d-Matrix Corsair AI inference platform enters full production
Products will ship in volume to priority hyperscalers, neoclouds, and frontier labs starting this summer.
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AI inference hardware and software platform for datacenters
d-matrix.aiLast updated
In short: d-Matrix raised $500 million, launched the Corsair AI chip, and entered full production to challenge Nvidia in the high-speed AI inference market.
Products will ship in volume to priority hyperscalers, neoclouds, and frontier labs starting this summer.
The acquisition adds rack-scale technology, systems expertise, and engineering talent to accelerate low-latency AI inference deployments. It expands capabilities including SuperNODE and FabreX interconnects.
It advances low-latency AI inference by stacking DRAM on compute for larger models, achieving 10x better bandwidth and energy efficiency. Pavehawk test chip validates performance.
They integrate Corsair accelerators with GPUs in Gimlet Cloud, delivering 10x speedups in latency and throughput per Watt for agentic AI workloads. Availability planned for 2H 2026.
American Sid Sheth, is challenging Nvidia's dominance with innovative AI inference chips backed by Microsoft's venture arm M12.
D-Matrix unveils its new 'Corsair' AI chip, claiming a 10x speed advantage over GPUs for AI inference by integrating SRAM directly onto the chip.
Matrix, the pioneer in low-latency AI inference for data centers, today announced its Corsair™ inference accelerator platform is in full production, with products to begin...
Nvidia challenger D-Matrix is entering full production of an AI chip it says is 10 times faster than a GPU and bypasses the memory shortage.
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