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Enhancing AI projects with advanced cloud GPU servers

Dataconomy

Advanced cloud GPU servers are designed to meet the high-performance demands of AI projects. Unlike traditional cloud servers that rely on CPUs, these servers leverage Graphics Processing Units (GPUs) to accelerate computational tasks. Image credit ) Enhanced memory capacity is another critical aspect.

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IBM to Acquire Cloudant: Open, Cloud Database Service Helps Organizations Simplify Mobile, Web App and Big Data Development

CTOvision

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives. – bg.

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Teradata: Embrace the Power of PaaS

Cloud Musings

Platform-as-a-Service (PaaS) has always been the unappreciated sibling of the cloud computing service model trio. This valuable Teradata differentiator can be delivered under a private, public or hybrid cloud deployment model. The elasticity of cloud architecture enables the company to lease additional nodes within a few days.

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VMworld 2015 Day 2 Keynote Liveblog

Scott Lowe

The day 2 keynote kicks off with another Cloud Academy presentation… After the video wraps up, Sanjay Poonen takes the stage. Combined with a strong management layer and hybrid cloud solutions, this becomes the software-defined data center (SDDC). Poonen leaves the stage and Martin Casado, SVP and GM of the NSBU, takes the stage.

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Elevating ML to new heights with distributed learning

Dataconomy

Here are a few examples: Healthcare: Distributed learning has been employed to train models on distributed medical data while maintaining patient privacy, enabling collaborative research and improving diagnostic accuracy.