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Quadric

Quadric is a forward-looking semiconductor IP company that specializes in delivering high-performance processor architectures optimized for on-device AI computing. Their signature offering, the Chimera GPNPU, bridges the gap between traditional processors and neural processing units (NPUs), providing a solution that can run complex AI models, C++ code, and manage sophisticated machine learning tasks all on a single processor. This multi-faceted capability eradicates the need for splitting workloads across different types of processors, like CPUs and GPUs, thus significantly enhancing the design and adaptability of System on Chips (SoCs). Based in Burlingame, CA, their innovations have made significant strides in AI inference performance across various market segments, including automotive applications utilizing their safety-enhanced versions designed for long-term lifecycles with high reliability. The company's dedication to simplifying SoC design while expanding support for AI model portability makes it a unique player in the semiconductor industry. In a rapidly evolving AI landscape, Quadric’s processors remain future-proof, allowing for ongoing optimizations and adaptations to upcoming network models. This approach not only ensures high efficiency and performance in current applications but also offers the flexibility to embrace technological advancements over time. The Chimera GPNPU series, characterized by its unified processor architecture, is a testament to Quadric’s commitment to delivering scalable solutions for AI inference, significantly simplifying programming efforts and enhancing developer productivity. By consolidating processing tasks into a single core, including both AI/ML and traditional DSP functionalities, they streamline operations and support future-proof chip designs. Read more

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Chimera GPNPU

Chimera GPNPU is engineered to revolutionize AI/ML computational capabilities on single-core architectures. It efficiently handles matrix, vector, and scalar code, unifying AI inference and traditional C++ processing under one roof. By alleviating the need for partitioning AI workloads between different processors, it streamlines software development and drastically speeds up AI model adaptation and integration. Ideal for SoC designs, the Chimera GPNPU champions an architecture that is both versatile and powerful, handling complex parallel workloads with a single unified binary. This configuration not only boosts software developer productivity but also ensures an enduring flexibility capable of accommodating novel AI model architectures on the horizon. The architectural fabric of the Chimera GPNPU seamlessly blends the high matrix performance of NPUs with C++ programmability found in traditional processors. This core is delivered in a synthesizable RTL form, with scalability options ranging from a single-core to multi-cluster designs to meet various performance benchmarks. As a testament to its adaptability, the Chimera GPNPU can run any AI/ML graph from numerous high-demand application areas such as automotive, mobile, and home digital appliances. Developers seeking optimization in inference performance will find the Chimera GPNPU a pivotal tool in maintaining cutting-edge product offerings. With its focus on simplifying hardware design, optimizing power consumption, and enhancing programmer ease, this processor ensures a sustainable and efficient path for future AI/ML developments.

Quadric
TSMC
1000nm
17 Categories
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Chimera SDK

The Chimera SDK is an advanced software suite designed to enhance the development and deployment of AI models on Quadric's Chimera processors. It provides a complete environment where developers can simulate, profile, and deploy applications using a code-driven approach that embraces both traditional C++ and modern machine learning models. This SDK simplifies the AI model preparation for the Chimera GPNPU by providing tool-driven processes that require no network adjustments or operator substitutions. The Quadric Chimera SDK is adept at transforming ONNX graphs derived from popular training platforms like TensorFlow and PyTorch into optimized C++ code that can be directly executed on Chimera processors. By integrating graph compiler capabilities and LLVM-based code optimization, the SDK empowers developers to fully exploit the hardware capabilities of Chimera, ensuring efficient and streamlined execution of diverse AI workloads. This toolkit supports deployment on private cloud or on-premise systems, further enhancing its flexibility for varied developmental needs.

Quadric
TSMC
1000nm
2D / 3D, AI Processor, Image Conversion, IoT Processor, JPEG, Processor Core Dependent, Processor Core Independent, Processor Cores
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Latest News About Quadric

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The Future of AI Accelerators: Connecting the Dots in a Complex Landscape

Exploring the challenges and solutions in connecting AI accelerators across diverse domains using discussions from industry experts. Read more

Adapting Semiconductor IP to the Rapid Evolution of AI Models

Delve into the challenges and solutions for ensuring semiconductor IP remains adaptable in the face of rapidly evolving AI models and software. Read more

Kyocera Chooses Quadric’s Chimera IP to Supercharge Edge AI Processing

Kyocera partners with Quadric to power AI in next-gen processors with Chimera GPNPU, enhancing edge devices for smart cities and factories with efficient AI processing. Read more

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