CUDO Ventures

Two days at Data Centre LIVE and one thing became increasingly clear: The AI infrastructure conversation has fundamentally shifted. Across panels, meetings and conversations throughout the event, the same themes kept surfacing: Power constraints. Deployment timelines. Cooling. Density. Sovereignty. Operational readiness. Less conversation around simply securing GPUs. Far more conversation around whether infrastructure can actually support AI at scale. It mirrors one of the biggest findings from Land. Power. Compute.: AI is no longer constrained by algorithms alone. It’s increasingly constrained by the physical infrastructure required to deploy it. The industry is moving beyond compute procurement and into infrastructure reality. Land that can support development. Power that can sustain AI workloads. Infrastructure that can actually be delivered and operated at scale. Great to catch up with partners, peers and others across the ecosystem pushing these conversations forward. Want to dive deeper into the infrastructure realities shaping AI deployment? Read the full report today. Link in the comments.

Everyone wants to talk about GPUs. But the real bottlenecks in AI infrastructure? Power, delivery timelines and whether sites can actually support what’s being deployed. Great discussion at SES Engineering Services' roundtable with our CBDO & Co Founder, Pete Hill on what the UK data centre sector is now up against as AI demand accelerates. Because the challenge is no longer just getting access to compute. It’s getting infrastructure live, operational and scalable in the real world.

71% of the cost pressures shaping AI deployment now point to infrastructure. GPU pricing ranks sixth. That gap between what organisations are investing in and what they are actually able to deploy is widening. Our Land. Power. Compute. report, built on insights from 700+ infrastructure leaders, makes one thing clear: AI is no longer constrained by innovation. It is constrained by execution. Land. Power. Compute. is where that execution either succeeds or fails. Read the full report today. Link in comments.

We have published “Land. Power. Compute.” It is the most ambitious piece of research we have produced at CUDO. 701 respondents. 15 in-depth interviews. Nine chapters covering every physical constraint on AI deployment. The core thesis: the bottleneck in AI has shifted from silicon to infrastructure. The next phase will not be won by those who buy the most GPUs. It will be won by those who can deploy them. If you are building, buying or investing in AI infrastructure, this report was written for you. Download the report today. Link in comments.

That’s a wrap on a great couple of days at Data Centre World London. The CUDO Compute team was on the ground connecting with operators, infrastructure partners and technology leaders across the event. One theme surfaced repeatedly in conversations and sessions: the constraints shaping the next phase of AI are increasingly physical. Access to land. Access to power. And the ability to deploy compute at scale. It was great to exchange perspectives with organisations tackling these challenges across the data centre and infrastructure ecosystem, including partners such as Conapto. Many discussions reinforced the central question the industry now faces: how do we scale AI when land, power and infrastructure are the real constraints? That question sits at the heart of our upcoming Land. Power. Compute. industry report. Click the link to register and receive the report as soon as it is released: https://lnkd.in/eJxRF_rF