Logical Clocks Blog - Machine and Deep Learning Blog

Sysbench Evaluation of RonDB

We have integrated Sysbench into the RonDB installation facilitate running benchmarks with RonDB. This blog will describe the use of these benchmarks in RonDB.

Mikael Ronström

How to build ML models with fastai and Jupyter in Hopsworks

This tutorial gives an overview of how to work with Jupyter on the platform and train a state-of-the-art ML model using the fastai python library.

Robin Andersson

Software engineer

Scalable metadata: the new breed of file systems (em)powering big data companies.

HopsFS is an open-source scaleout metadata file system, but its primary use case is not Exabyte storage, rather customizable consistent metadata.

Distributed ML Experiments on Databricks with Maggy

Learn how to train a ML model in a distributed fashion without reformatting our code on Databricks with Maggy, open source tool available on Hopsworks.

Riccardo Grigoletto

Software Engineer

How to manage Python libraries in Hopsworks

This tutorial will show an overview of how to install and manage Python libraries in the platform.

Robin Andersson

Software engineer

RonDB 21.04.0: Open Source Installation Now Available

The first release of RonDB is now available. RonDB 21.04.0 brings new documentation, community support, 3x improved performance, bug fixes and new features.

Mikael Ronström

From 100 to ZeRO: PyTorch and DeepSpeed ZeRO on any Spark Cluster with Maggy

Use open-source Maggy to write and debug PyTorch code on your local machine and run the code at scale without changing a single line in your program.

Software Engineer

Beyond Brainless AI with a Feature Store

Evolve your models from stateless AI to Total Recall AI with the help of a Feature Store

RonDB, automatic thread configuration

RonDB enables users to have full control over the assignment of threads to CPUs, how the CPU locking is to be performed and how the thread should be scheduled.

Mikael Ronström

February 26, 2021

AI/ML needs a Key-Value store, and Redis is not up to it

RonDB shows higher availability and the ability to handle larger data sets in comparison with Redis, paving the way to be the fastest key-value store available.

Mikael Ronström

February 25, 2021

How to Engineer and Use Features in Azure ML Studio with the Hopsworks Feature Store

Learn how to design and ingest features, browse existing features, create training datasets as DataFrames or as files on Azure Blob storage.

Software Engineer

February 24, 2020

RonDB: The World's Fastest Key-value Store is now in the Cloud.

RonDB is a managed key-value store with SQL capabilities. It provides the best low-latency, high throughput, and high availability database available today.

Mikael Ronström

February 9, 2021

How to transform Amazon Redshift data into features with Hopsworks Feature Store

Connect the Hopsworks Feature Store to Amazon Redshift to transform your data into features to train models and make predictions.

Ermias Gebremeskel

Software engineer

January 14, 2021

Elasticsearch is dead, long live Open Distro for Elasticsearch

Hopsworks now supports dynamic role-based access control to indexes in elasticsearch with no performance penalty by building on Open Distro for Elasticsearch.

Software engineer

November 19, 2020

HopsFS: 100x Times Faster than AWS S3

HopsFS-S3: cloud-native distributed hierarchical file system that has the same cost as S3, but has 100X the performance of S3 for file move/rename operations.

Software engineer

November 17, 2020

Hopsworks 2.0: The Next Generation Platform for Data-Intensive AI with a Feature Store

Hopsworks is the world's first Enterprise Feature Store along with an advanced end-to-end ML platform.

Theofilos Kakantousis

November 17, 2020

Hopsworks: World’s Only Cloud Native Feature Store, now Available on AWS and Azure.

Hopsworks is now available as a managed platform for Amazon Web Services (AWS) and Microsoft Azure with a comprehensive free tier.

Steffen Grohsschmiedt

November 17, 2020

Hopsworks Feature Store API 2.0, a new paradigm.

Hopsworks Feature Store API was rebuilt from the ground based on our extensive experience working with enterprise users requirements.

October 23, 2020

Feature Store for MLOps? Feature reuse means JOIN

Use JOINs for feature reuse to save on infrastructure and the number of feature pipelines needed to maintain models in production.

October 8, 2020

ML Engineer Guide: Feature Store vs Data Warehouse

A data warehouse is an input to the Feature Store. A data warehouse is a single columnar database, while a feature store is implemented as two databases.

September 30, 2020

One function is all you need for ML Experiments

Hopsworks supports machine learning experiments to track and distribute ML for free and with a built-in TensorBoard.

Robin Andersson

Software engineer

ROI of Feature Stores

This blog analyses the cost-benefits of Feature Stores for Machine Learning and estimates your return on investment with our Feature Store ROI Calculator.

How we secure your data with Hopsworks

Integrate with third-party security standards and take advantage from our project-based multi-tenancy model to host data in one single shared cluster.

