Zettascale
Energy efficient chips for AI
Technology
How Zettascale’s technology works — architecture, AI models, and technical capabilities.
How does Zettascale work?
Zettascale operates by utilizing energy-efficient, reconfigurable dataflow chips known as XPUs, which can adapt to optimize performance for various AI models. This adaptability reduces memory movement and enhances energy efficiency through techniques like localization and instruction fusion.
What technology powers Zettascale?
Zettascale is powered by state-of-the-art reconfigurable dataflow chips (XPUs) designed specifically for AI training and inference. These chips are optimized for each AI model, providing superior efficiency and performance compared to traditional accelerators.
What are Zettascale's main features?
Key features of Zettascale include polymorphic computing capabilities, which allow chips to reconfigure for different AI models, and enhanced energy efficiency through reduced memory movement and optimized dataflow. This results in higher throughput compared to GPUs and TPUs.
What type of AI does Zettascale use?
Zettascale focuses on AI models that benefit from energy-efficient computing. Its XPUs are designed to optimize performance for a variety of AI applications, making them suitable for both training and inference tasks.
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