Custom LLMs in Your Own Cloud

The engineering platform to fine-tune and serve any open-source LLM on state-of-the-art-infrastructure hosted within your cloud.

Try Predibase Request Demo

FROM THE CREATORS OFLudwig & Horovod

Built by AI leaders from Uber, Google, Apple and Amazon. Developed and deployed with the world’s leading organizations.

Survey Report: Beyond the Buzz - Large Language Models in Production

Insights from 150 execs, data scientists, developers and product managers on the top challenges putting LLMs into production, best practices for customizing LLMs, and recommendations for success.

Download the Report

The Fastest Way to Build & Deploy Custom Models

Finetune and serve any ML and large language model in just a few lines of code or clicks—all within your environment, using your data, on top of a proven scalable infrastructure. Built by the team that did it all at Uber.

Build Models in Minutes

We automate the boring stuff like writing complex code so you can deliver value faster. With our declarative approach, you can accelerate AI projects with simplified training on any multi-modal dataset for any use case. Instantly connect data and start building a custom ML model or querying a pretained LLM such as Vicuna, OpenLlama, or Dolly without writing 100s of lines of low-level code.

Finetune without the Fuss

Manage, compare, and customize your models with granular-level control. Smart recommendations provided by our Data Science Copilot help you improve models while a robust set of tuning options enable experts to change anything from model weights to text encoders. Best of all, the models are your own—no more relying on external APIs.

Deploy like a Pro

Productionize AI applications without being an infra expert. Fully managed and built on Horovod and Ray, Predibase provides a flexible and scalable model serving infrastructure for batch and real-time inference. Our adaptive engines right-size compute for the demands of your job and you choose how you’d like to deploy—within the walls of your VPC, on the Predibase cloud, or export models for external use.

The time it takes to build production models on top of Snowflake has been reduced from months to minutes and at a fraction of the cost. We’ve built powerful in-platform intelligence that helps our customers gain an edge.

Anand Gomes, CEO, Paradigm

Production AI in Record Time

Ship models faster with the first end-to-end AI platform that’s simple enough for beginners and powerful enough for experts.

Your Models, Your Property

Start owning and stop renting ML models. The models you build and customize on Predibase are your property, deployed securely inside your VPC, with full data privacy.

Designed for Developers

Built by developers, for developers. Predibase enables any software engineer to do the work of an ML engineer in an easy-to-understand declarative way.

Managed Serverless Infrastructure

Stop wasting time managing distributed clusters–get fully managed, optimized compute configured for your needs without all the time and cost.

Built on Proven Open Source Technology

Ludwig

Ludwig is a deep learning toolbox to declaratively develop, train, fine-tune, test and deploy state-of-the-art models. Ludwig puts deep learning in the hands of analysts, engineers and data scientists without requiring low-level ML code.

Horovod

Horovod is a distributed deep learning framework that scales PyTorch and TensorFlow training to hundreds of machines. It supports Tensorflow, Keras, Pytorch, Apache MXNet and has been used to productionize deep learning models across industries

Use Cases

Predibase works across any supervised machine learning use case, so if you have labeled or historical data, our platform can learn from those patterns and apply it to use cases such as: