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        • Managing Environment Variables of a Training Container - ModelArts

          Managing Environment Variables of a Training Container - ModelArts

          environment variables include: Path environment variables Environment variables of a distributed training job Nvidia Collective multi-GPU Communication Library (NCCL) environment variables OBS environment variables Environment variables of the pip source Environment variables of the API Gateway

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Train Models > Managing Model Training Jobs
        • Updating a Network Resource - ModelArts

          Updating a Network Resource - ModelArts

          Table 15 peerConnectionList Parameter Type Description peerVpcId String Indicates the ID of the peer VPC. peerSubnetId String ID of the peer subnet. defaultGateWay Boolean Whether the default gateway is enabled.

          Help > ModelArts > API Reference > Resource Management
        • Status Code - ModelArts

          Status Code - ModelArts

          The server acting as a gateway or proxy has received an invalid request from a remote server. 503 ServiceUnavailable The requested service is invalid.

          Help > ModelArts > API Reference > Common Parameters
        • Shared Responsibilities - ModelArts

          Shared Responsibilities - ModelArts

          This includes but is not limited to operating systems of virtual networks, virtual machine (VM) hosts and guest VMs, virtual firewalls, API Gateway and advanced security services, all types of cloud services, tenant data, identity accounts, and key management.

          Help > ModelArts > Service Overview > Security
        • Obtaining a Network Resource - ModelArts

          Obtaining a Network Resource - ModelArts

          Table 8 peerConnectionList Parameter Type Description peerVpcId String Indicates the ID of the peer VPC. peerSubnetId String ID of the peer subnet. defaultGateWay Boolean Whether the default gateway is enabled.

          Help > ModelArts > API Reference > Resource Management
        • Deleting a Network Resource - ModelArts

          Deleting a Network Resource - ModelArts

          Table 8 peerConnectionList Parameter Type Description peerVpcId String Indicates the ID of the peer VPC. peerSubnetId String ID of the peer subnet. defaultGateWay Boolean Whether the default gateway is enabled.

          Help > ModelArts > API Reference > Resource Management
        • Obtaining Network Resources - ModelArts

          Obtaining Network Resources - ModelArts

          Table 11 peerConnectionList Parameter Type Description peerVpcId String Indicates the ID of the peer VPC. peerSubnetId String ID of the peer subnet. defaultGateWay Boolean Whether the default gateway is enabled.

          Help > ModelArts > API Reference > Resource Management
        • Error Codes - ModelArts

          Error Codes - ModelArts

          Table 1 Error codes HTTP Status Code Error Code Error Message Description 5XX APIG.0203 "error_msg":"Backend timeout",error_code:APIG.0203 The service response times out. 500 ModelArts.4302 "error_code": "ModelArts.4302", "error_msg": "Gateway forwarding error because the access is

          Help > ModelArts > ModelArts Studio (MaaS) User Guide > ModelArts Studio (MaaS) API Call Specifications
        • Accessing a Real-Time Service Using Server-Sent Events - ModelArts

          Accessing a Real-Time Service Using Server-Sent Events - ModelArts

          Due to the limitation of API Gateway, the prediction duration of each request does not exceed 40 seconds. Calling an SSE Real-Time Service The SSE protocol itself does not introduce new authentication mechanisms; it relies on the same methods as HTTP requests.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Deploying a Model as Real-Time Inference Jobs > Accessing a Real-Time Service Using Different Protocols
        • Accessing a Real-Time Service Through AK/SK-based Authentication - ModelArts

          Accessing a Real-Time Service Through AK/SK-based Authentication - ModelArts

          API Gateway checks the time format and compares the time with the time when API Gateway receives the request. If the time difference exceeds 15 minutes, API Gateway will reject the request.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Deploying a Model as Real-Time Inference Jobs > Authentication Methods for Accessing Real-time Services
        • Accessing a Real-Time Service Through a VPC Channel - ModelArts

          Accessing a Real-Time Service Through a VPC Channel - ModelArts

          Due to the limitation of API Gateway, the prediction duration of each request does not exceed 40 seconds. Procedure To access a real-time service through a VPC channel, follow these steps: Obtain the ModelArts VPC endpoint service address.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Deploying a Model as Real-Time Inference Jobs > Accessing a Real-Time Service Through Different Channels
        • Testing the Deployed Service - ModelArts

          Testing the Deployed Service - ModelArts

          Due to the limitation of API Gateway, the duration of a single prediction cannot exceed 40s. The following image types are supported: png, psd, jpg, jpeg, bmp, gif, webp, psd, svg, and tiff.

