Examples for GPU embeddings, batch inference, vector search, and multimodal analysis.
Embed 50K Wikipedia articles
Embed 50,000 Wikipedia articles with a CUDA image, CPU download stage, GPU embedding stage, and shared vector artifacts.
Tune XGBoost on 1,000 CPUs
Train 36 XGBoost models across 1,000 CPUs and pick the best flight-delay model.
Run batch LLM inference
Load a Hugging Face model once per worker and score Parquet batches without building an endpoint.
Cluster arXiv abstracts
Shard metadata, embed every abstract, then cluster and search after the corpus is visible.
Search 192K artworks with CLIP
Fetch and embed Open Access museum images, then use FAISS to find visual matches without labels.
Test Airbnb hypotheses
Run listings, photos, CLIP, Haiku Vision, reviews, and bootstrap confidence intervals across the public corpus.
Last updated 2 months ago
