USDC Technology JSC.

03/07/2026

🚀 Southeast Asia’s data center market is exploding!

According to the latest Southeast Asia Data Center Market Landscape 2026-2031 report, the sector is set to grow at a CAGR of 14.32% through 2031 - fueled by AI adoption, cloud expansion, digital transformation, and strong sustainability initiatives across Malaysia, Indonesia, Vietnam, Thailand, and beyond.

We’re proud that USDC Technology JSC. is listed among the Key Data Center Contractors & Subcontractors in the latest Southeast Asia Data Center Market Landscape report.

As a trusted partner in Vietnam’s data center ecosystem, USDC Technology JSC. is ideally positioned to support this regional surge. We deliver comprehensive design-build-operate solutions that meet international standards, along with cost-efficient, scalable, and sustainable infrastructure tailored for enterprises, hyperscalers, and government initiatives.

Read more： https://www.researchandmarkets.com/reports/5661111/southeast-asia-data-center-market-landscape-2026?srsltid=AfmBOooojcukDdCPb-HrKRk4D1YklgI7bqrBdzP_UkRd9_69rdYyG2Ci

The Southeast Asian Data Center Market, valued at USD 15.72B in 2025, is projected to reach USD 35.08B by 2031, growing at a 14.3% CAGR.

18/02/2026

🚀 USDC Technology JSC. – A Leading Player in Vietnam’s Data Center Market 🇻🇳

Vietnam’s data center market is entering a high-growth phase, fueled by digital transformation, cloud adoption, AI workloads, and strong government support. Industry reports project robust CAGR and multi-billion-dollar market expansion over the coming years.

In this rapidly evolving landscape, USDC Technology JSC. stands out as a key contributor — delivering advanced engineering capabilities, modular data center solutions, and scalable infrastructure to support next-generation digital demands.

As Vietnam accelerates toward a cloud-first and AI-driven economy, USDC Technology JSC. is well-positioned to help shape the country’s digital infrastructure future.

Discover the booming Vietnam data center market! This in-depth analysis reveals key trends, drivers, and restraints shaping the industry's growth from 2019-2033, focusing on major players like Viettel and FPT Telecom. Explore market segmentation, regional analysis, and future projections for Hanoi,....

22/01/2026

Warm-Water Cooling: Directionally Correct, Systemically Challenging

AI workloads continue to push power density higher, and air cooling alone cannot scale indefinitely. Industry leaders are right in identifying the limits of air cooling and the need to move liquid closer to silicon.

Warm-water cooling itself is not radical. From a thermodynamic perspective, once heat is removed directly at the chip, the coolant does not need to be cold. Higher coolant temperatures can improve facility efficiency and simplify heat rejection.

At a directional level, this is correct.
However, direction alone is not implementation.

In current industry discussions and early experiments, warm-water cooling is typically applied only at the chip level rather than as a complete replacement for air cooling. Direct-to-chip liquid interfaces are proposed to manage CPU and GPU heat, while many other server components continue to rely on conventional air cooling. This approach implies a hybrid thermal concept, where liquid and air cooling assumptions coexist within the same server and rack environment.

This introduces conflicting thermal assumptions. In practice, the coldest requirement often dictates overall operating conditions, limiting theoretical efficiency gains. At the same time, higher thermal demand typically requires increased coolant flow and pressure. While risks can be managed, no liquid system eliminates them entirely.

Hybrid cooling therefore increases both CAPEX (a second cooling system added, not substituted) and OPEX(complexity, maintenance, monitoring, and conservative operation after incidents). Efficiency gains are real — but they are not free.

At Hai Nam, and across our ecosystem, we follow developments in data center engineering closely and with genuine enthusiasm. Industry leaders are right in identifying the limits of air cooling and the need to move liquid closer to silicon. Our role is to examine how that direction translates into real infrastructure, where physics, operations, and economics must align.

Warm-water cooling is directionally correct.
Direction must be respected, but systems must be proven. That distinction matters.

20/01/2026

💡 AI data centers are being designed to serve AI infrastructure — not simply to host servers.

As rack densities move beyond 40–100+ kW, airflow-based cooling reaches its limits. Modern AI facilities respond with liquid-first thermal design, modular power blocks, and tightly integrated cooling and electrical systems. These choices reshape facility layout, operational models, and long-term economics.

Cooling is no longer an operational detail. It is a structural constraint that determines how far AI compute can scale.

👉 Full analysis on USDC website: https://news.usdc.vn/cooling-and-infrastructure-design-for-high-density-ai-data-centers/

Why data centers must be rebuilt—thermally and electrically—to serve AI infrastructure From IT Support Systems to AI-Enabling Infrastructure AI data centers are not conventional facilities running heavier workloads. They are purpose-built environments where cooling and power infrastructure defin...

31/12/2025

💡 AI isn’t just increasing demand for data centers — it is changing what a data center is.

Rack power that once sat at 5–10 kW has climbed to 30–100+ kW in AI clusters. According to McKinsey, average global rack density is expected to reach ~30 kW by 2027, driven largely by AI workloads.

This shift turns IT load from a background technical metric into a strategic capacity indicator, with data centers increasingly planned and valued in megawatts of IT load, not rack counts.

This is Part 1 of our series “AI Data Centers: Power, Cooling, Design and the New Economics.”

👉 Read the full analysis:
https://news.usdc.vn/it-load-in-ai-data-centers-how-ai-is-redefining-the-power-foundation-of-data-centers/

AI workloads are driving a step-change in IT load: rack power has increased from traditional ~5–10 kW to 30–100+ kW in AI clusters. (See Figure 1.) Data centers must now be planned and measured in MW of IT load rather than rack counts. The shift impacts power distribution, cooling design, site s...