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Axiado to Demonstrate Autonomous AI Agents for Server Efficiency, Platform Security, and System Management at OCP Global Summit 2025

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Demonstrations Highlight AI Agents Embedded in Silicon to Secure, Optimize, and Manage Infrastructure at Scale

Axiado Corporation, a leading AI-driven, hardware-anchored platform security and system management solutions company, announced it will showcase its latest advancements in AI, accelerated computing, system efficiency, and platform security at the 2025 Open Compute Project (OCP) Global Summit, taking place October 13–16 at the San Jose Convention Center.

As AI and accelerated computing redefine data center architectures, the scale and complexity of today’s systems are pushing the limits of conventional design. Axiado is addressing these challenges by embedding autonomous AI agents directly into its Trusted Control/Compute Unit (TCU) silicon, transforming infrastructure security and management from reactive to proactive and ensuring that servers can operate with improved efficiency.

“Axiado redefines platform security and system management by putting AI agents where they matter most, inside the silicon itself,” said Gopi Sirineni, CEO of Axiado. “We’re working with partners across the OCP ecosystem to create infrastructure that is resilient, efficient, and secure.”

Also Read: AiThority Interview With Dmitry Zakharchenko, Chief Software Officer at Blaize

At the event, Axiado will showcase how its Trusted Control/Compute Unit (TCU) and autonomous AI agents are redefining platform security and system management from the silicon level up, delivering proactive protection and operational intelligence for AI and cloud infrastructure at Expo Hall, Booth A1including:

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  •  AI-Driven System Optimization: Autonomous AI agents embedded within Axiado’s TCU analyze system operation and optimize operational settings to improve system efficiency.
  • AI-Driven Hardware Security: Autonomous AI agents monitor, analyze, and mitigate threats before the OS boots.
  • Trusted Control/Compute Unit (TCU) Integration: Unified hardware platform combining Root of Trust (RoT), TPM, BMC, and secure networking with on-chip AI inference.
  • Cross-Platform Collaboration: Demonstrations across AMD, Intel, and NVIDIA architectures, showing seamless scalability and cross-vendor interoperability.
  • OCP-Ready Designs: Deployed in industry-standard OCP DC-SCM and NVIDIA IFF form factors for simplified integration by OEMs and ODMs.

Axiado will feature demonstrations in Booth A1, highlighting integration of its TCU technology and AI agents across AMD, Intel, and NVIDIA-based platforms, including:

  • AI on Pegatron/NVIDIA GB200: Integrated with SCM3080-MT and running AI-driven Dynamic Thermal Management (DTM), AI-driven Dynamic Voltage and Frequency Scaling (DVFS), vulnerability scanning, and secure co-pilot functions.
  • Telemetry (DOCA) on Supermicro/NVIDIA server: Integrated with SCM3080-MT and running NVIDIA DOCA for telemetry and system optimization.
  • NVIDIA GH200: Integrated with Axiado SCM3080-MT
  • Jabil AMD EPYC™ “Turin”-based 2U platform Server: Integrated with Axiado SCM3002
  • Gigabyte Intel Server: Integrated with Axiado SCM3002

Also Read: Neuro-Symbolic AI Cities – Designing “Thinking Cities”

Axiado’s Secure Control Modules (SCM3002 and SCM3080-MT), powered by the AX3000 and AX3080 Trusted Control/Compute Units (TCUs), embed autonomous AI agents directly into the foundation of the system. Operating independently from the host CPU and OS, these agents continuously monitor, secure, and optimize system behavior in real time. By extending visibility and intelligence below the operating system, they deliver proactive protection against threats while dynamically tuning infrastructure for peak efficiency and resilience.

Intelligent system optimization can save data centers up to $20,000 per rack per year in energy costs by controlling cooling and adjusting GPU and CPU operational settings in real time. Leveraging proprietary AI-driven dynamic voltage and frequency scaling (DVFS) techniques, Axiado’s solution further reduces power consumption without impacting performance, delivering significant efficiency gains at scale.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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