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Data Center Solutions

Data Center Liquid Cooling: When and How to Deploy for AI Infrastructure at Scale

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Artificial intelligence is changing the physical requirements of the modern data center. For years, most enterprise environments operated comfortably below 10kW per rack. Today, AI and high-performance computing environments are regularly pushing 30kW, 50kW, and even 100kW+ per rack. As compute density rises, traditional air cooling strategies become increasingly difficult to scale efficiently. Liquid cooling is no longer a niche technology discussion reserved for experimental environments. For many organizations deploying… Read More

APAC to Surpass U.S. in Colocation by 2030

According to analysis by Cushman & Wakefield, Asia Pacific is forecasted to surpass the United States as the largest colocation data center market globally before 2030. The Asia Pacific Data Centre Investment Landscape report predicts that by 2030, the region will have around 23,904 MW of operational colocation capacity, compared to the United States, which is expected to have approximately 18,256 MW. This will position APAC ahead of the US… Read More

Silverback Goes Global – Your Trusted Partner Worldwide

silverback globe technology

Silverback Data Center Solutions is investing and expanding in APAC, where we’ve operated for over a decade. At Silverback, our commitment is clear: support our clients wherever their business grows. Whether you’re scaling AI infrastructure, deploying hybrid cloud strategies, or implementing advanced cooling technologies—we’re already there. As global demand for high-performance, scalable infrastructure accelerates, we’re proud to have long-standing experience delivering projects across North America, EMEA, and the Asia-Pacific region. Our teams… Read More

The AI Boom is Here—But Can Our Data Centers Keep Up?

AI Chip Abstract Background

AI Workloads & Power Constraints: The Growing Energy Demands of AI Deployments Artificial intelligence (AI) is revolutionizing industries at an unprecedented pace, driving innovations in healthcare, finance, manufacturing, and beyond. However, behind every advanced AI model—whether it’s a large language model (LLM) like ChatGPT, an autonomous driving system, or an AI-driven analytics engine—is an immense AI energy demand that is reshaping the future of data centers. As organizations scale their… Read More

AI-Driven Data Centers: Powering the Future of Innovation

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The rapid advancement of artificial intelligence (AI) is transforming the data center industry, driving the need for scalable and sustainable power solutions to meet increasing demands. According to a recent IDC report, AI data center capacity is projected to grow at a compound annual growth rate (CAGR) of 40.5% through 2027, with energy consumption rising by 44.7% to an estimated 146.2 terawatt-hours (TWh). To support this exponential growth, data centers… Read More

Edge vs. Data Center: Unpacking the Differences in AI Deployment

gears indicating edge computing

As artificial intelligence (AI) continues to evolve, its deployment across various environments—from centralized data centers to decentralized edge devices—demonstrates its versatility and breadth. Understanding the distinctions between AI at the edge and AI at the data center is essential for leveraging these technologies effectively. Processing Location and Latency AI at the data center involves powerful servers located in centralized facilities that handle extensive computations and data storage. For instance, training… Read More

Colo vs Cloud: Why one may be better than the other for HPC

Inside HPC equipment

An example of Colocation vs Cloud for High-Performance Compute (HPC) SEO Firm, Ahrefs, finds cloud to be cost-prohibitive for its high density computing needs. Ahrefs estimates it would cost $400 million over three years if it were to switch from its colocation environment to AWS. In the fast-paced world of technology, where computational demands are escalating, the choice between colocation and cloud infrastructure is pivotal for companies that rely on… Read More

Data Center Location as a Key Step in Climate Change Success

In most cases, data center operators decide where to build data centers based on factors such as the cost of construction in the potential areas, the proximity of the data center to end users, and the types of energy sources available to power a data center in a certain area. One important factor they don’t always think about, however, is how climate change could impact their data center depending on… Read More

Generative AI and Data Centers: A dual-edged sword?

As the AI goldrush, spearheaded by technologies like Open AI’s ChatGPT and Google’s Bard, gains momentum, its growing prevalence is driving demand in data centers, with research projecting the generative AI market to reach US$126.5 billion by 2031, expanding at a CAGR of 32% from 2022 to 2031. What’s often overlooked is generative AI’s impact on data center demand – as society integrates such technology more deeply into everyday life,… Read More