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Tigris Blog

A multi-cloud, S3-compatible object storage service for low latency data access anywhere.

Build better AI agents with bucket forkingBuild better AI agents with bucket forking

Prevent rogue agent behavior by giving every agent an instant, isolated bucket fork—no data duplication, safe concurrency, and easy rollback with snapshots.
· 8 min read

How we make TyHow we make Ty

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.
· 7 min read

Flux Kontext vs Nano BananaFlux Kontext vs Nano Banana

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

Distributed Training with LanceDB and TigrisDistributed Training with LanceDB 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.
· 12 min read

Build a text-to-video app with Veo3 and TigrisBuild a text-to-video app with Veo3 and Tigris

Learn how to build a text-to-video generation app using Google's Veo3 model and Tigris object storage to create high-quality video content from text prompts.
· 9 min read

I Tested Qwen Image's Text Rendering Claims. Here's What I Found.I Tested Qwen Image's Text Rendering Claims. Here's What I Found.

Alibaba's new open-weights Qwen Image model shows promise in text rendering but struggles with making the text appear natural. Sometimes it just looks like it was photoshopped in because that's how they assembled the training data.
· 13 min read

Using Hugging Face datasets with TigrisUsing Hugging Face datasets with Tigris

Let your datasets roam freely between the multicloud with Tigris! Today you'll learn how to import your datasets into Tigris in a snap.
· 6 min read