The Chimera SDK from Quadric offers a comprehensive suite of tools designed specifically for developers working on complex AI and machine learning projects. It provides the necessary infrastructure to not only develop but also simulate, profile, and optimize applications for Quadric's Chimera processors. A noteworthy feature of the SDK is its compatibility with commonly used AI frameworks, seamlessly converting ONNX models into optimized C++ code capable of running efficiently on the Chimera hardware.
Incorporating the Chimera Graph Compiler (CGC), the SDK allows developers to undertake graph conversion by performing multiple optimization processes, such as graph simplification and constant propagation. This creates an environment where machine learning inference models are automatically refined and prepared for efficient execution on the hardware.
Furthermore, the SDK provides extended capabilities for local and remote deployment, supporting a private cloud or on-premises setups. By streamlining the development process, the Chimera SDK delivers an easy-to-use interface for compiling, optimizing, and running extensive AI models, offering developers the power and flexibility to adapt and optimize new algorithms swiftly.
