An advanced computing company

Compute more, with less

Resource efficient hardware for scaleable and intelligent computing

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Chip Designers

Working with expert neuroscientists, mathematicians, and AGI experts, we're here to innovate computer hardware.

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Hyperscale Computing

As data continues to grow, the tech industry is spending more in power and costs. We're radically improving scaling pipelines.

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AGI

Artificial intelligence is quickly progressing to the next level -- AGI -- with our new hardware.

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Full Stack Pipelines

Our processors are co-designed from software to hardware with use in mind to ensure a perfect fit into your existing pipelines.

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NDPU Features

The Processor for Hyperscale Computing

Our new PCIe chip is designed to process more information per transistor, reducing costs and power in cloud, databases, blockchain, and AI applications.

  • Less Power Consumption
  • Faster Compute Throughput
  • Post-quantum Secure
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NDPU Technical Details

More on the NDPU

The NDPU uses a special combination of logic and memory on chip and combines that with an auto-vectorizing compiler to compress information before computing it. Our patented technology significantly reduces power and overall hardware costs.

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Information is automatically compressed into a holographic math state and then processed in the compressed form. This technique uses less memory which reduces power needed.

Since information is compressed before processed, each transistor can be running in parallel computing all of the info with less bits used to represent that info.

Our new chip uses a type of math that is contextual, this means that a new type of artificial intelligence can be supported without adding more and more GPUs as models scale.

The chip uses two forms of security. First, the software layer randomly scrambles the data into an abstract string. Then, the hardware uses PUF to ensure the random scramble is post-quantum secure.

Our floor layout of logic and memory is like islands of logic in a sea of memory. The logic is designed for fixed point geometric operations instead of floating point matrix multiplication ops of GPUs. All information is compressed, binarized, and vectorized on chip.

Anyone who is processing lots and lots of data and wants to do so without constantly adding more hardware and increasing power will love the NDPU.

Contact Us

Find out how our hardware solves your problem. Please Contact Us.