RED Engineering Design supports NVIDIA DSX AI Factory ecosystem with advanced infrastructure design expertise

As NVIDIA advances AI factory architectures, RED Engineering Design, a company of Tractebel, supports their real-world delivery through integrated power, cooling and compute design.

RED is contributing to the evolution of AI infrastructure through its involvement in the NVIDIA DSX AI Factory ecosystem, supporting the design and delivery of next-generation environments for accelerated computing.

As demand for AI continues to scale, infrastructure is shifting beyond traditional data centre models toward integrated “AI factories,” where compute, power and cooling systems are designed as a single, optimised solution. RED Engineering Design brings over 20 years of experience in complex, high-performance facilities to this transition, helping clients design infrastructure capable of supporting increasingly dense and dynamic GPU workloads.

Through its work with NVIDIA technologies, RED is aligning its engineering approach with emerging reference architectures that define how AI factories are configured and deployed. This includes designing environments that support advanced GPU platforms and enable improvements in performance, efficiency and long-term compatibility.

By working closely with NVIDIA teams and leveraging insight into evolving technology roadmaps, RED Engineering Design helps clients anticipate infrastructure requirements and reduce the risk associated with rapid changes in AI hardware. This approach enables the delivery of facilities optimised for key performance metrics such as throughput, energy efficiency and tokens-per-watt.

NVIDIA’s DSX AI Factory framework brings together reference designs and digital tools that support the development of AI factories, including accelerated computing platforms and simulation capabilities. These technologies help enable more predictable, scalable and efficient deployment of AI infrastructure.

As a company of Tractebel, RED Engineering Design continues to apply its expertise in engineering design, system integration and performance optimisation to support clients navigating the transition to AI factories, delivering infrastructure that meets the demands of next-generation AI workloads.