Batch Inference with Ray Data (Example)

Learn how to run scalable batch inference with Ray Data by loading a Hugging Face dataset, converting it to a Ray Dataset, and applying a SentenceTransformer embedding model in parallel using `map_batches`. You’ll configure batching, device placement (CPU/GPU/MPS), and concurrency to efficiently materialize embeddings for an entire dataset.

• Batch Inference with Ray Data
• Architecture Overview
• Loading a Dataset
• Defining the Batch Inference Class
• Creating a Data Batch and Calling the Model
• Running inference on the entire dataset