Tigris Blog

Learn how AutoMQ paired with Tigris object storage redefines Kafka scaling by eliminating replication overhead, enabling instant partition reassignment, and delivering a fully elastic, cloud-native streaming engine.

Tigris bucket forking lets you make copies of terabytes of data in microseconds thanks to making objects immutable and ordering time backwards. This gives you object-level snapshotting, forking, and strong deletion protection, revolutionizing object storage with Git-like forking for massive datasets. Learn more about how we made it happen!

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.

LogSeam transforms log management with Tigris, achieving massive cost savings and performance improvements in their security data lake architecture.

How AI is transforming software development from autocomplete to autonomous agents, and what this means for the future of coding.

AI models, comprised mainly of floating-point numbers, function by processing inputs through various components like tokenizers and embedding models. They range in size from gigabytes to terabytes, with larger parameter counts enhancing performance and nuance representation. How do they get so large though?

This AI stuff is cool, but GPU inference is not needed all of the time. Most of the time your instances stay idle, which means you're just burning investor money without any real benefit. Today we'll learn how to make your compute spread between hosts nomadically, hunting deals and using Tigris to make it all possible.

We're Tigris, a globally distributed object storage platform built for high-performance workloads. We're making our reliability metrics public! Check out our live dashboard and see how we're providing 99.99% global availability. We're pretty sure we're the first to share this type of live production data publicly.