Webinar

Accelerate artificial intelligence and machine learning in the cloud

Watch recording from 13. November 2019

3 Keys to Hybrid and Multi Cloud Adoption

Organizations are increasingly looking to adopt hybrid and multicloud architectures to give them the freedom to choose infrastructure based on market demands. To support these demands, businesses require the speed and agility that cloud computing models provide, along with a secure and controlled environment. During this webinar series, we will cover the key considerations and strategies to successful hybrid and multicloud adoption.

 

Accelerate artificial intelligence and machine learning in the cloud

Innovations like artificial intelligence (AI), machine learning (ML), and high performance computing (HPC) present a vision of IT’s future, one where intelligent solutions can more effectively analyze and address evolving business needs. But this vision can be limited by current IT infrastructure, which can often require significant investments in order to enable new workloads. To answer this challenge, businesses need to deliver emerging workloads on a standardized and accessible infrastructure. 

During this webinar, we’ll discuss the ways to help drive technologies and solutions for AI, ML, and HPC across different industries. You’ll walk away with an understanding of:

  • How graphic processing units (GPUs) can tackle intense computing tasks
  • How Red Hat OpenShift helps to facilitate deployments across the hybrid cloud, from on-premises servers to public cloud environments, enabling customers to migrate applications more seamlessly across IT footprints
  • How OpenShift Operators are used for lifecycle management of GPUs
     

Live event date: Wednesday, November 13, 2019 | 2 p.m. ET

On-demand event: Available for one year afterward.

 

Key considerations of successful hybrid and multi cloud adoption

Live event date: Wednesday, November 6, 2019 | 2 p.m. ET

 

Hybrid and Multi Cloud Infrastructure for DevOps

Live event date: Wednesday, December 11, 2019 | 2 p.m. ET


Stephane Lefrere

Director, Cloud Infrastructure Practice, Red Hat

Stephane Lefrere, director of Red Hat's center of excellence for cloud infrastructure, helps businesses transform and accelerate innovation using open source cloud and DevOps best practices. He is based in the San Francisco Bay area.

Neeraj Kuppam

Cloud Solutions Manager, Red Hat

Neeraj works with technical teams in Red Hat Consulting and product teams to incubate new solutions for Internet of Things (IoT), artificial intelligence/machine learning (AI/ML), hybrid, and multicloud technologies. He is based in Raleigh, NC.

William Benton

Engineering Manager and Senior Principal Engineer, Red Hat

Will leads a team of data scientists and engineers at Red Hat, where he has used machine learning to solve problems ranging from understanding infrastructure logs at datacenter scale to designing better cycling workouts. His current focus is designing architectures for machine learning systems in the hybrid cloud.

Øystein Bedin

Principal Architect, Red Hat Open Innovation Labs, Red Hat

Øystein is a Linux, OS, platform, infrastructure, and cloud architect, with main focus on infrastructure deployments and DevOps. Through his involvement with Labs customer residencies, he has proven that using Infrastructure-as-Code (IaC) to manage Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) environments produces a highly flexible and modular approach to automation.