Speed up your model training with Vertex AI

Learn how to speed up training of PyTorch and Hugging Face models using a reduction server through Vertex AI feature, optimizing bandwidth and latency to distribute training across multiple Nvidia GPUs.

The all-reduce based algorithm synchronously averages gradients across multiple devices, reducing training time and costs.

The post dives into a detailed description of datum parallelism and reduction server's architecture and impact on training throughput.

>>Check out the accompanying notebook and video to learn more!