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Accelerating generative AI requires the right storage

CIO

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

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CIOs rethink all-in cloud strategies

CIO

C R Srinivasan, EVP of cloud and cybersecurity services and chief digital officer at Tata Communications, sees many enterprises “getting more nuanced” with their cloud use and strategies in an effort to balance performance, costs, and security. “As Cloud Computing, Data Center, Edge Computing, Hybrid Cloud, IT Strategy, Multi Cloud

Strategy 358
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Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. However, without the right approach and a well-thought-out strategy, costs can quickly pile up. The following table gives you an overview of AWS storage costs.

Storage 147
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Inferencing holds the clues to AI puzzles

CIO

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. Learn more about Dell Generative AI. Artificial Intelligence

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Why it’s time to put your stake in a ground-to-cloud strategy

CIO

Security, strategy and cost were among the top reasons for migrating workloads. You can bring order to the chaos and help simplify operations by running the block and file storage software your IT teams already run on-premises in public clouds. Isn’t it time to put your stake in the ground-to-cloud strategy?

Strategy 223
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Strategies to Solve the IT Skills Gap in Enterprise Storage for Fortune 500 Companies

Infinidat

With fewer and fewer qualified personnel, this gap is creating real challenges to manage the data infrastructure, encompassing all aspects of IT from cybersecurity, networks and servers to containerized applications and enterprise storage. We have a different approach, coupled with a set of strategies on how to bridge the gap.

Storage 54
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

While big data technologies like Hadoop were used to get large volumes of data into low-cost storage quickly, these efforts often lacked the appropriate data modeling, architecture, governance, and speed needed for real-time success. However, a data execution strategy has to evolve for real-time AI to scale with speed.