As a follow-on to our multi-year partnership announcement on May 16, IBM has released details on their new Hyperconverged Systems powered by Nutanix Enterprise Cloud Platform software. The new line of IBM offerings will initially roll-out with the 1U CS821 and 2U CS822 models. These turnkey OEM systems will combine the performance of the IBM POWER8 chip architecture and the simplicity of Nutanix software. Initial workloads will be able to leverage the ecosystem of open source database management systems (OSDBMS) like MongoDB and EDB PostgresSQL, along with applications in the WebSphere Application Server Java environment.
IBM Hyperconverged Systems are unique because they bring the POWER architecture to customers in a Hyperconverged Infrastructure (HCI) deployment model for the first time. Folks may wonder why they should choose IBM POWER when you can just as easily find the open source applications you need on x86-based systems. The answer is economics of the output. IT organizations can get noticeably “more bang for your buck” on many open source analytics and transactional database workloads using POWER when compared to x86-based systems (“Infrastructure Matters: IBM POWER8 vs. Xeon x86”, https://public.dhe.ibm.com/common/ssi/ecm/po/en/pol03213usen/POL03213USEN.PDF). IBM targets their 1U and 2U platforms to be price competitive with 1U and 2U x86 offerings, while providing greater performance due to POWER’s higher memory bandwidth and CPU thread support. This can give you better price-performance. The following chart shows what IBM has achieved on their POWER platform with popular open source databases.
As the footnote in the above chart says, “More details can be found at https://www.ibm.com/developerworks/linux/perfcol/index.html”. In addition to these database workloads, you can also find performance comparisons for Docker Containers, Genomics SOAP and HPC Lattice. A roster of open source Linux applications currently running on Power Systems can be found at https://developer.ibm.com/linuxonpower/open-source-pkgs/.
Looking across the breadth of Linux applications supported on POWER, you will find further analytics workloads such as HortonWorks Hadoop, IBM Cognos and IBM SPSS, enterprise applications from vendors such as Infor, SugarCRM and SAP (please note that the SAP HANA database is not yet certified on any HCI platforms), Life Sciences applications from the Broad Institute, and Container support with Kubernetes and Docker.
Of particular note, IBM is listed as a leader in Data Science/Predictive Analytics/Machine Learning by both Gartner (2017 Gartner Magic Quadrant for Data Science Platforms, https://www-01.ibm.com/marketing/iwm/dre/signup?source=urx-13221&S_PKG=ov57144) and Forrester Research (The Forrester Wave™: Predictive Analytics and Machine Learning Solutions, Q1 2017, https://www.ibm.com/analytics/us/en/technology/data-science/forrester-wave.html).
The impact of the overall ecosystem of IBM POWER can be understood from the following table:
As IBM joins with Nutanix, a broad set of applications can be added to the Nutanix family. This expands the Nutanix reach well beyond transactional workloads and will provide a strong portfolio of analytics related workloads which IBM often refers to as Cognitive Computing. Because of the integration with the Nutanix Enterprise Cloud Platform, IBM has added the related term of “Cognitive Cloud” to its lexicon, as well. With this added capability and choice of IBM Power Systems with Nutanix, the customer will be the ultimate beneficiary. We continue to make infrastructure invisible, elevating IT to focus on the applications and services that power their business.
Now is the time to engage with your IBM account manager or IBM authorized reseller. Ordering and product availability are planned for calendar Q3 2017.
Forward Looking Statements
This blog includes forward-looking statements concerning our plans and expectations relating to the deployment of Nutanix software on, and the interoperability of Nutanix software with, IBM Power Systems. These forward-looking statements are not historical facts, and instead are based on our current expectations, estimates, opinions and beliefs. The accuracy of such forward-looking statements depends upon future events, and involves risks, uncertainties and other factors beyond our control that may cause these statements to be inaccurate and cause actual results, performance or achievements to differ materially and adversely from those anticipated or implied by such statements, including, among others: the failure to develop, or unexpected difficulties or delays in developing, the integrated offering on a timely or cost-effective basis; the introduction, or acceleration of adoption of, competing solutions, including public cloud infrastructure; a shift in industry or competitive dynamics or customer demand; and other risks detailed in our quarterly report on Form 10-Q for the fiscal quarter ended April 30, 2017, filed with the Securities and Exchange Commission. These forward-looking statements speak only as of the date of this blog and, except as required by law, we assume no obligation to update forward-looking statements to reflect actual results or subsequent events or circumstances.
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