In today’s world, graphics processing units or GPUs have attracted a lot of attention as the optimal vehicle to run artificial intelligence (AI), machine learning (ML) and deep learning (DL) workloads. These workloads require massive amounts of data, both ultra-high speed and parallel processing, along with flexibility and high availability. It is clear that high-performance computing (HPC) with graphics processing unit (GPU) systems are required to support cutting-edge workloads.

In this edition we have news of two new initiatives to help businesses and developers alike with their Kubernetes endeavours. Plus we were excited to discover that Civo was recently featured in CRN's 20 Coolest Cloud Infrastructure Companies as part of The 2022 Cloud 100!

VMware continues to heavily invest in Cloud Foundry and Tanzu Application Service, VMware’s distribution of Cloud Foundry, to ensure it remains the best place to run business-critical applications. Let’s dive a little deeper to see these exciting investments in action.

You have to make lots of technical, architectural, and organizational choices. Knowing what your peers, analysts, and tech leaders are thinking about can help you make decisions about where and how to invest your time, money, and energy. That’s why we’ve compiled this roundup of ideas from tech decision makers, leaders, and analysts to help you focus.