算力服务

蓝耘算力云平台是一个现代化的、基于Kubernetes的云平台，基于行业领先的灵活的基础设施及大规模的GPU算力资源，为客户提供开放、高性能、高性价比的算力云服务，助力AI客户模型构建、训练和推理的业务全流程，以及教科研客户科研创新加速。旨在为科研工作者、工程师和创新者提供无与伦比的计算解决方案，其速度可比传统云服务提供商快35倍，成本降低30%。针对大模型训练场景，蓝耘算力云平台将运行环境、模型、训练框架等打包到容器中，并通过定制化Kubernetes容器编排工具进行容器的调度、管理和扩展，可以解决开发环境设置以及运维和管理问题，让算法工程师能够使用统一的环境模板进行开发，免除了初期大量的开发环境设置，以及在新的环境中管理新的算力资源的问题，为用户提供开箱即用的大模型训练、推理平台。     除此之外，针对大模型训练中遇到的容器进程死机、大规模分布式训练中GPU驱动丢失、GPU硬件损坏、甚至是计算节点宕机等难题，都做了定制化设计，为以上难题提供了自动化调度和强大的自愈能力，实现了更高的开发和训练效率以及整体资源利用率。

Lanyun Computing Power Cloud Platform is a modern, Kubernetes-based cloud platform. Built on industry-leading flexible infrastructure and large-scale GPU computing power resources, it provides customers with open, high-performance, cost-effective cloud computing power services. It supports the entire workflow of model building, training and inference for AI customers, and accelerates scientific research innovation for educational and research customers. It aims to provide unparalleled computing solutions for researchers, engineers and innovators, with speeds 35 times faster than traditional cloud service providers and 30% lower costs. For large model training scenarios, the Lanyun Computing Power Cloud Platform packages runtime environments, models, training frameworks and other components into containers, and uses customized Kubernetes container orchestration tools to schedule, manage and scale containers. This solves the problems of development environment setup, operation and maintenance management, allowing algorithm engineers to develop using unified environment templates, eliminating the need for extensive initial development environment setup and the hassle of managing new computing resources in new environments, and providing users with an out-of-the-box large model training and inference platform. In addition, customized designs have been made for difficulties encountered in large model training, such as container process crashes, GPU driver loss in large-scale distributed training, GPU hardware damage, and even computing node outages. It provides automated scheduling and powerful self-healing capabilities for these problems, achieving higher development and training efficiency and overall resource utilization.

搜集汇总

背景与挑战

背景概述

该数据集描述蓝耘算力云平台通过Kubernetes容器化技术提供高性能GPU算力服务，支持AI模型全流程开发与大模型训练，相比传统云服务速度提升35%且成本降低30%。平台具备开箱即用的环境模板和自动化故障处理能力，显著提升资源利用率与训练效率。