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Blog posts tagged
"AI/ML"

Bartłomiej Poniecki-Klotz
13 April 2022

MLOps Pipeline with MLFlow, Seldon Core and Kubeflow

AI Article

MLOps pipelines are a set of steps that automate the process of creating and maintaining AI/ML models. In other words, Data Scientists create multiple notebooks while building their experiments, and naturally the next step is a transition from experiments to production-ready code. The best way to do this is to build an effective MLOps pip ...

Maciej Mazur
10 December 2021

WSL for data scientist

AI Article

Windows Subsystem for Linux for data scientists Ubuntu is the number one choice for data scientists worldwide. It is also by far the most popular Linux distribution used on public clouds with machine learning offerings. However, we don’t forget about our Windows friends – many of whom had their operating system chosen by corporate IT ...

Tytus Kurek
14 October 2021

Ubuntu Server 21.10: What’s new?

Cloud and server Article

Ubuntu Server 21.10 (Impish Indri) expands on edge use cases with a minimised system installation option in the Ubuntu Server Live Installer, and native, certified drivers for NVIDIA vGPU software on Ubuntu 20.04 LTS and 18.04 LTS, fully supporting sophisticated AI/ML workloads. ...

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 ...

Kris Sharma
23 April 2021

Fintech AI/ML on Ubuntu

Financial Services Article

The financial services (FS) industry is going through a period of change and disruption. Technology innovation has provided the means for financial institutions  to reimagine the way in which they operate and interact with their customers, employees and the wider ecosystem. One significant area of development is the utilisation of artific ...

anastasiavalti
13 April 2021

Telecom AI: a guide for data teams

Telecommunications Article

Data is the new oil, and Artificial Intelligence is the way to monetize it. According to an IDC report, Artificial Intelligence (AI), alongside 5G, IoT, and cloud computing, is one of the technologies reshaping the telecom industry. From data-driven decisions to fully automated and self-healing networks, AI developments are accelerating i ...

anastasiavalti
13 April 2021

Security at the Edge: hardware accelerated AI-based cybersecurity with Canonical Ubuntu and the BlueField-2 DPU

AI Article

During GTC last fall, NVIDIA announced an increased focus on the enterprise datacenter, including their vision of the datacenter-on-a-chip. The three pillars of this new software-defined datacenter include the data processing unit (DPU) along with the CPU and GPU. The NVIDIA BlueField DPU advances SmartNIC technology, which NVIDIA acquire ...

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 ...

Rui Vasconcelos
28 October 2020

Kubeflow operators: lifecycle management for data science

AI Article

Canonical, the publisher of Ubuntu, releases Charmed Kubeflow, a set of charm operators to deliver the 20+ applications that make up the latest version of Kubeflow, for easy consumption anywhere, from workstations to on-prem, public cloud, and edge. > Visit Charmed-kubeflow.io to learn more. Kubeflow, the ML toolkit on K8s Kubeflow provid ...

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