ACS Gemini™: A Developer's Platform for Accelerated ACS RTDI™ Application Deployment
ACS Gemini™ is a robust software platform that enables developers to create, test, and debug new applications. It provides a fully integrated experience designed to streamline the journey from design to production within the virtual environment of ACS RTDI™. This digital twin solution includes the ACS Software Development Kit, a Reference Application Development Model, and containerized applications publishable to the ACS Container Hub™. Together, these components empower customers to accelerate time-to-market and efficiently deploy machine learning (ML) applications. Working seamlessly with ACS RTDI™, ACS Gemini™ allows users to create a virtual instance of a full ACS RTDI™ setup, comprising ACS Container Hub™, ACS Nexus™, ACS Unified Server™, and ACS Edge™. Within this environment, applications can be deployed using synthetic or historical data to assess impact on yield, quality, and other critical metrics during one or more simulated test sessions. This process enables model optimization prior to deployment in a production environment.
By leveraging ACS Gemini™, customers can save significant time and costs associated with engineering debugging, design-to-production correlation, cloud-based application deployment, and valuable test resources. Additionally, ACS Gemini™ supports advanced analytics development without the need for costly production hardware, ensuring that applications meet performance standards before live deployment.
ACS Gemini™ Feature Summary:
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Provides an application development environment that simulates production requirements, accelerating ramp-up.
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Digital twin technology benchmarks design-to-production performance.
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Enables debugging in a virtual environment to identify, repeat and correlate production issues.
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Includes a reference design to expedite the adoption of ML/AI algorithms.
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Offers a virtual Real-Time Data Infrastructure experience, reducing costs and effort associated with physical setups.
Customer Benefits:
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Faster Time-to-Market: Digital twin enables an application development environment that simulates production requirements.
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Accelerated ML/AI Adoption: Reference design speeds up integration of ML/AI algorithms.
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Cost Efficiency: Virtual Real-Time Data Infrastructure saves on costs and reduces the need for physical setups.
