BytePS
What it is
BytePS is a high-performance distributed deep learning training framework designed for cloud and shared clusters. It supports TensorFlow, Keras, PyTorch, and MXNet, optimizing inter-machine communication by replacing MPI with custom implementations and hierarchical strategies.
The problem it solves
In_efficient scaling and communication bottlenecks in traditional distributed training frameworks (like Horovod+NCCL) on shared cloud environments.
What you could use it for
- Distributed training of large-scale models like BERT-large
- Training on cloud-based GPU clusters using RDMA or TCP networks
- High-efficiency multi-node model training with gradient compression
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.