IBM’s Strong Commitment to the NVMe Storage Revolution

IBM’s recent storage announcement covered a number of new and enhanced solutions across IBM’s Storage software and Storage systems portfolio, but for simplicity’s sake, my focus today is the significant support the company is throwing behind the revolution inspired by NVMe (nonvolatile memory express Note that the business storage market has changed dramatically in recent years with revolutions sparked by software-defined storage technologies and flash-based storage hardware, in both of which IBM has been a leader. To those two we can now add a storage connectivity revolution or NVMe. Although this revolution could be considered separate, the primary benefit is to increase the performance of flash storage (not hard disk storage). Therefore, it can also be considered a subset of the flash storage revolution. As it has demonstrated in past such events, IBM has a well-articulated strategy that includes necessary planning and R&D investments to deliver NVMe as a part of its storage environment in a reasonable, achievable time frame. However, before we see what the company is doing we need to understand the technology and why it is important. To read the complete article, CLICK HERE NOTE: This column was originally published in the Pund-IT...

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…Enterprise Storage in 2018 (Video)

Recently, I was able to get some time in front of a camera to discuss my predictions for enterprise storage in 2018. The video is below, but let me provide a brief spoiler with two of the top highlights. Flash continues its dominance with the rise of NVMe: I will talk more about NVMe as the year goes on, but in a nutshell NVMe unlocks the true potential of flash, and that potential is far more than just high performance. Data storage is hard: I am being overly simplistic here on purpose. This is not new, but here is the thing, all those technologies you are reading about, such as hyperconverged and cloud, all attempt to do the same thing: make storage management someone else’s problem. We have reached the point where manual storage management is too costly, and in 2018 automated infrastructure becomes king. To read the complete article, CLICK...

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HPE InfoSight Brings Autonomous DC (i.e. Skynet) Closer
Dec07

HPE InfoSight Brings Autonomous DC (i.e. Skynet) Closer

The upcoming termination of Meg Whitman’s reign is not the only Big Bang due out of Hewlett Packard Enterprise early next year: in January the drastically slimmed-down enterprise IT powerhouse will roll out a 3PAR-enabled artificial intelligence recommendation engine (InfoSight AIRE) that will take HPE closer to the autonomous datacenter, according to company officials. “Infosight is AI for the datacenter,” HPE’s Gavin Cohen, VP, Product and Solutions Marketing, Storage, told IT Trends & Analysis. “That’s something Nimble started building on from the start.” HPE announced the completion of its $1.2 billion acquisition of Nimble Storage in April, and while that significantly beefed up its flash and cloud storage assets, the company said it would be leveraging InfoSight across both its storage and server portfolios. Calling InfoSight the “crown jewels” of the Nimble acquisition, the AI power of the platform provides HPE and its partners with a big competitive advantage against any and all competitors, said Meg’s CEO successor-to-be (as of  February 1) HPE President Antonio Neri. “Nobody has this,” he said in a recent interview. The predictive analytics capabilities are sure to power dramatic reductions in storage total cost of ownership (TCO) for businesses of all sizes, he said. “It delivers the best performance with the best uptime and lowest TCO optimized for the specific workloads that run on the platform. The customer gets the best experience at the lowest cost.” Beyond storage are servers and ultimately the datacenter, and bringing AI and predictive analytics to the datacenter is not only necessary for protecting existing revenue streams, but essential to the autonomous datacenter. While we hopefully won’t get a Skynet, Terminator’s rise (and fall) of the machines, AI in the datacenter is coming quickly. By 2019, 40% of digital transformation initiatives will use AI services; by 2021, 75% of commercial enterprise apps will use AI; and the majority of adopters have seen quantified returns meeting or exceeding expectations. “AI is a positive force for change,” stated Mark Purdy, Managing Director-Economic Research, Accenture Research. “It has the potential to markedly increase growth rates and substantially raise economic output across industries, while helping organizations to more easily rotate to the new way of doing business.” A recent survey found that AI could boost average profitability rates by 38% and lead to an economic increase of $14 trillion by 2035. But all that remains in the future; today, we have AI-powered storage, or at least Nimble, and shortly, 3PAR, and the benefits are equally compelling. The AI and predictive analytics capabilities of InfoSight reduce the time spent troubleshooting issues by up to 85% and help to deliver greater than 99.9999% of guaranteed...

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IBM Advances Cluster Virtualization…

On the classic Groucho Marx quiz show You Bet Your Life if a contestant accidently said the “secret word” of the day, he or she would win a prize. There’s no prize included in this commentary, but the secret word of the day is virtualization, especially as it relates to IBM’s new HPC and AI solutions. IBM defines virtualization as “A technology that makes a set of shared resources appear to each workload as if they were dedicated only to it.” IT is very familiar with this concept, what with operating system-level virtualization, server virtualization, network virtualization, and storage virtualization all continuing to permeate more and more through computing infrastructures and the collective consciousness. So, it should come as no surprise that IBM is advancing the concept of cluster virtualization in its latest announcement, tying it closely to cloud and cognitive computing. IBM’s cluster virtualization initiative combines products from its Spectrum Computing family, namely Spectrum LSF, Spectrum Symphony, and Spectrum Conductor, along with overall cluster virtualization software (Spectrum Cluster Foundation) to manage the whole process. And that includes the storage that is delivered through IBM Spectrum Scale, another member of the IBM Spectrum Storage family. The goal of this approach is to automate the self-service provisioning of multiple heterogeneous high-performance computing (HPC) and analytics (AI and big data) clusters on a shared secure multi-tenant compute and storage infrastructure. Doing so delivers multiple benefits to numerous technical computing end users, including data scientists and HPC professionals. The announcement focuses on these products: IBM Spectrum LSF, IBM Spectrum Conductor, and IBM Spectrum Scale. For more information, CLICK HERE NOTE: This column was originally published in the Pund-IT...

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Storage…The Impact of CI/HCI…

ESG recently completed in-depth research on the state of the storage market; its own technologies and market trends as well as its key intersections to other notable IT implementations and shifts. We are presenting some of the extended highlights from the findings in multiple ESG Briefs (each focused on a particular topic), as well as tighter summaries of those Briefs in accompanying ESG videos. These will be rolling out over the next few weeks and we’ll capture all the available links in these blogs each time a new piece is posted.    To read the complete article, CLICK...

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