Skip to main content

Blog posts tagged
"Kubeflow"

Bartłomiej Poniecki-Klotz
10 February 2022

Deploying Kubeflow Pipelines with Azure AKS spot instances

AI Article

Introduction Charmed Kubeflow is an MLOps platform from Canonical, designed to improve the lives of data engineers and data scientists by delivering an end-to-end solution for AM/ML model ideation, training, release and maintenance, from concept to production. As a result, Charmed Kubeflow includes Kubeflow Pipelines, an engine for orches ...

aymen frikha
28 July 2021

From notebooks to pipelines with Kubeflow KALE

AI Article

What is Kubeflow? Kubeflow is the open-source machine learning toolkit on top of Kubernetes. Kubeflow translates steps in your data science workflow into Kubernetes jobs, providing the cloud-native interface for your ML libraries, frameworks, pipelines and notebooks. Read more about Kubeflow Notebooks in Kubeflow Within the Kubeflow dashb ...

Rui Vasconcelos
17 May 2021

A guide to ML model serving

AI Article

TL;DR: How you deploy models into production is what separates an academic exercise from an investment in ML that is value-generating for your business. At scale, this becomes painfully complex. This guide walks you through industry best practices and methods, concluding with a practical tool, KFServing, that tackles model serving at scal ...

Rui Vasconcelos
23 April 2021

What is KFServing?

AI Article

TL;DR: KFServing is a novel cloud-native multi-framework model serving tool for serverless inference. A bit of history KFServing was born as part of the Kubeflow project, a joint effort between AI/ML industry leaders to standardize machine learning operations on top of Kubernetes. It aims at solving the difficulties of model deployment to ...

amber-charitos
21 April 2021

Deploying Mattermost and Kubeflow on Kubernetes with Juju 2.9

Charms Article

Since 2009, Juju has been enabling administrators to seamlessly deploy, integrate and operate complex applications across multiple cloud platforms. Juju has evolved significantly over time, but a testament to its original design is the fact that the approach Juju takes to operating workloads hasn’t fundamentally changed; Juju still provid ...

anastasiavalti
16 April 2021

KubeCon co-located events: Operator Day is back!

Kubernetes Article

RSVP What is Operator Day? Another KubeCon is just around the corner and, due to popular demand, we’re hosting Operator Day again! Designed for KubeCon, but free and open to all. Last year, thousands of you joined us to get hands-on training from Ubuntu’s experts, so this time around we’re making the workshop even more elaborate and inter ...

aymen frikha
24 March 2021

AI on premise: benefits and a predictive-modeling use case

AI Article

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of Juju, a charmed Operator Lifecycle Man ...

Andreea Munteanu
5 March 2021

Code the future together using Ubuntu

Cloud and server Article

Where: CodeMotion 2021 – Italian edition When: March 23rd – 25th 2021 Location: virtual Italian space Get your ticket Described by the organisers as an event made by developers for developers, CodeMotion is an event that we love to attend. In November last year, we announced that Ubuntu wanted to code the future of Italy ...

Andreea Munteanu
11 February 2021

Can AI help redefine the future of finserv?

AI Article

The last few years has been a time of major disruption in the Finserv sector. Artificial Intelligence (AI) technology has emerged as an important tool for providers of financial products and services to deliver more personalised and more sophisticated services to customers faster. The financial services sector is at the beginning of an ex ...

Maciej Mazur
5 February 2021

AI in telecom: an overview for data scientists

Kubeflow Article

AI in telecom is more complicated due to regulatory and security requirements. With containers setting up an environment for data scientists is much easier. ...

Rui Vasconcelos
4 November 2020

Deploying Kubeflow everywhere: desktop, edge, and IoT devices

AI Article

Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! 🚀 Data science workflows on Kubernetes Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow Cloud-native MLOps toolkit gets heavy To make Kubeflo ...

  1. Previous page
  2. 4
  3. 5
  4. 6
  5. 7
  6. 8
  7. Next page