SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Hemant is an Architect at Dell Infrastructure Solutions Group & works on strategy & optimization for the Systems Management portfolio products. He has initiated and led Performance Engineering, Cloud migration, Automation, Process improvements & Simulation/Emulation related tech vitality activities in the recent past. As an Innovation Evangelist for the entire site, he drives various Innovation related activities across the Server, Storage and Services business units. Apart from this, Hemant likes to spend his free time on cycling, carpentry & photography.
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.
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
Conventional security management methods often operate reactively, relying on fragmented vulnerability management processes and manual updates. This approach hinders swift threat responses and diminishes the efficiency of AIOps.
