The world of AI infrastructure is evolving rapidly, and big moves are being made to keep pace. In a significant development, d-Matrix has acquired the data center business of GigaIO. This strategic acquisition aims to deliver low-latency, highly efficient AI inference solutions at scale, bringing new expertise and technology into d-Matrix’s expanding portfolio.
d-Matrix Expands Rack-Scale AI Platform With GigaIO Acquisition
With this acquisition, d-Matrix strengthens its abilities in rack-scale AI deployment. The company has now integrated GigaIO’s coveted SuperNODE and FabreX™ PCIe-based memory fabric into its system. This move builds on the partnership that started in 2025 and allows d-Matrix to better support system-level solutions. Their AI inference platform now includes Corsair™ accelerators, JetStream™ networking, Aviator™ software, and the SquadRack™ reference architecture.
Integration of GigaIO’s Technology Boosts AI Efficiency
AI workloads today require efficient data movement between CPUs, GPUs, and inference accelerators. With GigaIO’s advanced interconnect technologies and engineering talent, d-Matrix can deliver even more low-latency and scalable AI systems. CEO Sid Sheth highlighted that “inference is bigger than any one chip.” The acquisition enables d-Matrix to build and optimize infrastructure designed for disaggregated AI compute at scale, meeting the needs of frontier labs and power users.
New Engineering Hub Strengthens d-Matrix Global Presence
The deal also brings a skilled team of systems engineers from Carlsbad, California, into the d-Matrix fold. This addition not only enhances engineering capacity but also expands the company’s reach. d-Matrix now operates from six innovation hubs across North America, Europe, and Asia, cementing its position as a leader in global AI infrastructure innovation.
In summary, d-Matrix’s acquisition of GigaIO’s data center business marks a big step forward for rack-scale AI infrastructure. By fusing key technologies and expert talent, d-Matrix is well-positioned to deliver efficient, next-generation AI inference solutions at scale. This move promises to benefit both enterprise and research customers seeking advanced, high-performance AI systems.
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