Tigris now supports recent releases of the S3 SDK
You can update your S3 libraries again. All is good.
How do large language models get so large?
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…
If you've upgraded boto3 or the JavaScript S3 client in the last week, uploading files won't work. Here's how to fix it.
If you've recently upgraded boto3 or the JavaScript S3 client, file uploads may fail due to a required Content-Length header. Downgrade boto3 to version 1.35.x and the JavaScript client to v3.728.0 to resolve this issue until Tigris releases an update for compatibility with new versions.
Using Tigris as a Filesystem
Object storage can be used as a filesystem in Kubernetes with the right setup. Here's how I set it up on my homelab cluster and the tradeoffs I made in the process.
How Beam runs GPUs anywhere
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 with Big Data on Any Cloud
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 a…
Nomadic Infrastructure Design for AI Workloads
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 m…
Tigris supports Storage Tiers
Tigris now supports storage tiers! Optimize your storage cost based on access patterns with three tiers: Standard, Infrequent Access, and Archive.
How we built object notifications in Tigris
Tigris now supports object notifications! Object notifications are how you receive events every time something changes in a bucket. This post is a deep dive into the implementation of object notifications in Tigris.
Becoming your own Docker Registry with 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 be…
We're making our availability metrics public
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…
How fal.ai offers the fastest generative ai in the world
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…