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CIOs need a universal storage layer to manage multicloud complexities…here’s why.

CIO

In most IT landscapes today, diverse storage and technology infrastructures hinder the efficient conversion and use of data and applications across varied standards and locations. Multicloud architectures help organizations get access to the right tools, manage their cost profiles, and quickly respond to changing needs.

Storage 245
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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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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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The CIO’s Triple Play: Cyber Resilience, Performance, and AIOps/DevOps

CIO

This is the story of Infinidat’s comprehensive enterprise product platforms of data storage and cyber-resilient solutions, including the recently launched InfiniBox™ SSA II as well as InfiniGuard®, taking on and knocking down three pain points that are meaningful for a broad swath of enterprises. . Otherwise, what is its value?

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

CIO

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. Today’s server hardware is powerful enough to execute most compute tasks. Why HPC and cloud are a good fit? No ageing infrastructure.

AWS 147