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All IPs > Processor > Processor Cores > Grayskull

Grayskull

From Tenstorrent

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Description

Grayskull represents one of Tenstorrent's high-performance IP solutions, specifically designed to cater to expansive and computationally intensive AI applications. Built on the robust Tensix architecture, Grayskull enables unparalleled performance efficiency while accommodating a broad spectrum of AI models. This IP strives to optimize energy consumption, offering a high performance-per-watt metric that aligns with the industry's growing demands for sustainable tech.

Grayskull incorporates a sophisticated Network-on-Chip (NoC), which facilitates seamless connectivity and scaling across diverse processing units. Its adaptability makes it highly suitable for various domains, including cloud computing and edge devices, ensuring that the technology scales as the industry evolves. Furthermore, Grayskull is compatible with a range of precision formats, allowing developers the flexibility to adapt and optimize according to their model's requirements.

Engineered for integration and compatibility, Grayskull effortlessly fits into existing workflows, particularly in settings requiring advanced AI processing capabilities. From media applications to complex data center operations, this versatile solution marks a significant advancement in customizable high-power computing solutions. It remains a preferred choice for developers seeking robust, scalable, and power-efficient semiconductor IP solutions.

With the backing of Tenstorrent’s open-source software ecosystem, Grayskull enables developers to leverage its capabilities fully without proprietary constraints. It stands as a testament to Tenstorrent's commitment to enhancing technological innovation through openness and developer collaboration.

Features
  • High performance-per-watt
  • Advanced Network-on-Chip integration
  • Supports a broad range of precision formats
Foundries & Process Nodes
Foundry Process Nodes
TSMC 16nm FFC/FF+
28nm
Tech Specs
Applications
  • AI model training
  • Data center computation
  • Edge computing
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