Compal Unveils Rack-Level AI Solution to Tame Next-Gen NVIDIA GPUs

SAN JOSE, CA – March 13, 2026 – As the artificial intelligence industry converges on Silicon Valley for NVIDIA’s GTC 2026 conference, the conversation is dominated by a single, immense challenge: how to power and cool the next generation of AI. With AI accelerators approaching the power consumption of a small appliance, the era of simply adding more servers to a rack is rapidly coming to a close. Stepping into this high-stakes environment, Taiwanese manufacturing giant Compal Electronics is unveiling a solution that addresses the problem not at the chip or server level, but at the scale of the entire data center rack.

At GTC, Compal will showcase its “ONE Integrated Solution,” a comprehensive, rack-level AI infrastructure architecture designed to handle the immense thermal and power demands of upcoming NVIDIA platforms like the Rubin and B300 systems. The demonstration, featuring a physical three-rack configuration, represents a tangible shift in data center philosophy—moving from assembling individual components to deploying a pre-integrated, holistic system where compute, power, and cooling operate in synergy.

The End of the Air-Cooled Era?

The relentless march of Moore's Law has produced AI chips with staggering capabilities, but it comes at a cost measured in watts and degrees Celsius. As compute density and power requirements continue to soar, traditional air-cooling methods are proving insufficient, creating performance bottlenecks and threatening the physical limits of data center design. Industry projections show the data center liquid cooling market is set to explode, growing from roughly $5 billion in 2025 to over $38 billion by 2033, a clear signal that the industry is bracing for a paradigm shift.

Compal’s “ONE Integrated Solution” is a direct response to this inflection point. The system is a meticulously engineered ecosystem composed of three distinct but interconnected racks:

• The Compute Rack: This unit houses the high-density servers, built on NVIDIA’s HGX and MGX architectures. It’s designed to support the latest, most powerful systems, including those based on the NVIDIA HGX Rubin NVL8 and NVIDIA HGX B300, which are the engines driving the most demanding AI workloads.

• The Power Rack: Developed with partner AcBel, this rack is not just a power strip; it’s a sophisticated electrical infrastructure designed to deliver the massive, stable power required by dense GPU clusters, a critical component often overlooked in node-centric designs.

• The Liquid Cooling Rack: In collaboration with Rayonnant, this unit integrates a Coolant Distribution Unit (CDU) and all necessary piping. It forms a closed-loop liquid cooling system that efficiently draws heat directly from the high-power components, enabling the compute rack to operate at peak performance without thermal throttling.

This three-part harmony marks a fundamental change in strategy. “The evolution of AI is driven not only by breakthroughs in silicon performance, but also by advancements in infrastructure-level collaboration,” said Alan Chang, Vice President of Compal's Infrastructure Systems Business Group, in a statement. The focus is no longer on the performance of a single server but on the integrated performance and efficiency of the entire rack as a single, unified product.

A Strategic Pivot to Power AI Factories

For Compal, a company long known as a leading manufacturer of notebooks and smart devices, the “ONE Integrated Solution” is more than a new product—it’s a declaration of a strategic transformation. The company is aggressively pivoting from its roots as a PC OEM to becoming a critical systems provider for the burgeoning AI economy. This strategic shift is backed by substantial financial commitment and ambitious goals.

Compal projects that AI servers will constitute a staggering 80% of its total server revenue in 2026, with the server business as a whole targeted to exceed 10% of the company's trillion-dollar (NT) revenue forecast. To fuel this growth, the company is investing heavily in new server labs, expanded production lines, and new facilities in Vietnam and the United States to meet the anticipated demand.

This move also places Compal in direct competition with other major infrastructure players like Supermicro, which is also showcasing next-generation liquid-cooled AI platforms at GTC. The race is on to become the preferred partner for deploying the “AI Factories” envisioned by NVIDIA’s leadership—massive, centralized hubs of computing power. By aligning its technology roadmap so closely with NVIDIA's, Compal is positioning itself as an essential enabler of this vision, providing the foundational hardware that makes it all possible.

“As the industry advances toward higher compute density and larger-scale workloads, we aim to deliver sustained integration value across platform generations,” Chang noted, underscoring a strategy focused on long-term partnership and deep integration rather than simply selling components.

From Data Center to Drug Discovery

While the engineering behind these massive racks is complex, the ultimate goal is to accelerate innovation in the real world. The raw computational power unlocked by these integrated systems provides the horsepower for breakthroughs across a spectrum of industries. Compal is highlighting this connection by showcasing several cross-domain AI applications at GTC.

In the automotive sector, the company is demonstrating an infrared perception system that leverages real-time AI inference for next-generation vehicle safety and autonomy. This kind of application demands the low-latency, high-throughput processing that advanced infrastructure enables.

Perhaps even more profound is the work being shown in medical and life sciences. Compal is presenting research on using its GPU server platforms for accelerated molecular docking and generative antibody design. These AI-driven techniques, detailed in posters titled “GPU Annealer Molecular Docking” and “Generative Antibody Factory,” have the potential to dramatically shorten the timeline for drug discovery and the development of new therapies. These complex scientific AI workloads are precisely the type of tasks that Compal's high-density GPU server platform, the SX420-2A, is built to handle, demonstrating a clear line from rack-level architecture to potential life-saving innovations.

As visitors walk the floor of GTC 2026, they will see countless demonstrations of AI’s potential. But at Compal’s booth, they will see the tangible, industrial-scale hardware that is required to turn that potential into reality, offering a practical perspective on how the data centers of tomorrow are being built today.