Antonios Kouzoupis

Software engineer

Beyond Self-Driving Cars: Four Use Cases of Machine Learning in the Automotive Industry

Feature store as a new element and AI tool in the machine learning systems for the automotive industry.

Unifying Single-host and Distributed Machine Learning with Maggy

Try out Maggy for hyperparameter optimization or ablation studies now on Hopsworks.ai to access a new way of writing machine learning applications.

Software Engineer

Manage your own Feature Store on Kubeflow with Hopsworks

Learn how to integrate Kubeflow with Hopsworks and take advantage of its Feature Store and scale-out deep learning capabilities.

How to Build your own Feature Store

Given the increasing interest in feature stores, we share our own experience of building one to help others who are considering following us down the same path.

Hopsworks Feature Store for AWS SageMaker

Integrate AWS SageMaker with Hopsworks to manage, discover and use features for creating training datasets and for serving features to operational models.

Introducing Hopsworks.ai

Get started with Hopsworks.ai to effortlessly launch and manage Hopsworks clusters in any AWS account that also integrates with Databricks and AWS SageMaker.

Steffen Grohsschmiedt

Hopsworks Feature Store for Databricks

This article introduces the Hopsworks Feature Store for Databricks, and how it can accelerate and govern your model development and operations on Databricks.

ExtremeEarth scales AI to the Earth Observation Community with Hopsworks

How ExtremeEarth Brings Large-scale AI to the Earth Observation Community with Hopsworks, the Data-intensive AI Platform

Theofilos Kakantousis

February 20, 2020

Towards better AI-models in the betting industry with a Feature Store

Introducing the feature store which is a new data science tool for building and deploying better AI models in the gambling and casino business.

February 14, 2020

MLOps with a Feature Store

How the Feature Store enables monolithic end-to-end ML pipelines to be decomposed into feature pipelines and model training pipelines.

February 17, 2020

Introducing the Hopsworks 1.x series!

The Hopsworks 1.x series has updates to the Feature Store, a new Experiments framework for ML, and connectivity with external systems (Databricks, Sagemaker).

Theofilos Kakantousis

November 27, 2019

AI & Deep Learning for Fraud & AML

Anomaly detection and Deep learning for identifying money laundering . Less false positives and higher accuracy than traditional rule-based approaches.

October 25, 2019

Guide to File Formats for Machine Learning: Columnar, Training, and Inferencing

This is a guide to file formats for ml in Python. The Feature Store can store training/test data in a file format of choice on a file system of choice.

October 14, 2019

Hello Asynchronous Search for PySpark

Hopsworks supports easy hyperparameter optimization (both synchronous and asynchronous search), distributed training using PySpark, TensorFlow and GPUs.

Software Engineer

October 14, 2019

Welcoming AMD/ROCm to Hopsworks

Hopsworks now supports AMD GPUs and ROCm for deep learning, enabling developers to train deep learning models on AMD GPU hardware using TensorFlow.

Robin Andersson

Software engineer

October 22, 2018

Goodbye Horovod, Hello CollectiveAllReduce

Hopsworks is replacing Horovod with Keras/TensorFlow’s new CollectiveAllReduceStrategy , a part of Keras/TensorFlow Estimator framework.

Robin Andersson

Software engineer

Introducing Hopsworks

Hopsworks is a data platform that integrates popular platforms for data processing such as Apache Spark, TensorFlow, Hops Hadoop, Kafka, and many others.

September 28, 2018

Optimizing GPU utilization in Hops

How we use dynamic executors in PySpark to ensure GPUs are only allocated to executors only when they are training neural networks.

Robin Andersson

Software engineer

October 3, 2018

Millions and millions of files for Deep Learning with HopsFS

Datasets used for deep learning may reach millions of files. The well known image dataset, ImageNet, contains 1m images, and its successor, the Open Images...

October 17, 2018

Why you need a Distributed Filesystem for Deep Learning

When you train deep learning models with lots of high quality training data, you can beat state-of-the-art prediction models in a wide array of domains.

November 20, 2018

Logical Clocks raises Seed Funding

Today, we are announcing that we have raised €1.25 million in seed funding, led by Inventure with participation by Frontline Ventures and AI Seed.

December 18, 2018

When Deep Learning with GPUs, use a Cluster Manager

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.

December 30, 2018

Feature Store: The Missing Data Layer in ML Pipelines?

A Feature Store stores features. We go through data management for deep learning and present the first open-source feature store now in Hopsworks' ML Platform.

Software engineer

Logical Clocks AB are the makers of Hopsworks, a data-intensive AI platform with a Feature Store.

Hopsworks For SageMaker For Databricks

Healthcare Finance Automotive Betting

Blog Newsletter Events Webinars Newsroom Community Research Whitepapers

About Us Career Contact