Chip startup d-Matrix acquires SuperNODE and FabreX from GigaIO

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Deal will also see rack-scale engineers move over to d-Matrix

Chip startup d-Matrix has acquired the SuperNODE platform and PCIe Gen 5-based AI fabric offering FabreX from GigaIO.

The financial terms of the deal were not disclosed, but the agreement will also see the chip startup acquire rack-scale engineering talent from GigaIO to support the rapid deployment of compute for environments spanning high-performance inference to data centers.

The two companies previously partnered in April 2025 for the integration of d-Matrix’s Corsair inference platform into GigaIO’s SuperNODE architecture. In a statement, GigaIO described the deal as the “logical culmination of the companies’ strategic partnership to deliver inference solutions for AI at scale.”

Following the completion of the sale, GigaIO will focus on bringing compute directly to Edge environments via its portable AI supercomputer, Gryf.

Co-designed by GigaIO and SourceCode, Gryf, which is described by the companies as “the world’s first suitcase-sized AI supercomputer,” delivers data center-scale compute power directly to Edge operations, enabling real-time intelligence and analytics.

“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.”

He added: “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.”

Founded in 2019 and headquartered in Santa Clara, d-Matrix develops accelerator cards that aim to make AI inferencing workloads quicker and more efficient. Its full-stack platform is powered by the company’s Corsair inference accelerators, JetStream NICS, and Aviator software, which it claims can deliver 10X faster performance, 3X lower cost, and 3–5X better energy efficiency than GPU-based systems.

In November 2025, the startup closed a $275 million Series C funding round, valuing the company at $2 billion.

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