Digital transformation is no longer a jargon and businesses are enabling better, faster decisions by rightly connecting and combining their data across on-premises and Cloud, including real time data. Explore the endless possibilities of how data virtualization can help drive success in this fast-paced, ever-growing complex data landscape.
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Learn Computer Networking basics!
Handouts will be available once you register for this training.
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VMUG
Let’s explore the basics of Kubernetes clusters, including the many layers composed of both virtualization and containers that make every single cloud based Kubernetes cluster possible. We can dig into the pros and cons of both sets of tools, and consider the possibilities for the future. What would a Kubernetes cluster using only virtualization look like? What would the advantages and disadvantages be? Together we’ll wrap our heads more tightly around the technologies that are defining cloud native.
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In order to support the company digital transformation, we need a new infrastructure to support these, which includes cloud-native, GPU-optimized containers, models, and industry-ready software development kits. Combining the above results is an Al-ready platform that can execute all enterprise applications such as virtual machines, containers, Kubernetes and Al, and a set of jobs, tools and processes for all applications to greatly expand Al range of applications while simplifying work.
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