GigaIO Sells SuperNODE and FabreX AI Fabric to d-Matrix

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Company refocuses on bringing datacenter-class computing directly to the edge with Gryf.

CARLSBAD, Calif., April 3, 2026 — GigaIO has announced the sale of its SuperNODE platform and patented PCIe Gen 5-based AI fabric FabreX to low-latency AI inferencing pioneer d-Matrix. The sale is the logical culmination of the companies’ strategic partnership to deliver inference solutions for AI at scale.

In April 2025, the two companies announced the integration of d-Matrix’s Corsair inference platform into GigaIO’s SuperNODE architecture to create a solution that supports dozens of Corsair accelerators in a single node. This collaboration became the industry’s most scalable AI inference platform, with an integration that enabled end users to deploy ultra-low-latency batched inference workloads at a new scale.

With the sale, d-Matrix has also acquired key rack-scale engineering talent from GigaIO, providing additional resources to rapidly deploy complete solutions for high-performance inference to data centers.

“We have worked closely with d-Matrix for more than a year to create rack-scale systems with industry-leading, high-performance inferencing,” said Alan Benjamin, CEO of GigaIO. “We are excited to see our world-class FabreX technology extend to full system capability and believe that d-Matrix, in combining its inference engines with our fabric, is the ideal company to challenge the existing hegemony.”

Moving forward, GigaIO will focus on bringing datacenter-class computing directly to the edge. Powered by FabreX and designed with SourceCode, GigaIO’s Gryf is unique in its ability to scale to the performance of a field supercomputer within such a small, portable form factor, providing real-time intelligence and analytics that were previously impossible without massive infrastructure.

“The edge market has a huge upside, with increased need to deploy new, modern, meaningful compute closer to the users, and that’s what GigaIO is going to be focused on,” said Benjamin. “As AI becomes an increasingly integrated part of daily business and life, the ability to execute sophisticated workloads closer to data inputs and outputs becomes ever more essential. We are excited to rethink the long-standing paradigm of stripped-down capabilities at the edge and instead deliver a new approach with mobile datacenter-class hardware that can execute increasingly complex use cases wherever they are needed.”

Gryf has enabling users to dynamically deploy applications anywhere, at any time. Organizations can process critical data on site without the latency issues from data transfers, accessing computing power in a ruggedized, field-ready design that can be deployed virtually anywhere. GigaIO has cited strong interest in Gryf from defense and intelligence, sports and media organizations, and the energy sector.