Rui Vasconcelos

Rui Vasconcelos

7 posts

Product Manager

Rui Vasconcelos
17 May 2021

A guide to ML model serving

Article AI

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...

Rui Vasconcelos
17 May 2021

Rui Vasconcelos
23 April 2021

What is KFServing?

Article AI

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...

Rui Vasconcelos
23 April 2021

Rui Vasconcelos
4 November 2020

Deploying Kubeflow everywhere: desktop, edge, and IoT devices

Article AI

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...

Rui Vasconcelos
4 November 2020

Rui Vasconcelos
28 October 2020

Kubeflow operators: lifecycle management for data science

Article AI

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...

Rui Vasconcelos
28 October 2020

Rui Vasconcelos
2 July 2020

Building Kubeflow pipelines: Data science workflows on Kubernetes – Part 2

Article AI

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Introduction Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the...

Rui Vasconcelos
2 July 2020

Rui Vasconcelos
24 June 2020

Demystifying Kubeflow pipelines: Data science workflows on Kubernetes – Part 1

Article AI

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase...

Rui Vasconcelos
24 June 2020

Rui Vasconcelos
26 May 2020

Kubernetes for Data Science: meet Kubeflow

Article AI

Deep Learning is set to thrive Data science has exploded as a practice in the past decade and has become an undisputed driver of innovation. The forcing factors behind the rising interest in Machine Learning, a not so new concept, have consolidated and created an unparalleled capacity for Deep Learning, a subset of...

Rui Vasconcelos
26 May 2020