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December 9, 2024
16 min
Read

Hopsworks PKI: The Unseen Hero

In this article we explore how our Public Key Infrastructure has changed over the years coming to its current form, a Kubernetes first-class citizen.

Antonios Kouzoupis
November 19, 2024
16 min
Read

Air-gapped Installations in Hopsworks

In this tutorial, we walk you through how we install air-gapped environments in Hopsworks and how we extended this process to test air-gapped installations as well.

Javier Cabrera
May 13, 2024
10 min
Read

Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

The third edition of the LLM Makerspace dived into an example of an LLM system for detecting check fraud.

Jim Dowling
April 11, 2024
6 min
Read

Build Your Own Private PDF Search Tool

A summary from our LLM Makerspace event where we built our own PDF Search Tool using RAG and fine-tuning in one platform. Follow along the journey to build a LLM application from scratch.

Jim Dowling
April 2, 2024
7 min
Read

Unlocking the Power of Function Calling with LLMs

This is a summary of our latest LLM Makerspace event where we pulled back the curtain on a exciting paradigm in AI – function calling with LLMs.

Jim Dowling
January 16, 2024
13 min
Read

Multi-Region High Availability Comes to Feature Stores

Following our previous blog, we expand on the architecture to fit a Tier 1 classification where all components of Hopsworks are replicated in a different geographical region.

Antonios Kouzoupis
November 30, 2023
20 min
Read

Feature Engineering with DBT for Data Warehouses

Read about the advantages of using DBT for data warehouses and how it's positioned as a preferred solution for many data analytics and engineering teams.

Kais Laribi
October 26, 2023
8 min
Read

How to Build a Python Environment with Custom Docker Commands

With the latest version of Hopsworks we introduce new capabilities such as running custom bash commands and a improved UI which shows you the history of the python environment.

Gibson Chikafa
October 5, 2023
17min
Read

Facebook Prophet for Time-Series Machine Learning

Time-series data consists of records in chronological order and is crucial for forecasting trends and patterns. In this blog, we take a look at how to use Facebook Prophet for time-series forecasting.

Kais Laribi
July 11, 2023
17
Read

MLOps vs. DevOps: Best Practices, Challenges and Differences

Explore the convergence of MLOps and DevOps. Learn about their purposes, differences, and areas of integration and discover best practices, challenges, and their future potential.

Prithivee Ramalingam
February 2, 2023
30 min
Read

Feature Store: The missing data layer for Machine Learning pipelines?

In this blog, we discuss the state-of-the-art in data management and machine learning pipelines (within the wider field of MLOps) and present the first open-source feature store, Hopsworks.

Jim Dowling
May 27, 2022
15 min
Read

Feature Types for Machine Learning

Programmers know data types, but what is a feature type to a programmer new to machine learning, given no mainstream programming language has native support for them?

Jim Dowling
January 17, 2022
5 min
Read

Model analysis on the What-If framework for TensorFlow on Hopsworks

We introduce how to use the What-If Tool as a Jupyter plugin on Hopsworks to build better machine learning models by making it easier to ask counterfactual questions about your model’s behaviour.

Anastasiia Andriievska
January 14, 2021
13 min
Read

Elasticsearch is dead, long live Open Distro for Elasticsearch

In this blog, we describe how we leverage the authentication and authorization support in Open Distro for Elasticsearch to make elasticsearch a project-based multi-tenant service in Hopsworks.

Mahmoud Ismail
November 27, 2019
18 min
Read

Deep Learning for Anti-Money Laundering with a feature store

Deep learning is now the state-of-the-art technique for identifying financial transactions suspected of money laundering. It delivers a lower number of false positives and with higher accuracy.

Jim Dowling
October 25, 2019
18 min
Read

Guide to File Formats for Machine Learning

This blog is a guide to the popular file formats used in open source frameworks for machine learning in Python, including TensorFlow/Keras, PyTorch, Scikit-Learn, and PySpark.

Jim Dowling
December 18, 2018
10 min
Read

Deep Learning: Use a Cluster Manager for GPUs

If you are employing a team of Data Scientists for Deep Learning, a cluster manager to share GPUs between your team will maximize utilization of your GPUs.

Jim Dowling
October 17, 2018
8 min
Read

What is Distributed File Systems (DFS) and why you need it for Deep Learning

Why HopsFS is a great choice as a distributed file system (DFS) in a time when DFS is becoming increasingly indispensable as a central store for training data, logs, model serving, and checkpoints.

Jim Dowling