Baige heterogeneous computing platform AIHC

Baige heterogeneous computing platform is a high-performance cloud native AI computing platform for large-scale in-depth learning. It provides comprehensive cluster operation and maintenance support and task life-cycle management for model algorithm experts and operation and maintenance experts. It also has advanced functions such as training/reasoning acceleration, fault tolerance, intelligent fault diagnosis, etc. The effective training duration can reach more than 98%, greatly improving the efficiency of computing power use, Helping enterprises transform their business in the era of big model.

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  • Product architecture
  • Product Functions
  • Application scenarios
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Why choose Baige heterogeneous computing platform AIHC

Simple, efficient and stable one-stop heterogeneous computing platform

Strong performance

Baige provides AI acceleration suite for users to support IO preprocessing optimization, communication efficiency optimization, video memory utilization optimization and model operator optimization of large model training and reasoning scenarios, which can greatly improve the performance and efficiency of distributed training and reasoning.

Easy to use

Support training, reasoning, end-to-end whole process tabulation operation, built-in observable large scale, one key performance test tool, visual parameter adjustment tool, make deep learning easier and easier to use.

Stable and reliable

Support fault tolerance, automatic isolation of node faults, automatic recovery of training operation faults, and effective training time up to more than 98%.

Intelligent and efficient

Through the optimized infrastructure scheme, the environment building time is shortened from days to minutes, and the one-stop training and reasoning infrastructure platform is efficiently built.

Overview of product architecture and comprehensive understanding of AIHC

 Overview of product architecture and comprehensive understanding of AIHC

Comprehensive display, in-depth understanding of product functions

  • Cluster management

    queue management
    It provides convenient and easy-to-use queue management operations. You can use resources from different queues to process workloads of different services.
    Node management
    Provides comprehensive node management capabilities to help you manage nodes more easily.
    Monitoring operation and maintenance
    Built in monitoring market and preset abundant AI monitoring indicators provide you with the most accurate resource monitoring data to help you make timely and accurate decisions.
  • Training management

    Task submission
    Help you submit tasks more conveniently and quickly, and easily create your AI model training assignments.
    Mission observable
    It provides multi-dimensional task monitoring indicators to view the task monitoring market in one click.
    Visual parameter adjustment
    Provide training effect visualization tools and tabulated parameter adjustment functions to deal with various environmental businesses.
  • Reasoning management

    Reasoning deployment
    Support rapid deployment of model instances and provide reasoning acceleration capability.
    Online test
    Test and evaluate the model to verify its performance and accuracy.
  • One click diagnosis

    RDMA Test
    It provides a bandwidth testing tool for RDMA networks to evaluate the performance of cluster networks.
    NCCL Test
    Provide performance test based on NCCL communication library to test the performance and correctness of NCCL when communicating between different devices.

Full coverage of application scenarios, Baige helps business success

 Online education
Online education
 Development, training and reasoning in scenarios such as intelligent marking, writing guidance and document Q&A
 Marketing Advertising
Marketing Advertising
 Driverless
Driverless
 biotechnology
biotechnology

Cloud Intelligence Open Class

Phase I
Phase II
Phase III
Phase IV
 Phase I

Course theme

Cloud native AI resource scheduling and AI workflow engine design sharing

Course time

16:00-17:00, December 8, 2022

Live highlights

Understand the resource scheduling methods of cloud native AI in scenarios such as single machine single card, multi machine multi card, and multi machine multi card.

Understand the architecture and details of AI workflow engine PaddleFlow to connect the underlying resources and upper business, and improve the efficiency of AI engineering.

Documentation and learning

Related products

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High performance and low-cost heterogeneous computing platform, the best choice for enterprise cloud intelligent innovation

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