In-Memory
Compute Arrives
in the Datacenter

d-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine.
OUR HOLISTIC PLATFORM APPROACH INCLUDES:
01

CIRCUITS

In-memory Compute (IMC) custom digital circuits deliver unprecedented efficiency.

Learn More

Custom digital circuits that integrate compute directly in programmable memory (IMC) lead to huge leaps in efficiency while retaining datacenter accuracy.

02

software

Open, simplistic, scalable, and frictionless for ease of adoption.

Learn More

Embracing the open-source software movement in AI frameworks and compiler, combined with the maturity and extensibility of our libraries and ML tools, makes adoption seamless.

03

ML ALGORITHMS

ML Algorithms & Tools.

Learn More

Seamlessly map existing trained models and option to design new models to take advantage of IMC hardware that intrinsically supports mulitple data types.

04

CHIPLETS

Fabric of chiplets delivers modularity and scale.

Learn More

A fabric of chiplets built with low-power open interconnects, enhanced with low-latency FEC to take advantage of the “More Than Moore” paradigm. The Lego block approach from chip design to system design provides modularity and scalability across multiple applications.

05

ADVANCED 
PACKAGING

Heterogenous, modular, and cost effective.

Learn More

Hetero-Modular organic package that enables chiplet heterogeneity and scalability, while being readily available and cost-effective.

We have a solid track record of solving some of the most teething problems for the largest datacenter customers in the world.

As opposed to forcing down the process curve with traditional digital architectures, we’re
re-thinking the physics of datacenter compute with a clean-slate approach to AI compute efficiency.

Join Us