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Energy efficient chips for AI
Zetta builds energy-efficient chips ("XPUs") for AI to accelerate discovery. Our XPUs are highly programmable, letting them optimize the dataflow for each model and making them faster and far more efficient than anything on the market today, saving data centers billions in energy and cooling costs.
Co-founder & CEO of the Zettascale Computing Corp., autodidact since age 9, with a background in Computer Science & Computer (Architecture) Engineering (BSc + MSc, dropout), mathematics, and aerospace.
Co-founder & CTO of the Zettascale Computing Corp., with a background in Mechanical Engineering, Generative Modeling, and Electrical Engineering
Reconfigurable chips for AI that are 27.6x more energy efficient.
Exa Laboratories announces reconfigurable AI chips that adapt to each model architecture to improve efficiency and performance, with simulations showing up to 27.6x gains versus H100 GPUs. The product targets data centers and AI workloads, aiming to reduce energy use and associated costs while enabling diverse neural network designs.
Formerly “Exa Labs”, “Exa Laboratories” · why startups rename →
Efficient and compact power supply for AI hardware
Run AI pipelines 10x faster
