Writer: Jordan Sprogis
Editor: Lillian Castro
Reviewer: Cristian Lopez
Key Takeaways
- The Open Compute Project (OCP) has launched the AI Portal, a one-stop resource hub for data center operators who want to streamline AI cluster deployments.
- As AI data centers grow, the industry is entering a second wave, driven by the need for more scalable solutions that can handle the next generation of AI/ML workloads.
At the end of April, the Open Compute Project (OCP) launched a new AI portal on its marketplace that serves as a central resource hub for building AI-focused data centers.
The portal includes reference architectures, technical white papers, and best practice guidelines for data center developers and operators whose centers support scalable AI workloads.
Backed by contributions from major players like NVIDIA and SuperMicro, it promises to simplify the process for operators looking to optimize their infrastructure.
Angela Taylor, Director of Global Strategy of LiquidStack, told Upsite that data center owners and operators are facing increasing pressure to adapt to support AI.
“Those who are not planning to incorporate generative AI and liquid cooling into their offerings will be unable to compete with those who are taking those steps to upgrade their existing and future infrastructure,” Taylor said.
One of the ways data centers are keeping up is via AI clusters.
AI clusters — high-density environments that support AI/ML workloads — have become a core element of data center infrastructure, particularly following the ChatGPT boom.
AI Infrastructure Boom
The industry is entering a second wave of AI data center development, said Ashish Nadkarni, Group VP and GM of Worldwide Infrastructure at IDC.
He explained that first-generation systems were designed in silos, leading to fragmentation and higher costs.
It is more than true: The rapid growth of generative AI has fundamentally changed how data centers are designed, cooled, and powered.
Traditional enterprise server racks simply weren’t built to handle the demands of GPU-intensive workloads.
So hyperscalers, colocation providers, and mid-sized operators are rebuilding or retrofitting their facilities with higher power densities, liquid cooling, and advanced monitoring systems.
“It is the right time for an organization like OCP to be facilitating commonalities that can help accelerate the market for future generations of AI cluster deployments,” Nadkarni added.
According to the IDC, annual AI-centric spending will exceed $100 billion by 2028, thanks to the massive investments made by U.S. tech giants.
To name a few, Google’s parent, Alphabet, is set to spend $75 billion in 2025 alone.
Apple is promising a $500 billion investment over the next four years, with a focus on AI/ML, R&D, and software development.
Meanwhile, both U.S. and foreign chipmakers are stepping up, too, undoubtedly spurred by skyrocketing demand and upcoming tariff price hikes.
With an AI data center popping up every day, providers and operators need to consider whether their infrastructure is optimized enough to support this next-gen workload.
For those who are daunted by the “what next?” question, OCP’s standards could help simplify how to get there.
