Max is a Research Analyst at Uptime Institute Intelligence. Mr Smolaks’ expertise spans digital infrastructure management software, power and cooling equipment, and regulations and standards. He has 10 years’ experience as a technology journalist, reporting on innovation in IT and data center infrastructure.
msmolaks@uptimeinstitute.com
When choosing whether to develop a brand new LLM or fine-tune an existing one, the second option often makes more sense. It can be more cost-effective and requires fewer IT and facility resources.
A new generation of vendors is entering the market to offer prefabricated modular data centers — betting that surging demand for AI will give these facilities a competitive edge.
On site fuel storage plays a critical role in maintaining data center resiliency. Following best practices will help operators extend the longevity of their on-site diesel stocks and avoid price increases.
Enterprises deploying AI inference need to choose carefully to limit costs and protect their data.
Concerns over rising electricity costs and environmental impact are driving local opposition to new data center projects in the US, prompting a growing number of cancellations.
The shortage of DRAM and NAND chips caused by demands of AI data centers is likely to last into 2027, making every server more expensive.
In this webinar and report, Uptime Intelligence looks beyond the more obvious trends of 2026 and examines some of the latest developments and challenges shaping the industry. AI is transforming data center strategies, but its impact remains uneven…
Uptime Intelligence looks beyond the more obvious trends of 2026 and examines some of the latest developments and challenges shaping the data center industry.
Nvidia's DGX-Ready certification for colocation facilities has been around for nearly six years, yet what the program actually entails remains obscure.
There is an expectation that AI will be useful in data center operations. For this to happen, software vendors need to deliver new products and use cases - and these are starting to appear more often.
Research into neuromorphic computing could lead to the creation of smaller, faster and more energy-efficient AI accelerators. This would have a transformative impact on digital infrastructure.
From on-prem AI to high-density IT, this webinar examined survey findings on how operators are preparing for what's next.
Most operators do not trust AI-based systems to control equipment in the data center - this has implications for software products that are already available, as well as those in development.
Several operators originally established to mine cryptocurrencies are now building hyperscale data centers for AI. How did this change happen?
The Uptime Institute Global Data Center Survey, now in its 15th year, is the most comprehensive and longest-running study of its kind. The findings in this report highlight the practices and experiences of data center owners and operators in the…
