How Does an AI Accelerator work?

There are currently two distinct AI accelerator spaces: the data center and the edge.

Data centers, particularly hyperscale data centers, require massively scalable compute architectures. For this space, the chip industry is going big.
Cerebras, for example, has pioneered the Wafer-Scale Engine (WSE), the biggest chip ever built, for deep-learning systems. By delivering more compute, memory, and communication bandwidth, the WSE can support AI research at dramatically faster speeds and scalability compared with traditional architectures.

The edge represents the other end of the spectrum.
Here, energy efficiency is key and real estate is limited, since the intelligence is distributed at the edge of the network rather than a more centralized location.
AI accelerator IP is integrated into edge SoC devices which, no matter how small, deliver the near-instantaneous results needed for, say, interactive programs that run on smartphones or for industrial robotics.
Metamaterials are innovative functional materials designed with unique patterns to interact uniquely with waves and energy forms, surpassing natural materials in properties and capabilities. They derive their distinct characteristics from precisely engineered structures rather than raw material composition, influencing a broad range of waves and energy types from optics to vibration control.

What Services We Offer

MetaMAT expertise is in wave propagation and wave conditioning, seismic/noise isolation and vibration attenuation concepts.

Building Acoustics

We offer the full range of acoustic consultancy services.

Building Mechanics

New Concepts for Structural protection against Earthquake & Noise

Accelerated AI designs

AI accelerators for near-instantaneous results allowing speed and scalability.

Have A Business Idea In Your Mind?

Our team is here to assist you every step of the way.