From a Michigan lab to volume silicon
MemryX was co-founded in 2019 by Dr. Wei Lu, an IEEE Fellow and Professor of Electrical Engineering at the University of Michigan since 2005, and a highly influential expert in memory devices, neuromorphic computing and in-memory computing systems.
Dr. Lu and a small team at Michigan understood that the future of computing depended on the ability to scale and ramp dedicated AI accelerators across a large and diverse embedded market. The team set out to build a fundamental core architecture for edge AI with high flexibility and reconfigurability.
The result was a forward-looking design with dual priorities: minimise data movement, and ship software that is practical to deploy and scalable enough to support hardware generations that had not been designed yet.
That core architecture was proven and optimised across two internal generations before a single product shipped — and it is the same fabric running inside every MX3 accelerator today.
MemryX founded
Co-founded in Ann Arbor by Dr. Wei Lu around an at-memory dataflow architecture for edge inference.
MX1 and MX2
First and second generation hardware and software used for internal prototyping — proving and optimising the core architecture.
MX3 brought up
Third-generation silicon on 12 nm, with the compiler and runtime that make it deployable without retraining.
Into production
MemryX transitions to production and begins volume shipments of the MX3.
Recognised in the field
Edge AI & Vision Alliance Product of the Year, with the Cascade module family shipping across four form factors.
