Ecosystem & Stack: s3

LMCache is an LLM serving engine extension designed to significantly reduce Time-To-First-Token (TTFT) and boost throughput, especially for long-context scenarios, by intelligently reusing KV caches.

DataChain is a Python-based AI-data warehouse for transforming, analyzing, and versioning unstructured multimodal data like video, audio, PDFs, and images.

A collection of Jupyter notebooks and a new Python SDK demonstrating how to build, train, and deploy machine learning models on Amazon SageMaker.

An open-source feature store that streamlines the management and serving of features for AI/ML models, ensuring consistency between training and inference.

Deep Lake is an AI data runtime and database optimized for deep learning, offering multimodal data storage, querying, vector search, and streaming for LLM and deep learning applications.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, specifically designed for AI agents with secure Python UDF sandboxes.

A user-friendly, versatile fine-tuning kit for image, video, and audio diffusion models, emphasizing simplicity and cutting-edge features.

An open-source platform for developers to anonymize PII, generate synthetic data, and sync environments, enabling secure testing and compliance.

A high-performance data engine for AI and multimodal workloads, processing diverse data types at scale with Python and Rust.

An open-source, cost-effective observability platform for logs, metrics, traces, and RUM, offering significant storage cost savings and high performance.