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Blog posts tagged "machine learning"

Machine Learning Operations (MLOps): Deploy at Scale

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions. Following on from our webinar ‘Getting started with AI’, this webinar will dive into what succe

Getting started with AI

From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges. But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security,

Machine Learning: serving models with Kubeflow on Ubuntu, Part 1

This article is the first in a series of machine learning articles focusing on model serving. I assume you’re reading this article because you’re excited about machine learning and quite possibly Kubeflow as well. You might have done some model training and are now trying to understand how to serve those models in production. There

Kubeflow at KubeCon Europe 2019 in Barcelona

Kubeflow, the Kubernetes native application for AI and Machine Learning, continues to accelerate feature additions and community growth. The community has released two new versions since the last Kubecon – 0.4 in January and 0.5 in April – and is currently working on the 0.6 release, to be released in July. The key features in

Ubuntu at GTC Europe 2018

GTC Europe 2018 Date: October 9 – 11, 2018 Location: Messe Munchen GmbH, Messegelande, 81823, Munich, Germany Venue: ICM – Internationales Congress Center Munich Booth: S11 Join Canonical at GTC Europe 2018 in Munich, Germany from the 9th of October through the 11th, where we will be showcasing our technologies across AI/ML. Canonical wil

Introducing the Dell Precision 7530 and 7730 with Ubuntu

We’re excited to see Dell announce the availability of the latest Precision mobile workstations which come preinstalled with Ubuntu 16.04 LTS. Canonical have been part of Dell’s Project Sputnik since Day 1, and over 5 years later we are excited to see continuous innovation in open source computing solutions. The Dell Precision 7530 and 77

Kubernetes and OpenStack solving AI complexities at scale

Stu Miniman and John Boyer of theCUBE interviewed Stephan Fabel, Director of Ubuntu Product and Development at the OpenStack Summit in Vancouver. Read on for the full interview, and to hear more on Kubernetes, Kubeflow and MicroK8s. OpenStack has entered a new phase, maturing to a point where those in attendance are serious about open

OpenStack Summit Vancouver 2018

Event Details Date: May 21-24 Location: Vancouver, BC Venue: Vancouver Convention Centre East Booth: B7 Event Link: https://www.openstack.org/summit/vancouver-2018   Event Background OpenStack Summit is the leading event in Open Infrastructure, bringing together the builders and operators for sessions and workshops on containers, CI/CD, t

KubeCon + CloudnativeCon Europe 2018

Date: May 2-4 Location: Copenhagen, Denmark Venue: Bella Center Copenhagen Booth: G-C05 The Cloud Native Computing Foundation’s flagship conference will be taking place in Copenhagen from May 2-4. It will cover Kubernetes, Prometheus OpenTracing, Fluentd, Linkerd, gRPC, CoreDNS, and other key technologies in cloud native computing. The Ub

What can you do with Kubernetes?

This is the first webinar in our Kubernetes Month series! Speaker: Vinod Kumar Date/Time: April 4, 2018 at 12PM EST / 5PM GMT Need to get up to speed with Kubernetes? This webinar will give you the primer to the Kubernetes platform that you need. You’ve probably heard that Kubernetes is great technology, but have

Hacking Through Machine Learning at the OpenPOWER Developer Congress

By Sumit Gupta, Vice President, IBM Cognitive Systems 10 years ago, every CEO leaned over to his or her CIO and CTO and said, “we got to figure out big data.” Five years ago, they leaned over and said, “we got to figure out cloud.” This year, every CEO is asking their team to figure

Machine learning with snaps

Late last year Amazon introduce a new EC2 image customized for Machine Learning (ML) workloads. To make things easier for data scientists and researchers, Amazon worked on including a selection of ML libraries into these images so they wouldn’t have to go through the process of downloading and installing them (and often times building the

Job concurrency in Kubernetes: LXD and CPU pinning to the rescue

A few days ago, someone shared with me a project to run video transcoding jobs in Kubernetes. During her tests, made on a default Kubernetes installation on bare metal servers with 40 cores & 512GB RAM, she allocated 5 full CPU cores to each of the transcoding pods, then scaled up to 6 concurrent tasks

GPUs and Kubernetes for deep learning — Part 2/3: Adding storage

Earlier this week we built a GPU cluster and installed Kubernetes so that we can do some advanced data processing. What is the thing you need next right after you have GPUs? Data. Data. and Data. And technically, if you looked at any of the tutorials for Tensorflow or the recent PaddlePaddle blog posts, you’ll

Building a nervous system for OpenStack

Big Software is a new class of software composed of so many moving pieces that humans, by themselves, cannot design, deploy or operate them. OpenStack, Hadoop and container-based architectures are all byproducts of Big Software. The only way to address the complexity is with automatic, AI-powered analytics. Summary Canonical and Skymind a

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