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VAST Data allies with Nvidia on reference storage architecture for AI

Venture Beast

VAST Data collaborates with Nvidia to create reference architecture for attaching its storage systems to GPU servers. Read More.

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Data warehouse architecture

Dataconomy

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

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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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Accelerating generative AI requires the right storage

CIO Business Intelligence

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

Storage 98
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From edge to cloud: The critical role of hardware in AI applications

CIO Business Intelligence

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. Hardware innovations become imperative to sustain this revolution.

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

CIO Business Intelligence

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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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time data processing is an essential capability for nearly every business and organization. Real-time Data Scaling Challenges. Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. On-Premises Requirements for Sensitive Data.

Data 116