西门子CPU模块6ES7505-0RA00-0AB0

西门子CPU模块6ES7505-0RA00-0AB0

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----浔之漫智控技术(上海)有限公司

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概述

AI Inference Server standardizes AI model execution on Siemens Industrial Edge. It facilitates data collection/ac, orchestrates data traffic, and is compatible with all powerful AI frameworks.

More information is available at this link.

Ordering option

The app can be ordered from the Industrial Edge Marketplace at this link.

应用

• AI Inference Server is a Siemens Industrial Edge application that can run on Siemens Industrial Edge devices.

• AI Inference Server enables AI models to be executed using the built-in Python Interpreter for the inference purposes.

• The application guides the user to set up execution of the AI model on the Siemens Industrial Edge platform using the ready-to-use data connectors.

• AI Inference Server standardizes logging, monitoring and debugging of AI models

• AI Inference Server is designed to integrate MLOps with the AI Model Monitor.

AI Inference Server with GPU acceleration:

• AI Inference Server in the variant with GPU acceleration standardizes the execution of the AI model on GPU-accelerated hardware using AI-enabled inference in the Edge ecosystem.

功能

AI Inference Server

• Supports the most popular AI frameworks that are compatible with Python

• Orchestrates and controls AI model execution

• Can run AI pipelines with both an older and a newer version of Python

• Enables horizontal scaling of the AI pipelines for optimum performance

• Simplifies tasks such as input mapping (thanks to integration with Databus and other Siemens Industrial Edge connectors), data collection/ac, and pipeline visualization

• Permits monitoring and debugging of AI models based on inference statistics

• Features logging and image visualization

• Includes pipeline version management

• Permits the import of models via the user interface or via a remote connection

• Supports persistent data storage on the local device for each pipeline

AI Inference Server variant for 3 pipelines

• Supports the simultaneous execution of up to 3 AI pipelines