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Cisco Live 2026: Bringing the Future of Customer Experience to Las Vegas Edge opportunity for service providers: Turn infrastructure into new services MRC and SRv6: How Foundational Networking Innovations Are Enabling the Next Generation of AI Supercomputers The SMB Marketing Reset: Winning Customer Trust in a Digital-First Economy Inside the SOC: AI-powered DNS defense against ransomware Our Path Forward Securing the Federal Digital Experience with Cisco ThousandEyes for Government Cisco at ONUG Dallas 2026: Securing the AI Data Center in the Agentic Era Cisco and Red Hat are powering intelligent core to edge: Red Hat Summit insights Building the Capabilities That Win: How Cisco Partners Can Lead in the SMB & Mid-Market Era How Two Hours Felt Bigger Than My To-Do List Announcing Foundry Security Spec Ace the CCIE Collaboration Lab: Success Tips from a TAC Engineer Turned CCIE Protecting Agents with Cisco AI Defense and Google Agent Development Kit Powering an Inclusive Future: Your guide to the Purpose Pavilion at Cisco Live Las Vegas The Infrastructure Behind the Mission: SOF Week 2026 Cisco Networking App Marketplace Partners at Cisco Live 2026 Beyond the Pilot: Building the Clinical Data Fabric for the Agentic Era Benchmarking scale-out AI fabrics with Cisco N9000 + AMD Pensando™ Pollara 400 NICs Month of Developer Productivity: Build and Forget The race to autonomous transport networks: A new study Lean IT, future-ready: How to save time and simplify wireless management with AI Reading Between the Pixels: Failure Modes in Vision Language Models Biochar’s triple win: Healthier soils, improved crops, and decarbonization Designing a Proactive Customer Journey Modernize your data center operations with Cisco Nexus Dashboard Why your automation stack needs Cisco Agentic Workflows Try Cisco AI Defense Explorer Edition in this hands-on lab From Bandwidth to Intelligence: How Cisco is Powering AI-Ready Networks Spotlight on digital transformation | FY25 Purpose Report Galaxy Mode is live: A limited-time look at what your Cisco AI Assistant and AgenticOps can already do Securing the Agentic Workforce: Cisco Announces Intent to Acquire Astrix Security Understanding CISA BOD 26-02: Mitigating Risk from End-of-Support Edge Devices Digging Deeper: The Future of Mining with Automation and Ultra-Reliable Wireless Voices from the field: Helping farmers build resilient local economies across rural America Defining Model Provenance: A Constitution for AI Supply Chain Safety and Security Introducing Model Provenance Kit: Know Where Your AI Models Come From Security Insights: A Threat-First View for the Platform That Enforces Access How I Turned My Curiosity into a Patent From Strategy to Architecture: How Cisco is Building a Quantum-Safe Future Maximizing Managed Security Services: A Strategic Guide to Optimizing Your Portfolio (Part 1 of 2) Simplify access control in five easy steps Trust: Why security is your next growth engine Cisco IQ is generally available. 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Built like a startup, scaled like Cisco: Transforming data center cooling for the AI era
Denise Lee · 2026-04-30 · via Cisco Blogs

The traditional answer to dealing with heat in data centers has been to use air-cooled fans to cool the equipment. But air cooling a modern AI rack is like blowing on a hot pan—it works slowly and inefficiently. The industry was ripe for change.

I’ve always believed that the most significant breakthroughs happen when you combine the agility of a startup with the scale and reliability of a global leader like Cisco. We gathered a small team to move ahead of the curve, built a prototype, and put it in front of customers around the world. With direct feedback from the industry and our customers over the last three years, we are ultimately working to bring a 100% direct-liquid-cooled network switch to market.

The heat behind the hype

With the explosion of generative AI, the International Energy Agency projects that electricity demand from data centers worldwide is set to more than double between 2024 and 2030 to around 945 terawatt hours (TWh), slightly more than the entire electricity consumption of Japan today. Today’s traditional enterprise rack draws 5 to 15 kW. An AI GPU rack can draw 60 to 130 kW, and it’s projected to draw up to 1 MW each by 2030, a scale that was once used for entire facilities.

At this scale, AI clusters can only be cooled with liquid cooling. Just like a car engine that circulates coolant to carry heat away from the engine, liquid cooling circulates a water-glycol mix through pipes to efficiently dissipate heat directly from high-density, high-performance networking components. This delivers more performance per rack, while using less power to cool it.

