Cisco Joins $100B AI Infrastructure Partnership to Power Scalable, Secure AI Growth
Cisco announced its strategic collaboration with the AI Infrastructure Partnership (AIP), a coalition of global industry leaders including BlackRock, Global Infrastructure Partners (GIP), MGX, Microsoft, NVIDIA, and xAI.
As the newest technology partner, Cisco's involvement will further bolster AIP’s mission to build secure, efficient, and scalable infrastructure to support the growing demands of AI workloads.
Unlocking Investment Potential in AI Infrastructure
AIP is initially aiming to raise $30 billion in capital from investors, asset owners, and corporations, with the goal of mobilizing up to $100 billion in total investment potential, including debt financing.
This ambitious initiative seeks to create the foundation for the AI-driven future by developing and scaling infrastructure capable of meeting the demands of advanced AI applications.
Chuck Robbins, Chair and CEO of Cisco, said, “AI is only as effective as the technology that connects and secures it. By collaborating across our industry and leveraging public and private partnerships, we intend to build the infrastructure necessary to fulfill the promise of AI as we work together to drive innovation and economic growth."
Building a Robust AI Ecosystem
The addition of Cisco to the AIP partnership brings critical expertise in network technology, security, and software, positioning the company as a key player in building the infrastructure to support AI’s explosive growth. Cisco joins previously announced energy collaborators such as GE Vernova and NextEra Energy, reinforcing the importance of multi-sector partnerships in developing AI infrastructure.
Also read: Cisco Invests in Gruve.ai to Accelerate Real-World AI Deployment
AI as an Economic Multiplier
Cisco’s addition to AIP signals its strong belief in AI as a transformative economic multiplier.
The company views AI as a catalyst for automating and augmenting the human workforce across various industries, driving productivity and innovation. The technological infrastructure needed to support this evolution requires purpose-built hardware, software, and security tailored specifically to AI workloads.
