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MindIE Motor describes a request scheduling framework oriented to LLM prefill-decode disaggregation inference, which provides inference service capabilities through an open and scalable inference service platform architecture and connects to MindIE Motor to meet the high-performance inference requirements of LLMs. The MindIE Motor provides the following capabilities:

• PD disaggregation request scheduling: distributes external customer requests to the prefill/decode instance with the lowest load, achieving load balancing.
• Reliability, availability, and serviceability (RAS): enhances the reliability, availability, and serviceability of the prefill-decode disaggregation service.

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The following figure shows the interaction architecture of MindIE Motor and peripheral components.

Figure 1 MindIE Motor architecture[object Object][object Object]

MindIE Motor provides service scheduling and RAS capabilities for prefill-decode disaggregation inference. The key components and modules are described as follows:

• Coordinator: the entry point for inference requests. It handles high-concurrency requests, performs scheduling, management, and forwarding, serving as the primary data request gateway for the cluster.

  • Endpoint: external RESTful APIs, such as the OpenAI API.
  • Metrics: overall metrics of the PD disaggregation service, which are the summary of the metrics of the PD instances of the entire service.
  • Controller Monitor: receives instance status information synchronized by the Controller, such as the health status and faulty instances.
  • LoadBalancer: load balancing and scheduling.
  • RequestMonitor: monitors the request status, such as the request phase and request exceptions.

• Controller: implements service status management and control of all PD instances, PD identity management and decision-making, and RAS capabilities in a cluster. It is the status manager and decision-making brain of the entire cluster.

  • FaultManager: fault management module, which receives and handles reported faults, such as isolation, restart, and self-healing.
  • InsManager: instance manager, which allocates and adjusts PD instance identities.
  • CCAEReporter: reports O&M management information, such as PD instances and metrics.
  • InsMonitor: PD instance monitoring, including heartbeat and load.

• MindIE LLM: provides servicing inference capabilities for a single model service instance (P or D) and LLM acceleration features such as ContinuousBatching, PagedAttention, and speculative inference.

• ClusterD: high-level component of MindCluster, which is responsible for fault diagnosis and delivery of the global rank table (networking and device information required by the entire PD disaggregation service).

• CCAE: a visualized O&M platform that integrates computing, storage, and network resources.