About

Quadric simplifies the design and programming of System on Chips (SoCs) specifically for machine learning applications. Their main product, the Chimera General-Purpose Neural Processing Unit (GPNPU), combines matrix and vector operations with scalar control code in one execution pipeline. This integration allows developers to avoid splitting application code across different processors, making the development process more efficient. Quadric primarily targets clients in the semiconductor industry, such as SoC developers and manufacturers, who need to improve their machine learning capabilities. Unlike competitors, Quadric offers a complete solution that includes the Chimera GPNPU, software development kits (SDKs), a C compiler, and an instruction set simulator, enabling users to design, simulate, and deploy their applications seamlessly. The company's goal is to enhance the performance and ease of development for machine learning applications on SoCs.

Simplify's Take

What believers are saying

• Quadric's Series B funding boosts expansion of commercial and engineering teams.
• Collaboration with Ams Osram enhances Quadric's position in smart sensing solutions.
• Llama2 LLM support for Chimera GPNPUs keeps Quadric at AI model compatibility forefront.

What critics are saying

• Competition from established semiconductor companies threatens Quadric's market share.
• Rapid AI advancements may outpace Quadric's current product offerings.
• Economic downturns could impact Quadric's revenue and investment opportunities.

What makes Quadric unique

• Chimera GPNPU integrates matrix, vector, and scalar operations in one execution pipeline.
• Quadric's GPNPU can run any code written in C, enhancing versatility.
• Chimera GPNPU blends NPU and DSP into a new hybrid processor category.

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