Compal Accelerates Time-to-AI with Next-Generation NVIDIA Platforms at OCP Global Summit 2026

From Blackwell Ultra systems for today's AI deployments to next-generation Rubin, Vera CPU and Spectrum-X, Compal combines engineering, rack integration and global manufacturing to turn accelerated computing into deployable AI capacity—faster.

SAN JOSE, Calif., Oct. 13, 2026 /PRNewswire/ -- In the race to build AI infrastructure, access to the latest accelerator is only the beginning. The real advantage comes from how quickly that technology can be engineered into validated systems, manufactured at scale and deployed as usable AI capacity.

At OCP Global Summit 2026, Compal Electronics, Inc. (Compal; TWSE: 2324) will showcase how it is shortening that journey across generations of NVIDIA accelerated computing—from NVIDIA Blackwell Ultra and NVIDIA Rubin GPU to NVIDIA Vera CPU, NVIDIA Spectrum-X Ethernet and rack-scale systems.

For cloud service providers, enterprises and AI infrastructure operators, the goal is clear: shorter time-to-AI.

Rather than treating each new processor generation as an isolated product launch, Compal brings together server engineering, direct liquid cooling, rack integration, system validation, supply chain management and global manufacturing to accelerate the transition from new architecture to production-ready AI infrastructure.

Deploy Today: Turning Blackwell Ultra into AI Capacity

For organizations scaling AI today, deployment speed matters alongside compute performance. Compal's OG430-2-L1, a 4U direct liquid-cooled server based on NVIDIA HGX B300 platform with eight NVIDIA Blackwell Ultra GPUs, is engineered for demanding AI training, reasoning, inference and HPC workloads—and for the realities of deploying high-density computing in modern data centers.

Compal combines platform engineering with direct liquid cooling, system validation, rack integration and manufacturing readiness to reduce the engineering complexity between adopting next-generation accelerated computing and putting it into production.

The result is more than compute performance: it is a practical path toward turning advanced GPU technology into usable AI capacity at scale.

Ready for What's Next: Engineering for Rubin

While NVIDIA Blackwell Ultra powers the AI infrastructure being deployed today, Compal is already engineering for the next wave of accelerated computing.

The OG231-2-L1, combining Intel processors with NVIDIA HGX Rubin NVL8, demonstrates Compal's early engineering readiness for increasingly demanding reasoning and inference workloads. Compal will further showcase a 44U NVIDIA HGX Rubin NVL8, extending its expertise beyond individual servers into rack-scale integration.

By engineering across system architecture, liquid cooling, validation and rack integration early in the technology cycle, Compal is building the foundation customers need to prepare for the next major transition in AI computing—reducing the distance between next-generation architecture and real-world deployment.

Beyond the GPU: Connecting the New AI System

The next generation of AI will not run on GPUs alone. Agentic AI is increasing CPU-intensive requirements for data processing, orchestration, tool use and code execution, while larger AI clusters require increasingly powerful networking to keep compute resources connected.

Compal's showcase therefore extends beyond GPU systems with a 1U NVIDIA Vera CPU compute tray and the NVIDIA Spectrum-X SN6600 Ethernet switch, supporting up to 128 ports of 800GbE connectivity.

Together, these technologies reflect a broader shift toward AI systems in which GPU, CPU and networking operate as interconnected computing engines. Compal's role is to engineer across those boundaries—integrating compute, thermal design, connectivity and rack architecture into systems ready for data center deployment.

From Silicon to Deployment

With engineering expertise spanning server design, liquid cooling, rack integration and validation, backed by global manufacturing and supply chain capabilities, Compal helps customers move faster from emerging AI architectures to production environments.

"AI innovation is moving at extraordinary speed, but new silicon only creates value when it can be turned into infrastructure customers can deploy and scale," said Alan Chang, Vice President of Compal's Infrastructure Systems Business Group. "Our strength is in the engineering around the technology—integrating, cooling, connecting and validating each new generation, then bringing it to production at scale. From NVIDIA Blackwell Ultra to Rubin GPU, Vera CPU and Spectrum-X, we are helping customers shorten the path from the latest architecture to usable AI capacity."

At OCP Global Summit 2026, Compal will demonstrate not simply what comes next in accelerated computing, but how to make what comes next deployable. Because in AI infrastructure, the next breakthrough is not just faster compute—it is faster deployment.

About Compal

Established in 1984, Compal has grown into a leading global manufacturer of computers and smart devices, partnering with top-tier brands worldwide. Compal was recognized by CommonWealth Magazine as one of Taiwan's top 10 manufacturers and has consistently ranked among the Forbes Global 2000 companies. Compal has actively expanded into new growth areas, including cloud servers, automotive electronics, smart medical and healthcare, and advanced communication solutions. Headquartered in Taipei, Taiwan, Compal operates design and production facilities in the United States, Taiwan, China, Vietnam, Mexico, Brazil, and Poland. Learn more at https://www.compal.com

SOURCE COMPAL ELECTRONICS,INC.