          Help > ModelArts > Model Inference (To Be Offline) > Deploying an AI Application as a Service > Deploying AI Applications as Real-Time Services
        • Access Authenticated Using an AK/SK - ModelArts

          Access Authenticated Using an AK/SK - ModelArts

          API Gateway checks the time format and compares the time with the time when API Gateway receives the request. If the time difference exceeds 15 minutes, API Gateway will reject the request. Obtaining an AK/SK Pair If an AK/SK pair is already available, skip this step.

          Help > ModelArts > Model Inference (To Be Offline) > Deploying an AI Application as a Service > Deploying AI Applications as Real-Time Services > Accessing Real-Time Services > Authentication Mode
        • Error ModelArts.4503 Occurred in Real-Time Service Prediction - ModelArts

          Error ModelArts.4503 Occurred in Real-Time Service Prediction - ModelArts

          Long prediction time The following error is reported: {"error_code": "ModelArts.4503", "error_msg": "Failed to find backend service because response timed out, please confirm your service is able to process the request without timeout. "} Due to the limitation of API Gateway, the

          Help > ModelArts > Troubleshooting > Inference Deployment > Service Prediction
        • Accessing a Real-Time Service Using WebSocket - ModelArts

          Accessing a Real-Time Service Using WebSocket - ModelArts

          Due to the limitation of API Gateway, the prediction duration of each request does not exceed 40 seconds. Calling a WebSocket Real-Time Service WebSocket itself does not require additional authentication.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Deploying a Model as Real-Time Inference Jobs > Accessing a Real-Time Service Using Different Protocols
        • Enabling High-Speed Access to an Inference Service Through VPC Peering - ModelArts

          Enabling High-Speed Access to an Inference Service Through VPC Peering - ModelArts

          Due to the limitation of API Gateway, the prediction duration of each request does not exceed 40 seconds. Preparations Deploy a real-time service in a dedicated resource pool and ensure the service is running.

          Help > ModelArts > Best Practices > Model Inference
        • Accessing a Real-Time Service Through a VPC High-Speed Channel - ModelArts

          Accessing a Real-Time Service Through a VPC High-Speed Channel - ModelArts

          Due to the limitation of API Gateway, the prediction duration of each request does not exceed 40 seconds. Preparations Deploy a real-time service in a dedicated resource pool and ensure the service is running.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Deploying a Model as Real-Time Inference Jobs > Accessing a Real-Time Service Through Different Channels
        • Querying the dedicated resource pool Job List - ModelArts

          Querying the dedicated resource pool Job List - ModelArts

          Creating: The gateway is being created. Running Completed: completed Terminated: terminated Failed: The task fails to be executed. sort No String Sorting basis field.

          Help > ModelArts > API Reference > Resource Management
        • Specifications for Using a Custom Engine to Create a Model - ModelArts

          Specifications for Using a Custom Engine to Create a Model - ModelArts

          ModelArts registers an inference API with API Gateway for you to access the service.

          Help > ModelArts > ModelArts User Guide (Standard) > Using ModelArts Standard to Deploy Models for Inference and Prediction > Model Creation Specifications
        • Deleting a Resource Pool - ModelArts

          Deleting a Resource Pool - ModelArts

          Options: Creating: The gateway is being created. Upgrading: The upgrade is in progress. Running Abnormal: abnormal Status code: 404 Table 21 Response body parameters Parameter Type Description error_code String Error codes of ModelArts. error_msg String Error message.

          Help > ModelArts > API Reference > Resource Management
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