**VIDEO**Introducing the HPE Apollo 4200 Gen10 Plus intelligent data storage server
We’re excited to introduce the latest addition to the HPE Apollo 4000 family, the HPE Apollo 4200 Gen10 Plus system. What does this new offering bring to the market? Well, we will get to that. But first, some context as to why there is an increasing need for highly scalable, performant, and intelligent infrastructure to support emerging data-centric workloads.
Enterprises today continue to make strides to become more data-driven, and that trend is likely to continue into the future as mobile, edge and IoT contribute to the ever-present data management challenge facing most IT organizations today. Increasingly, businesses are looking for ways to find repeatable, sustainable value from their data, and there is more pressure and urgency to do so as the exponential growth rate of data creation continues.
As a way to gain value and business advantage from data, business leaders are turning to analytics and artificial intelligence (AI), which have actually gained momentum during the COVID-19 pandemic. According to Gartner, analytics and AI are the top two ‘game-changer’ technologies that will help businesses emerge stronger after the pandemic. This is also happening during a time that digital transformation and modernization efforts are accelerating to accommodate new applications and workloads.
The underlying infrastructure supporting these efforts is evolving as well. Despite the presence of large data lakes, organizations have not been able to keep pace with the massive growth in data. This has resulted in the creation of data silos, making it hard to apply analytics workloads to the data, or have applications access the right data at the right time. For example, analytics and AI both require hardware accelerators (GPUs) and fast storage, which places new demands on the larger data pipeline. In general, there is a need for infrastructure that can accommodate data growth and access, combined with the need for higher performance, efficiency and cost-effectiveness.
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