d-Matrix boosts rack-scale AI capabilities with acquisition of GigaIO data center business.

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    "url": "https://pr.lakeoswegoreview.com/article/d-Matrix-Boosts-Rack-scale-AI-Capabilities-With-Acquisition-of-GigaIO-Data-Center-Business?storyId=69ce935cf8b61dfb6ec5470f",
    "title": "d-Matrix boosts rack-scale AI capabilities with acquisition of GigaIO data center business.",
    "assets": "core data center technologies",
    "excerpt": "d-Matrix boosts rack-scale AI capabilities with acquisition of GigaIO data center business.\n\nPR Newswire\n\nToday at 9:01am PDT\n\nAddition of Rack-Scale Technology, Systems Expertise and Key Engineering Talent to Accelerate Deployment of Low-Latency, Highly Efficient AI Inference at Scale\n\nSANTA CLARA, Calif., April 2, 2026 /PRNewswire/ - d-Matrix, the pioneer in low-latency AI inference compute for data centers, today announced the acquisition of GigaIO's data center business, a systems engineering organization with deep expertise in rack-scale infrastructure and high-performance interconnects.\n\nBuilding upon a collaboration that began in 2025, the deal deepens a proven partnership. With this move, d-Matrix expands its capabilities to support system-level deployments and strengthens the value of its end-to-end AI inference platform spanning Corsair(TM) inference accelerators, JetStream(TM) networking, and Aviator(TM) software, along with the d-Matrix SquadRack(TM) rack-scale reference architecture developed in collaboration with Broadcom and Arista.\n\nWhile GigaIO, Inc. will continue as an independent entity focused on edge computing, d-Matrix has acquired the company's core data center technologies, including SuperNODE and the FabreX(TM) PCIe-based memory fabric, to support its system-level infrastructure roadmap.\n\n\"Inference is bigger than any one chip. It's now a systems...",
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    "article_sentence": "While GigaIO, Inc. will continue as an independent entity focused on edge computing, d-Matrix has acquired the company's core data center technologies, including SuperNODE and the FabreX(TM) PCIe-based memory fabric, to support its system-level infrastructure roadmap."
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