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GPU Compute Service

GPU Compute Service

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Managing HPC clusters
HPC cluster overview
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HPC cluster overview
What is an HPC cluster​
A High Performance Computing (HPC) Cluster is a clustered computing environment designed for large-scale computational tasks. It typically comprises a large number of compute nodes interconnected via a high-speed RDMA (Remote Direct Memory Access) network, which work together to handle complex computational tasks. An HPC cluster can provide powerful computing capabilities, large memory, high-speed storage, and a high-speed network to meet the requirements of compute-intensive, data-intensive, or combined workloads.​
In HPC clusters, compute tasks are assigned to compute nodes for parallel processing. A compute node is a single compute unit in the cluster, typically a server or computer, responsible for executing specific compute tasks. This enables full utilization of the computing capabilities of multiple nodes, accelerating computations and improving efficiency.​
You can use the HPC cluster feature provided by the platform to logically isolate HPC-optimized instances (compute nodes). Instances within the same cluster are interconnected through the RDMA network, while instances in different clusters are isolated from each other on the RDMA network.​
Business features​
  • Powerful computing capability: An HPC cluster composed of a large number of compute nodes provides powerful compute resources for large-scale and complex compute tasks.​
  • Efficiency: In an HPC cluster, computing tasks can be completed efficiently via parallel computing and distributed processing, thereby enhancing work efficiency.​
  • Supported large memory and high-speed storage: This helps handling large amounts of data and high-speed data transmission.​
  • Scalability: Compute nodes can be flexibly added or deleted based on your needs. This helps handling compute tasks of different scales.​
  • Wide applicability: Scientific computing, machine learning, data analytics and other scenarios.​
Applicable scenarios​
HPC clusters are typically used to handle tasks that require a large amount of computing resources and high-speed data transfer. For example, scientific computing, engineering simulation, weather forecasting, financial analysis, and artificial intelligence training.​
Limits​
HPC-optimized products are only available for purchase and use by authenticated enterprise accounts. For the detailed certification procedure, see Enterprise real-name authentication.​
Related documents​
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Feature​
Document​
Compute nodes that can be added to HPC clusters​
Creating HPC-optimized instances and adding them to HPC clusters​
Creating HPC clusters when no HPC cluster is available​
How to add compute nodes to HPC clusters​
Direct access to vePFS file storage via RDMA in HPC clusters​
This feature is in Beta. If you need a trial, please contact your account manager.​
Deleting HPC clusters that are no longer in use​
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Last updated: 2025.12.03 16:28:03