Tigris Blog

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.

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?

There has been a lot of enthusiasm about the recent announcement by AWS about support for Conditional Writes in S3. We will dive into why this is a big deal and what it means for developers. We will also explore CAS operations and how they relate to S3 Conditional Writes feature. Finally, we will discuss whether developers can now avoid client-side consensus mechanisms completely when using S3.

Tigris is a globally distributed S3-compatible object storage solution available that can easily be hosted on Fly.io. In this article, we'll explore how Tigris fits into the existing slate of object storage options and why you might choose one over the other.

Tigris is a globally distributed object storage service that provides low latency anywhere in the world, enabling developers like you to store and access any amount of data using the S3 libraries you're already using in production. Today, we're launching our public beta on top of Fly.io.

Tigris is a globally available, S3 compatible object storage service. Tigris uses FoundationDB's transactional key-value interface for its underlying metadata storage. In the first post of the series we will share the details of how we have built the metadata layer on top of FoundationDB. We will cover the topics data layout, and schema management.

Tigris is a globally available, S3 compatible object storage service. In the first post of the series we will share the details of how we have built the authentication and authorization support in Tigris.

Building secondary indexes for is always about balance. A balance between a system that scales and is easy to manage and an API that is intuitive and delightful for a developer to use. Recently at Tigris Data, we have been adding secondary indexes to our metadata store that runs on top of FoundationDB and have been working hard to achieve a good balance between scale and developer delight. In a recent FoundationDB meetup, I presented on how Tigris looks to get the balance right with our secondary indexes.

Client-side encryption, a fortress of digital privacy, empowers users to safeguard their information with an impenetrable shield. By arming individuals with the cryptographic key to their data, this formidable approach ensures an unparalleled level of control, fortifying the sanctity of personal information against prying eyes and potential breaches.