The only scalable and robust analog in-memory computing for breakthrough efficiency and programmability
The only scalable and robust analog in-memory computing for breakthrough efficiency and programmability
In-Memory Computing (IMC)
In-memory computing greatly enhances compute efficiency and reduces data movement.
Robust Analog
EnCharge AI’s innovation in charge-domain computation based on intrinsically-precise metal capacitors breaks traditional IMC tradeoffs, overcoming the SNR limitations of analog processing.
Current-based Analog IMC
Charge-based Analog IMC
(measured silicon)
Scalable
Technology scalability and maturity proven through 5 generations of designs, across multiple process nodes and scaled-up architectures.
Breakthrough Energy Efficiency
The highest demonstrated efficiency among both incumbents and new entrants for AI compute.
Fully Programmable and Scalable Execution
Seamless integration in user workflows and system deployments, with high-performance support across AI model types and operators.
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