GenAI inference
built to accelerate
the world's AI
ambitions.
Artificial intelligence is math.
Trillions of compute-intensive operations — multiplications and additions.
Every second. Everywhere.
The sheer demand for artificial intelligence computation leads to an explosion in chip size and energy consumption.
The sheer demand for artificial intelligence computation leads to an explosion in chip size and energy consumption.
Introducing
Pareto.
Recogni’s proprietary AI-targeted number system based on the principles of logarithmic math.
By turning multiplications into additions, we reduce computational complexity — making chips a lot smaller, faster, and more efficient.
In standard math, multiplications scale (in power and area) quadratically with the number of bits. Pareto does not use multipliers in hardware — and it consumes far less power and area to begin with. Thus, our ability to deliver high-precision math (e.g. 16 bit) while maintaining low costs is significantly more feasible compared to standard approaches.
Introducing
Pareto.
Recogni’s proprietary AI-targeted number system based on the principles of logarithmic math.
By turning multiplications into additions, we reduce computational complexity — making chips a lot smaller, faster, and more efficient.
In standard math, multiplications scale (in power and area) quadratically with the number of bits. Pareto does not use multipliers in hardware — and it consumes far less power and area to begin with. Thus, our ability to deliver high-precision math (e.g. 16 bit) while maintaining low costs is significantly more feasible compared to standard approaches.