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(Optional) GPU Quota Configurable only when the cluster contains GPU nodes and the CCE AI Suite (NVIDIA GPU) add-on has been installed. Do not use: No GPU will be used. GPU card: The GPU is dedicated for the container.
Options: 0: OBS bucket (default value) 1: GaussDB(DWS) 2: DLI 3: RDS 4: MRS 5: AI Gallery 6: Inference service schema_maps Array of SchemaMap objects Schema mapping information corresponding to the table data. source_info SourceInfo object Information required for importing a table
Commercial use Memory-optimized ECSs 4 GPU-accelerated PI2 ECSs PI2 ECSs use NVIDIA Tesla T4 GPUs dedicated for real-time AI inference. These ECSs use the T4 INT8 calculator for up to 130 TOPS of INT8 computing. The PI2 ECSs can also be used for light-workload training.
As the operator data struct of the offline model supported by the Ascend AI processor, it stores operator information.
Commercial use Memory-optimized ECSs 4 GPU-accelerated PI2 ECSs PI2 ECSs use NVIDIA Tesla T4 GPUs dedicated for real-time AI inference. These ECSs use the T4 INT8 calculator for up to 130 TOPS of INT8 computing. The PI2 ECSs can also be used for light-workload training.
As the operator data struct of the offline model supported by the Ascend AI processor, it stores operator information.
If AI accelerators are used in the resource pool, the GPU and NPU monitoring information is also displayed. Figure 7 Viewing resource views Viewing Tags You can add tags to a resource pool for quick search. On the resource pool details page, click Tags.
As the operator data struct of the offline model supported by the Ascend AI processor, it stores operator information.
As the operator data struct of the offline model supported by the Ascend AI processor, it stores operator information.
<break time="200ms"/>I'm a MetaStudio AI virtual avatar. </emotion>I'll show you<phoneme ph="liao3">how</phoneme>MetaStudio works. </speak> Only the <break> and <phoneme> tags take effect for virtual avatar video production.
Random scheduling to idle servers VPC and AI parameter plane networks can be configured. This API is an asynchronous API. The instance creation and startup are not completed immediately. You can call the ShowInstanceStatus API to check whether the instance statuses are running.
In the navigation pane of the ModelArts console, choose your desired type of AI dedicated resource pools and create one. You should not be able to create a new resource pool if the ModelArts CommonOperations permission has taken effect. Choose any other service in Service List.
The POSIX and HDFS of OBS allow you to mount buckets to HPC nodes, as well as big data and AI applications. This enables fast data reads and writes and efficient storage for high-performance computing.
metrics Cloud Search Service SYS.ES Key: cluster_id Value: CSS cluster CSS metrics Data Lake Insight SYS.DLI Key: queue_id Value: queue instance Key: flink_job_id Value: Flink job DLI metrics Data Ingestion Service SYS.DAYU Key: stream_id Value: real-time data ingestion DIS metrics AI
The platform supports both manual annotation and AI pre-annotation. You can choose an appropriate annotation method based on your needs. The quality of data labeling directly impacts the training effectiveness and accuracy of the model.
If this parameter is not set, the cluster_id parameter of the service level is used. pool_name No String Resource pool ID of the elastic cluster in the AI dedicated resource pool used for service deployment.
For details about the custom script examples (including inference code examples) of mainstream AI engines, see Examples of Custom Scripts.
By default, AI ransomware protection is disabled. Currently, only the Windows operating system is involved.
(Optional) GPU Quota Configurable only when the cluster contains GPU nodes and the CCE AI Suite (NVIDIA GPU) add-on has been installed. Do not use: No GPU will be used. GPU card: The GPU is dedicated for the container.
The content includes migration evaluation and solution design of AI applications and matching models, reconstruction and commissioning of AI applications and model inference scripts, performance optimization of single-node and distributed systems, and fine-tuning, training script
