Unveiling the Core of Instacart’s Griffin 2.0: A Deep Dive into the Machine Learning Training Platform

How It's Made

Unveiling the Core of Instacart’s Griffin 2.0: A Deep Dive into the Machine Learning Training Platform

Authors: Han Li, Sahil Khanna, Jocelyn De La Rosa, Moping Dou, Sharad Gupta, Chenyang Yu and Rajpal Paryani Background About a year ago, we introduced the first version of Griffin, Instacart’s first ML Platform, detailing its development and support for end-to-end ML in…...

Nov 22, 2023
Read time: 9min
Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform

How It's Made

Introducing Griffin 2.0: Instacart’s Next-Gen ML Platform

Authors: Rajpal Paryani, Han Li, Sahil Khanna, Walter Tuholski Background Griffin is Instacart’s Machine Learning (ML) platform, designed to enhance and standardize the process of developing and deploying ML applications. It significantly accelerated ML adoption at Instacart by tripling…...

Nov 22, 2023
Read time: 9min
The Economics Team at Instacart

How It's Made

The Economics Team at Instacart

Tilman Drerup, Levi Boxell, and Robert Fletcher Tech firms are increasingly choosing to hire graduates from PhD programs in economics [1, 2, 3]. In this blog post, we present the economics team at Instacart and our take…...

Nov 22, 2023
Read time: 7min
Scaling Productivity with Ava — Instacart’s Internal AI Assistant

How It's Made

Scaling Productivity with Ava — Instacart’s Internal AI Assistant

By Zain Adil, Kevin Lei and Ada Cohen Over the past few months, we’ve been building an internal AI assistant powered by OpenAI’s GPT-4 and GPT-3.5 models called Ava. Ava has seen accelerated adoption at…...

Sep 7, 2023
Read time: 6min
Instacart’s Item Availability Architecture: Solving for scale and consistency

How It's Made

Instacart’s Item Availability Architecture: Solving for scale and consistency

By Michael Prescott This blog post is the last segment in a three-part series that outlines our innovative approach to overcoming inventory challenges, delving into the application of product design, machine learning, and engineering technology.…...

Sep 6, 2023
Read time: 9min
Adopting dbt as the Data Transformation Tool at Instacart

How It's Made

Adopting dbt as the Data Transformation Tool at Instacart

By James Zheng At Instacart, datasets are transformed for use in analytics, experimentation, machine learning, and retailer reporting. We use these datasets to make key business decisions that provide better experiences for our customers and…...

Aug 17, 2023
Read time: 14min
The Next Era of Data at Instacart

How It's Made

The Next Era of Data at Instacart

By Nate Kupp Data is an integral part of how we do business at Instacart: for informing decisions, providing insights into how our users interact with the product, supporting ML/AI use, and much more. Over…...

Aug 16, 2023
Read time: 9min
Supercharging ML/AI Foundations at Instacart

How It's Made

Supercharging ML/AI Foundations at Instacart

By Haixun Wang and Jagannath Putrevu Machine Learning (ML) is one of the most impactful technology levers we have at Instacart to make our services better and help our customers, shoppers, retailers, and brand partners.…...

Aug 15, 2023
Read time: 11min
Zero-Downtime PostgreSQL Cutovers

How It's Made

Zero-Downtime PostgreSQL Cutovers

Authors: Brad Nicholson, Andrew Tanner, Marco Montagna Instacart runs one of the largest PostgreSQL fleets on top of AWS RDS, and part of managing a fleet like this is to keep it up to date.…...

Jul 17, 2023
Read time: 10min
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