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Best Used Servers for Databases and Cloud Computing

Smart Data Collective

Investing in the Best Servers for Cloud Computing. Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. What to look for in a server to meet your cloud computing needs. To learn more about both, just keep reading.

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Connecting IBM VPC to IBM Power Virtual Servers and IBM Cloud Object Storage

IBM Journey to AI blog

In the ever-evolving landscape of cloud computing, businesses are continuously seeking robust, secure and flexible solutions to meet their IT infrastructure demands. PowerVS brings together the performance and reliability of IBM Power processors, advanced virtualisation capabilities and the scalability of cloud computing.

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Near instant replication with highly available, redundant systems—across several miles

IBM Journey to AI blog

LBaaS, VSI, VMwaaS, SAP, distributed databases, cloud storage volumes, cloud security— cloud computing brings a delicious alphabet soup of possibilities to the table when it comes to system architecture.

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10 industries that use distributed computing

IBM Journey to AI blog

Distributed computing even works in the cloud. And while it’s true that distributed cloud computing and cloud computing are essentially the same in theory, in practice, they differ in their global reach, with distributed cloud computing able to extend cloud computing across different geographies.

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Embedded AI Integration with MATLAB and Simulink

Pickl AI

Introduction Embedded AI is transforming the landscape of technology by enabling devices to process data and make intelligent decisions locally, without relying on cloud computing. For instance, a smart camera equipped with embedded AI can analyse video feeds in real-time to detect anomalies, significantly enhancing security systems.

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Exalytics, Exalogic, and Exadata

Pickl AI

Its in-memory processing capabilities allow organisations to execute queries and computations at lightning-fast speeds, even when handling massive datasets. The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance.