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Simplify your storage management by leveraging a universal storage layer

CIO

Many organizations spin up infrastructure in different locations, such as private and public clouds, without first creating a comprehensive architecture. Adopting the same software-defined storage across multiple locations creates a universal storage layer.

Storage 272
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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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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The data is spread out across your different storage systems, and you don’t know what is where. Scalable data infrastructure As AI models become more complex, their computational requirements increase. As the leader in unstructured data storage, customers trust NetApp with their most valuable data assets.

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What is Private Cloud Architecture: Complete Overview

OTS Solutions

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

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Enterprise Storage Solution Provider of Choice: The Case Studies

CIO

Most of Petco’s core business systems run on four InfiniBox® storage systems in multiple data centers. For the evolution of its enterprise storage infrastructure, Petco had stringent requirements to significantly improve speed, performance, reliability, and cost efficiency. Infinidat rose to the challenge.

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Beyond AI: Building toward artificial consciousness – Part 2

CIO

This piece looks at the control and storage technologies and requirements that are not only necessary for enterprise AI deployment but also essential to achieve the state of artificial consciousness. This architecture integrates a strategic assembly of server types across 10 racks to ensure peak performance and scalability.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Solution overview The solution presented in this post uses batch inference in Amazon Bedrock to process many requests efficiently using the following solution architecture.