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Quadric

Quadric is recognized for its cutting-edge processor architectures explicitly tailored for artificial intelligence computing on devices. The company has innovatively developed solutions that allow seamless execution of complex C++ code and high-performance machine learning inference on a single processor, avoiding the inefficiencies of distributing tasks across multiple processors. This approach significantly enhances productivity and streamlines operations for developers working with diverse machine learning models, including vision transformers and large language models. Quadric's solutions, primarily encapsulated within the Chimera series processors, are designed to maintain a wide range of performance capabilities, thereby addressing diverse application segments, including automotive needs. The company's hallmark product line, the Chimera GPNPU, is praised for its unified hardware and software architecture optimized for a wide array of AI computing needs. It supports a seamless integration of matrix, vector, and control operations into a single, compact code stream, simplifying software development and system integration. This architecture promises future-proof flexibility, allowing teams to continually enhance features and adopt novel algorithms without hardware redesign, expanding the lifespan and adaptability of system-on-chip (SoC) designs. Quadric also emphasizes the applicability of its solutions within automotive sectors, where stringent efficiency and safety standards are paramount. The Chimera GPNPU range includes safety-enhanced versions that address these rigorous standards, making them suitable for applications such as advanced driver assistance systems (ADAS) and in-vehicle infotainment. Importantly, the processors operate with high performance while consuming minimal energy, thanks to sophisticated power management strategies integrated within the GPNPU systems. Additionally, Quadric's focus extends to supporting emerging technologies like large language models and vision transformers, ensuring their processors meet the considerable computational demands of these advanced frameworks. The company's continued success is grounded in its ability to provide processors that harmonize flexibility, efficiency, and scalability across various use cases, paving the way for long-term superiority in AI-driven applications. Read more

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Chimera GPNPU

The Chimera GPNPU series stands as a pivotal innovation in the realm of on-device artificial intelligence computing. These processors are engineered to address the challenges faced in machine learning inference deployment, offering a unified architecture that integrates matrix, vector, and scalar operations seamlessly. By consolidating what traditionally required multiple processors, such as NPUs, DSPs, and real-time CPUs, into a single processing core, Chimera GPNPU reduces system complexity and optimizes performance. This series is designed with a focus on handling diverse, data-parallel workloads, including traditional C++ code and the latest machine learning models like vision transformers and large language models. The fully programmable nature of Chimera GPNPUs allows developers to adapt and optimize model performance continuously, providing a significant uplift in productivity and flexibility. This capability ensures that as new neural network models emerge, they can be supported without the necessity of hardware redesign. A remarkable feature of these processors is their scalability, accommodating intensive workloads up to 864 TOPs and being particularly suited for high-demand applications like automotive safety systems. The integration of ASIL-ready cores allows them to meet stringent automotive safety standards, positioning Chimera GPNPU as an ideal solution for ADAS and other automotive use cases. The architecture's emphasis on reducing memory bandwidth constraints and energy consumption further enhances its suitability for a wide range of high-performance, power-sensitive applications, making it a versatile solution for modern automotive and edge computing.

Quadric
64 Views
All Foundries
All Process Nodes
AI Processor, CPU, DSP Core, GPU, Processor Core Independent, VGA, Vision Processor
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Chimera SDK

The Chimera SDK is an advanced software development toolkit providing a comprehensive environment for developers working on complex application codes targeting the Chimera GPNPU processors. This toolkit facilitates the integration of both machine learning graphs and traditional C++ code, empowering developers to optimize applications across different frameworks and work environments. The SDK is accessible through Quadric's DevStudio, enabling seamless simulation and profiling of AI software. Developers can utilize a visual interface to experiment with optimized libraries and pre-configured machine learning models. This user-friendly platform supports online access or can be deployed within private clouds or on-premises, offering flexibility in development environments. Key to its utility is the Chimera Graph Compiler which extracts machine learning models into efficient, optimized C++ code. This process involves converting ML models from popular frameworks like TensorFlow and PyTorch, ensuring compatibility and performance optimization. This compiler, along with the LLVM C++ compiler integration, assures that applications can be fine-tuned to meet high-performance expectations while reducing development time.

Quadric
40 Views
AI Processor, Multiprocessor / DSP
View Details Datasheet
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