Red Hat Ramps Up
March 24, 2020
Hat highlighted that more organizations are using Red Hat OpenShift as
the foundation for building artificial intelligence (AI) and
machine-learning (ML) data science workflows and AI-powered intelligent
applications. OpenShift helps to provide agility, flexibility,
portability and scalability across the hybrid cloud, from cloud
infrastructure to edge computing deployments, a necessity for developing
and deploying ML models and intelligent applications into production
more quickly and without vendor lock-in.
Ashesh Badani, Senior vice president, Cloud Platforms, Red Hat said,
"AI/ML represents a top emerging workload for Red Hat OpenShift across
hybrid cloud and multicloud deployments for both our customers and for
our partners supporting these global organizations. By applying DevOps
to AI/ML on the industry’s most comprehensive enterprise Kubernetes
platform, IT organizations want to pair the agility and flexibility of
industry best practices with the promise and power of intelligent
As a production-proven enterprise container and Kubernetes platform,
OpenShift delivers integrated DevOps capabilities for independent
software vendors (ISVs) via Kubernetes Operators and NVIDIA GPU-powered
infrastructure platforms. This combination can help organizations
simplify the deployment and lifecycle management of AI/ML toolchains as
well as support hybrid cloud infrastructure. With these enhancements,
data scientists and software developers are empowered to better
collaborate and innovate in the hybrid cloud rather than simply manage
infrastructure resource requests.
Customer and ecosystem interest in AI/ML
The customer momentum seen by Red Hat validates the AI/ML findings from
the recent 2020 Red Hat Global Customer Tech Outlook report. The report
surveyed 876 Red Hat customers on their top IT priorities and found that
30% of respondents plan on using AI/ML over the next 12 months, ranking
AI/ML as the top emerging technology workload consideration for
companies surveyed in 2020.
For example, Kasikorn Business-Technology Group (KBTG) supports the
day-to-day operations of KBank, one of Thailand’s largest commercial
banks, and also provides technology developer and partner services for
fintech firms across Thailand. To support the doubling of KBank’s user
base, KBTG developed K PLUS AI-Driven Experience (KADE) to help analyze
customer behavior and deliver a more personalized experience and also
launched UCenter, a unified notification feed system, built and deployed
on Red Hat OpenShift. Other customer cases of AI/ML solutions on Red Hat
OpenShift include Boston Children's Hospital and more.
Along with these customers using OpenShift to accelerate AI/ML workflows
and deliver AI-powered intelligent applications, AI/ML ISV partners
including CognitiveScale, Dotscience, NVIDIA and Seldon have recently
developed OpenShift integrations via certified Kubernetes Operators.
OpenShift is also powering IBM Cloud Paks to help customers accelerate
their journey to the cloud and transform business operations in support
of new workloads, including AI/ML/DL.
Additionally, to streamline the adoption of AI-enabled infrastructure in
the enterprise datacenters, Red Hat has collaborated with Hewlett
Packard Enterprise (HPE) and NVIDIA on a new Accelerated AI Reference
Architecture, which offers design and deployment guidelines to help
mutual customers bring AI-based applications to production more quickly.
Driving open AI innovation
Red Hat continues to be an active contributor to the Kubeflow open
source community project, which focuses on simplifying ML workflows for
Kubernetes while enhancing workload portability and scalability.
Kubeflow can now run on OpenShift as documented here, and a Kubeflow
Kubernetes Operator is in development to help simplify the deployment
and lifecycle management of Kubeflow on OpenShift.
Additionally, Red Hat leads the Open Data Hub community project to
provide a blueprint for building an AI-as-a-Service platform with Red
Hat OpenShift, Red Hat Ceph Storage and more. Open Data Hub v0.5.1 is
now available and includes tools like JupyterHub 3.0.7, Apache Spark
Operator 1.0.5 for managing spark clusters on OpenShift and the Apache
Superset data exploration and visualization tool.
To learn more about how Red Hat is helping organizations globally
accelerate AI/ML workflows and deliver AI-powered intelligent
applications, please visit www.openshift.com/ai-ml.
To experience Red Hat’s open source solutions that fuel many emerging
workloads, including AI/ML/DL, join the online presentations at NVIDIA’s
GTC Digital event. Red Hat’s experts will showcase how scalable software
infrastructure from Red Hat can be deployed in a range of scenarios,
from virtualized environments in corporate datacenters to massive-scale
services on public clouds.
Matt Sanchez, chief technology officer, CognitiveScale noted, "Combining
the power of CognitiveScale Certifai platform and Red Hat OpenShift via
Kubernetes Operators integration enables our mutual customers to
accelerate AI/ML workflows across hybrid and multi cloud deployments.
This can result in faster delivery of intelligent applications and more
simplified IT operations."
Luke Marsden, founder and chief executive officer, Dotscience added, "AI
projects often fail due to differences between software DevOps and MLOps.
As projects scale up, lack of control can result in chaos and pain. The
Dotscience operator for OpenShift helps AI projects to deliver business
value faster and reduces risk with specialized MLOps tooling across the
build, deploy & monitor lifecycle."
Thanyasiri, senior delivery manager, Kasikorn Business-Technology Group
(KBTG) commented, "The UCenter project has proven that Red Hat can fully
support our ambitions. Being able to scale without compromising
availability and security is critical to our ambitious growth targets,
and Red Hat gives us that capability. We have identified five additional
applications and use cases, such as threat detection, where we are
confident that Red Hat can also add value. We are delighted with the
service provided by Red Hat, particularly its local technical expertise,
so we look forward to deepening our relationship."
Justin Boitano, general manager, enterprise and edge computing, NVIDIA
concluded, "Deeper integration between Red Hat OpenShift and NVIDIA’s
GPU Operator accelerates the deployment of AI solutions for our
customers. The combination of these technologies makes it easier for IT
organizations to access and scale GPU-powered, hybrid-cloud
Alex Housley, founder and chief executive officer, Seldon said,
"Seldon’s integrations with Red Hat OpenShift via Kubernetes Operators
helps organizations speed up deployment of machine learning models
across the hybrid cloud, providing faster roll-outs of AI-powered