👉 NB Computing is an open-source, distributed computing platform designed to enable developers to build and deploy machine learning models at scale across a network of diverse computing resources. It allows for the seamless integration of heterogeneous hardware, including CPUs, GPUs, TPUs, and specialized accelerators, by abstracting away the underlying infrastructure and providing a unified programming model. This approach facilitates efficient resource utilization, dynamic scaling, and cost-effective deployment of AI workloads, making it particularly suitable for large-scale training and inference tasks. NB Computing supports a variety of frameworks and languages, such as TensorFlow, PyTorch, and ONNX, ensuring broad compatibility and flexibility for developers working on complex AI projects.
