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Right-Sizing Data Center Resources

CTOvision

One of the perennial problems of data centers is monitoring server utilization to ensure right-sizing of resources. Having too few resources can lead to overprovisioning, which can cause downtime as virtual machines become starved for compute, memory, and storage. Getting it just right takes skill - and a good set of tools.

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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO Business Intelligence

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Every company is different based on its industry, its available resources, and its needs.

Cloud 122
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The impact of AI on edge computing

CIO Business Intelligence

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. In applications where real-time responsiveness is critical, minimizing latency is paramount. Resilience.

Dell 105
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DDN raises the bar as data intensive analytics push storage systems

CTOvision

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 260
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How to Manage a Storage Array

Galido

Information Technology Blog - - How to Manage a Storage Array - Information Technology Blog. Storage arrays that you have bought for your business are very easy to manage, but you need to be certain that you have looked into the details. Futureproofing Storage Capacity. Most storage arrays can coexist with each other.

Storage 66
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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Most observers agree that a hybrid approach that involves on-premises or co-located private clouds will be required for most IT leaders to ensure cost control and data integrity in the face of AI’s resource needs and key business concerns around its use. The Milford, Conn.-based billion in 2024, and more than double by 2027.

Cloud 139
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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.

Dell 135