About d-Matrix
d-Matrix, based in Santa Clara, California, designs chips for running trained AI models, a task known as inference. Its approach is digital in-memory compute, which places arithmetic circuits inside the memory that holds the model data, so less time and energy goes on moving data back and forth. Its Corsair product is a PCIe accelerator card carrying two such chips, each with on-chip SRAM, and it does not rely on costly high bandwidth memory. Corsair was unveiled in November 2024, and Sid Sheth is cofounder and chief executive.
d-Matrix was founded in 2019 and is based in Santa Clara, CA, United States. It is listed under In-Memory Computing, AI Accelerators, HPC & AI Systems. Reported funding is $275M Series C (Nov 2025, $2B valuation, $450M total).
Compute Technologies
- In-Memory Computing
- AI Accelerators
What d-Matrix works on
In-Memory Computing
In-memory computing does calculations inside or right next to the memory that stores the data, instead of copying the data to a separate processor. It is also called processing-in-memory (PIM) or compute-in-memory.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
HPC & AI Systems
High-performance computing (HPC) means using very large clusters of processors working together to solve problems that one machine cannot handle in a reasonable time. These clusters are called supercomputers. They run weather models, physics simulations and, increasingly, AI training.
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