This is the Windows app named CoreNet whose latest release can be downloaded as corenet-v0.1.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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CoreNet
DESCRIPTION
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. The framework includes monitoring tools, fault tolerance mechanisms, and efficient checkpointing for massive training runs.
Features
- Distributed deep learning framework for large-scale neural network training
- Unified abstractions for data, tensor, and pipeline parallelism
- Optimized communication stack for low latency and high throughput
- Integration with Apple’s hardware accelerators and ML runtime
- Support for mixed-precision training and efficient checkpointing
- Fault-tolerant distributed runtime with monitoring and scaling tools
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/corenet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
