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.
