AI Infrastructure

AI clusters demand new interconnect architectures. Dell’Oro analysts Sameh Boujelbene and Jimmy Yu assess OCS as a proven, power-efficient option for large-scale AI networks.

Solo.IO has launched agentregistry, an open-source platform for managing AI agents and their lifecycle. It focuses on security and governance for enterprises, complementing existing tools and introducing Agent Skills for enhanced AI functionality.

AI-driven automation is streamlined with enhanced security protocols through Itential MCP.

At GNE 2025, Mplify presented a market brief on the impact of agentic AI on network architecture and the need for standards-based components.

McKinsey's projection estimates $6.7 trillion in data center investments by 2030, focusing on AI-ready infrastructure expansion.

NVIDIA collaborates with national labs to enhance AI infrastructure, boosting U.S. technological capabilities across sectors.

Fortinet launched its Secure AI Data Center solution to enhance protection for AI infrastructures, integrating advanced security layers.

Telenor warns that critical infrastructure faces increased risks from disinformation, cyberattacks, and sabotage in its Nordic report.

Microchip Technology introduced Optical Ethernet PHY transceivers up to 25 Gbps, addressing the demand for reliable connectivity.

ASUS launched the XA NB3I-E12 AI server for enterprise workloads, featuring eight NVIDIA GPUs and dual Intel Xeon CPUs.

Microchip Technology launched optical transceivers supporting 25 Gbps, enhancing reliable connectivity for industrial applications.

NVIDIA, Google, OpenAI, and AWS launched CFAS to enhance AI applications in national security.