GPU资源，从而显著提高研发效率和降低成本。技术优势涵盖大模型全生命周期管理、兼容英伟达及国产GPU、分钟级环境搭建、弹性扩展能力以及完善的监控运维，确保平台稳定、高效且易于使用。