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Their business model stands and falls with the interaction of many data sources and services that are located in different clouds. But even the IT environments of companies in less complex industries often now resemble a conglomeration of local datacenters, virtual machines, mobile devices and cloud services.
HPC as a service : Another key trend is the emergence of HPC as a fully managed service inside enterprise datacenters. Organizations can get HPC up and running faster and can lean on the technical expertise and staffing of the service provider, while keeping data safely protected within the walls of the datacenter.
We of course handle all of the basics, whether it’s helping an organization get the most out of their deployments with Amazon WebServices and Microsoft Azure, but we also have people with significant expertise that isn’t easily replicated by the vast majority of enterprises today.”
And for AMD’s most critical engineering applications, the answer remains its own datacenters — not the cloud. Gartner analyst Sid Nag, however, points out that cloud providers such as Amazon WebServices offer instances that go up to 224 cores, with companies already running HPC workloads in the cloud.
Gartner puts Oracle Fusion Cloud ERP in the Leader category for its modular and configurable ERP offerings that can run in Oracle datacenters, in the Oracle cloud, or at customer sites. Most of Epicor’s customers are midsize companies in automotive, building supply, distribution, manufacturing, and retail verticals.
Cloud service providers generated approximately half of Nvidia’s $30 billion in datacenter revenue for the fiscal third quarter ending in October. Diversification beyond datacenters Nvidia’s datacenter revenue growth has overshadowed other significant business opportunities.
On top of this another 10%-15% could be saved by implementing a shared backhaul function to common datacenters. Combining a cloud core and edge with industry vertical-specific service models in manufacturing, logistics and automotive is the point we’ve been waiting for with 5G.
Mo Wehbi, VP, Information Security & PMO, Penske Automotive Group: The Good and the Bad "The Good: Widespread Adoption of AI and Machine Learning for Threat Detection: AI will become more sophisticated and integral in identifying threats in real-time, reducing response times and mitigating risks faster than ever before.
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