Tigris Blog

Your AI workflows rely on models that other people post on the Internet. How can you be sure that they'll stay up? Today Xe covers the history of the infamous left-pad incident of 2016 and how it could happen again with AI.

DeepSeek R1 is a frontier-grade reasoning model that you can run on your own hardware. In this article, Xe digs through the papers and slices past the hype to explain what DeepSeek R1 really gives users and how the model is revolutionary for what it is.

Learn how Beam offers serverless GPUs optimized for developer productivity, across many clouds. By moving object storage to a separate managed service, Beam no longer needed to worry about it as another variable when designing for consistency across clouds.

Training AI models on Big Data can be challenging due to the need for flexible storage and compute. Tigris, a cloud-agnostic storage layer, enables decoupling of storage from compute, making it easier to manage data and model weights across clouds. Tools like SkyPilot that abstract cloud providers and operating system configuration simplifies the compute layer, allowing for seamless data transfer between clouds using Tigris.

Tigris lets you store your objects around the world so that you beat the speed of light getting your data to your users faster. Sometimes those include Docker images so that you can spin up more GPU time without having to download or manage your models separately. Join on in and learn how you can become your own Docker registry!

Learn how fal.ai offers the fastest generative ai in the world by using Tigris for object storage. Finding a storage solution built for an extremely performant global deployment was essential to keeping fal.ai accessible to a broad range of developers. Tigris not only was just crazy fast, it saved fal.ai 85% on their object storage costs as compared to other clouds.

Tigris offers pretty great object storage, but the S3 API has its limits. Here I show how you can use JuiceFS to turn your bottomless Tigris storage into a FUSE mounted filesystem where we persist model data for more efficiently running production-scale Ollama on Fly.io

Tigris is a globally distributed S3-compatible object storage solution available that is nativeliy integrated with Fly.io. In this article, we'll explore creating AI-generated images using the Stability API and storing them in a Tigris bucket for easy and fast retrieval.