👉 PacCompute is an open-source, distributed, and heterogeneous computing framework designed to simplify the development and deployment of machine learning applications across diverse computing environments. It allows developers to harness the power of GPUs, CPUs, TPUs, and other accelerators in a unified manner, enabling efficient and scalable training and inference processes. PacCompute provides a standardized interface for accessing these resources, abstracting away the complexities of hardware heterogeneity and enabling seamless integration with popular machine learning libraries like TensorFlow, PyTorch, and ONNX. This framework supports both on-premises and cloud-based deployments, facilitating collaboration and reducing the barriers to entry for organizations looking to leverage distributed computing in their AI workflows.
pac computing