In 2022, a group of Cisco engineers—Senior Director of Data Center Architecture Christopher Liljenstolpe, Director of Hardware Engineering Vic Chia, and Senior Engineering Product Manager Asha Hegde—set out to build a prototype of a direct-to-chip liquid-cooled version of the Cisco 51.2-terabit switch.

For a team operating with a startup mentality inside a company the size of Cisco, we faced the classic chicken-and-egg dilemma: the business wanted to see the demand before investing; customers needed a viable product before formally expressing demand.

Our strategy was to gather proof from the industry and from customers. We collaborated with partners like the Open Compute Project (OCP) and the Linux Foundation to help define the path forward for liquid-cooled infrastructure, and we debuted a prototype at the Optical Fiber Conference in March 2023. At the largest event for optical communications with over 15,000 attendees, no one had shown anything like it. Customers immediately began asking, “When will this be available?” That confirmed we were heading in the right direction.

The team showcased the prototype at other industry conferences over the following months, building momentum with each showing. The prototype unlocked real customer conversations with AI hyperscalers, neoclouds, and service providers. “GPU servers had already moved to liquid cooling, but the network switch has been sitting in the same hot, dense rack and still relying on air,” Christopher shared. “As the leader in networking, we were able to help customers think about cooling their entire infrastructure and have conversations that weren’t happening anywhere else.”

Director of Hardware Engineering Vic Chia and a cross-functional team showcased the direct-to-chip liquid-cooled version of the Cisco 51.2T switch at industry conferences

Our hardest engineering challenge was cooling the front-end optics. The prototype’s 800G OSFP transceivers generate enormous heat in a small space, and the optics are designed to be swapped in and out. We needed to maintain a tight thermal connection between the optic and the cold plate. We pioneered a 2×8 optics cooling design that solves this challenge, and it has helped shape how the broader industry approaches optics cooling today.

From prototype to product

Our prototype and stack of evidence made it easy for decision makers at Cisco to commit to productize an even faster switch. “You need proof that a new bet is worth it,” said Asha. “The customer response was so strong that it was an easy decision for leadership to green-light production.”

While we were the first to show what was possible, we knew other companies weren’t too far behind. Delaying this product offering would result in Cisco losing any first-mover advantages.

Direct-liquid-cooled network switch prototype by Cisco
Direct-liquid-cooled network switch prototype by Cisco

In February 2026, we announced the next generation of Cisco N9000 and Cisco 8000 systems with liquid-cooled designs. Powered by the Cisco Silicon One G300 chip, the system delivers 102.4 terabits per second of throughput, doubling the prototype’s capacity in the same physical footprint. This enables significantly higher bandwidth density and a nearly 70% energy improvement, offering the same bandwidth in a single system that would previously have required six prior generation systems.

We’re focusing on increasing energy efficiency, lowering operating costs, and simplifying operations as the AI ecosystem buildout expands beyond hyperscalers. “Our liquid cooling isn’t bolted on,” says Vic. “The silicon, optics, and cooling are designed as one system, so operators can build this into their data centers from day one.”

No one scales alone

The startup mentality isn’t just about building fast and getting to the market first. It’s about knowing what to build and knowing when to bring in partners who are leading their industries.

We created the Cisco Engineering Alliances program to scale our ability to engineer and validate new solutions. Our Alliance enables hardware, software, and services to reduce integration risk and accelerate time to deployment for building AI infrastructures at speed.

These partnerships are especially critical in an evolving regulatory landscape that is focused on waste heat capture. Germany’s Energy Efficiency Act (EnEfG) and broader European regulations will require certain data centers to capture waste heat and return it to municipal heating systems. When heat is captured in fluid and transferred to a heat exchanger rather than expelled as hot air, we turn waste into a resource.

Innovation doesn’t ship and then stop

True innovation is a constant state of looking around the corner, and it can come from anywhere inside a company this size. We build towards where the market is heading, listen to customers’ challenges, and scale an ecosystem that our customers can immediately trust. As the pan keeps getting hotter, we are already moving beyond the switch, exploring immersion cooling and extending liquid-cooling architectures to storage and power supplies.

At Cisco, we aren’t just building for today’s AI demands; we are building the foundation for the next decade of infrastructure. We listen, we prototype, we partner, and we scale. That is how we lead in the AI era.

Visit our direct liquid cooling demo at Cisco Live 2026 in Las Vegas to learn how to achieve energy savings in the AI era