AI models need to scale efficiently to handle real-world challenges.In this project, you'll build a distributed training pipeline for image classification using the CIFAR-10 dataset. You'll train a transformer model across multiple devices, compare optimization strategies, and analyze how distributed training improves performance and scalability.
Efficient AI with PyTorch
Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.