Uploaded November 2025 | Updated September 2026, 2 weeks ago
We are moving to an era where being First to Market is key. However, there are multiple problems with respect to hardware availability with: 1. Reduced proto hardware 2. Reduced & tight schedules 3. High proto HW cost These constraints create bottlenecks in design, development, and validation cycles, potentially compromising product quality and market positioning. This presentation introduces an innovative approach leveraging artificial intelligence and open industry standards to create sophisticated Digital Twins of hardware infrastructure. By utilizing SNIA Swordfish and DMTF Redfish specifications, organizations can simulate complex datacenter environments without physical hardware dependencies. The solution employs Large Language Models (LLMs) to dynamically generate device configurations and responses that strictly adhere to industry standards, enabling authentic hardware behavior simulation. The framework combines open-source specifications, data models, and JSON schemas from standards bodies with AI capabilities to create a flexible, scalable simulation environment.
Through intelligent prompt engineering and real-time validation against Redfish/Swordfish specifications, the system generates standardized data representations that mirror actual hardware responses. This approach enables teams to prototype, test, and validate solutions against virtually unlimited hardware configurations, including edge cases and disruptive scenarios that would be costly or impossible to replicate physically. Attendees will learn how to implement AI-driven Digital Twins using industry standards, understand the technical architecture for standards-compliant simulation, and explore practical applications for accelerating product development. The presentation demonstrates how this approach reduces costs, eliminates hardware dependencies, and enables true "design anywhere, test everywhere" capabilities while maintaining full compliance with SNIA/DMTF standards.
Understanding AI-powered digital twin architecture Leveraging open standards for hardware simulation Implementing dynamic prompt engineering for device simulation Accelerating development cycles through virtual prototyping Building scalable simulation environments.
Presented by Hemant Gaikwad, Dell Technologies and Rahul Vishwakarma, WorkOnward
Learn More:
• SDC Website: snia.org/sniadeveloper
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia
We are moving to an era where being First to Market is key. However, there are multiple problems with respect to hardware availability with: 1. Reduced proto hardware 2. Reduced & tight schedules 3. High proto HW cost These constraints create bottlenecks in design, development, and validation cycles, potentially compromising product quality and market positioning. This presentation introduces an innovative approach leveraging artificial intelligence and open industry standards to create sophisticated Digital Twins of hardware infrastructure. By utilizing SNIA Swordfish and DMTF Redfish specifications, organizations can simulate complex datacenter environments without physical hardware dependencies. The solution employs Large Language Models (LLMs) to dynamically generate device configurations and responses that strictly adhere to industry standards, enabling authentic hardware behavior simulation. The framework combines open-source specifications, data models, and JSON schemas from standards bodies with AI capabilities to create a flexible, scalable simulation environment.
Through intelligent prompt engineering and real-time validation against Redfish/Swordfish specifications, the system generates standardized data representations that mirror actual hardware responses. This approach enables teams to prototype, test, and validate solutions against virtually unlimited hardware configurations, including edge cases and disruptive scenarios that would be costly or impossible to replicate physically. Attendees will learn how to implement AI-driven Digital Twins using industry standards, understand the technical architecture for standards-compliant simulation, and explore practical applications for accelerating product development. The presentation demonstrates how this approach reduces costs, eliminates hardware dependencies, and enables true "design anywhere, test everywhere" capabilities while maintaining full compliance with SNIA/DMTF standards.
Understanding AI-powered digital twin architecture Leveraging open standards for hardware simulation Implementing dynamic prompt engineering for device simulation Accelerating development cycles through virtual prototyping Building scalable simulation environments.
Presented by Hemant Gaikwad, Dell Technologies and Rahul Vishwakarma, WorkOnward
Learn More:
• SDC Website: snia.org/sniadeveloper
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia
