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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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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

IDC predicts that the amount of commercial data in storage will be 12.8 The upshot of all these environments, platforms and data types is that data becomes siloed, which means that each has its own storage and protection policies, and frequently different backup and disaster recovery systems. ZB by 2026.

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6 key considerations for selecting an AI systems vendor

CIO

IT leaders attending NVIDIA’s GTC 2024 AI developer conference on March 18-21, 2024, in San Jose, CA, can explore these capabilities with ASUS, one of the global leaders in high-performance AI servers based on NVIDIA’s MGX server reference architecture. Maximize data storage AI workloads demand vast amounts of data.

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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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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

IT leaders attending NVIDIA’s GTC 2024 AI developer conference (March 18-21, 2024, in San Jose, CA) can explore these capabilities with ASUS, one of the global leaders in high-performance AI servers based on NVIDIA’s MGX server reference architecture. The MGX architecture, with NVIDIA’s chips, are just the starting point.

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Data Architecture 101: Ensuring Scalability & Security

Dataiku

Data architecture is an umbrella term that encompasses data storage , computational resources, and everything in between. All the technology that supports the collection, processing, and dashboarding of data is included in the architecture.

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What Should You Know About Graph Database’s Scalability?

Dzone - DevOps

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.