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Supermicro and Cisco announced a strategic collaboration to overcome exactly this challenge. Supermicro liquid-cooled and air-cooled AI systems are now part of the Cisco Secure AI Factory with NVIDIA, validated and sold as part of the broader Cisco AI infrastructure portfolio. This joint solution is scheduled to available through Cisco and its authorized channel partners beginning October 2026.
"Supermicro has spent over three decades perfecting the building blocks of IT infrastructure, and today's announcement validates our focus on today's complete AI factories," said Charles Liang, president and CEO of Supermicro. "By working closely with Cisco, we are delivering our first-to-market AI systems and data center-scale deployment capability to global enterprises through Cisco's sales organization and partner ecosystem they already know and trust. Customers can focus on their AI applications and delivering results while we deliver the infrastructure, on time, and ready to run."
The collaboration spans the full, NCP RA compliant infrastructure stack required to bring enterprise, neocloud and sovereign AI into production.
Accelerated compute. Supermicro rack-scale systems built on NVIDIA GB300 NVL72 and NVIDIA Vera Rubin NVL72, with expanded support for liquid-cooled NVIDIA HGX B300 NVL8 and NVIDIA HGX Rubin NVL8 systems. High-density platforms for trillion-parameter training, and dense GPU systems for high-throughput inference.
Integration and deployment: Rack-scale integration, testing, and validation performed by Supermicro, with onsite deployment services built on Data Center Building Block Solutions (DCBBS).
Together, Supermicro and Cisco close the gap between AI ambition and AI in production. You get first-to-market rack-scale systems, NCP-RA compliant networking on Cisco switching and validated services that stand behind the entire stack, all deployed into your existing network fabric and operated from a console your teams already know. That is agentic AI infrastructure engineered to run at scale, from day one.
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