Hybrid cloud blog

August 31, 2021

Not All Machine Learning Workloads are Alike, So Why are We Treating Them Like They are?

This is a guest blog by Dr. Ronen Dar, CTO and co-founder of Run:AI. At each stage of the machine learning / deep learning (ML/DL) process, researchers are completing specific tasks, and those tasks ...

Alex Handy

August 27, 2021

Upcoming Webinar: How Financial Services Organizations are Scaling AI/ML to Drive Business

The increasingly burgeoning world of applied AI/ML is a complex one. Not only does it involve building and training algorithms, but it also involves moving around and managing large swaths of data ...

Alex Handy

August 26, 2021

Using NVIDIA A100’s Multi-Instance GPU to Run Multiple Workloads in Parallel on a Single GPU

The new Multi-Instance GPU (MIG) feature lets GPUs based on the NVIDIA Ampere architecture run multiple GPU-accelerated CUDA applications in parallel in a fully isolated way. The compute units of the ...

Kevin Pouget

July 9, 2021

Upcoming Webinar on MLOps on GitOps

Building AI/ML applications is only half the battle: the real work is in operationalizing the learning and deployment of algorithms. To help you comprehend this new mode of CI/CD, we've prepared a ...

Alex Handy

June 17, 2021

Videos from Open Data Science Conference, Europe, 2021

A few weeks back, you may recall that Europe was rife with virtual conferences. From KubeCon, to GitOpsCon to the titular Open Data Science Conference (ODSC) Europe 2021, there was a time in May ...

Alex Handy

June 1, 2021

Learn to Operationalize AI/ML at ODSC Next Week

  Artificial Intelligence has come a long way since the dawn of computing. AI/ML conferences haven't yet reached the point where human participation is unnecessary, however. Open Data Science ...

Alex Handy

May 25, 2021

Operationalizing Kubeflow in OpenShift

Kubeflow is an AI/ML platform that brings together several tools covering the main AI/ML use cases: data exploration, data pipelines, model training, and model serving. Kubeflow allows data ...

Raffaele Spazzoli

March 25, 2021

AI and ML Users Survey Results Now Available

Enterprises are using artificial intelligence (AI) and machine learning (ML) to generate significant business benefits. Most technology leaders are using open source tools and hybrid cloud based ...

Alex Handy

March 23, 2021

Using the NVIDIA GPU Operator to Run Distributed TensorFlow 2.4 GPU Benchmarks in OpenShift 4

Motivation In certain cases, OpenShift 4.x users may want to run large, distributed workloads in the latest version of OpenShift 4.x, especially if their cluster’s bare metal machines’ hardware is ...

Courtney Pacheco

February 25, 2021

Business Centric AI/ML With Kubernetes - Part 4: ML/OPs

Introduction DevOps practices over the past few years have brought incredible advances to organizations’ ability to speed up and secure application delivery. It’s now possible to release application ...

Tom Corcoran

February 18, 2021

Business Centric AI/ML With Kubernetes - Part 3: GPU Acceleration

  Introduction Artificial Intelligence and Machine Learning (AI/ML) have existed in various forms for over six decades. Yet AI/ML have historically failed to live up to the hype that has surrounded ...

Tom Corcoran

February 11, 2021

Business Centric AI/ML With Kubernetes - Part 2: Data Preparation

Introduction You may have heard the phrase Data is the new Oil. Such is the value being attributed to data particularly with the emergence of Artificial Intelligence and Machine Learning (AI/ML). In ...

Tom Corcoran