Tigris Blog

Want to get started training your language models using PyTorch and Tigris? Here's how to get started!

Five talks we're most excited about at PyTorch Conference 2025, showcasing innovation in AI infrastructure, storage, and performance optimization.

Led by Spark Capital, with participation from Andreessen Horowitz and others

Learn how we create AI-generated illustrations featuring Ty the tiger for our blog posts, including the creative process and the open-source Tygen app built with Go, HTMX, and OpenAI API.

We compared Flux Kontext, Nano Banana and Image GPT models. Find out which one is the best for your use case.

Introducing the Tigris Storage SDK for JavaScript and TypeScript - a simplified alternative to AWS S3 SDK with environment-based configuration, error-as-values pattern, and streamlined object storage operations.

How Tigris uses Prometheus metrics for usage-based billing instead of traditional event-driven systems, reducing complexity while ensuring transparency and customer-friendly error handling.

Get unlimited message retention and truly global operation with Bufstream and Tigris.

Discover how to efficiently train large-scale ML models using LanceDB and Tigris. This guide details streaming massive datasets directly from object storage to PyTorch, simplifying distributed training and eliminating infrastructure complexities for scalable AI.