Train and execute AI models in a chip with a green focus!
Up to 1000 times less energy consumption
Ultra-fast,
hyper-efficient,
modular,
cost-effective
AI learning engine
No required chip development
Fastest learning process
Efficient modeling logic
No human-loop optimization
A new paradigm
Scaling with Hardware Performance
Our patented technology*
Complete redesign of the stack from the transistor all the way to AI applications.
> Modeling logic with ultra-low gate counts.
> Digital logic fabric, massively faster in silicon versus neural networks.
> Minimal power consumption and heat production. No FPU dependency.
> No matrix multiplications.
> Can be massively parallelized in hardware.
> Ultralight algorithm & modular architecture enabling easy to create chip configurations suited to a huge variety of use cases.
> Same VHDL logic can be migrated from FPGA to semi-custom or fully-custom ASIC design.
What differentiates us?
> Our technology is in direct contrast to the current practice of using logic gates to perform arithmetic (ALU/FPU/GPU) and in turn using that constrained and costly system to produce AI workload outputs.
> This results in lower resource requirements (power, heat, die space, gate/transistor count, etc.) and a drastic increase in processing speed (low latency, high throughput).
Pioneering Green AI
EvoChip is a technology designed to take maximum advantage of features of the hardware environment. The algorithms are so efficient that even in software they offer enormous performance advantages. The IP can function in hardware only form, software form, or even in hardware accelerated software form.
Learn more about our patented technology*
