Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

CDS Launches Data Center Modernization Assessment Service, Built on Industry-First Comparison & Reporting Engine

Assessment Engine Can Identify 20-50%+ Savings on Maintenance of Data Center Infrastructure, Unlocking Budget For Strategic Modernization Initiatives

CDS, the leading provider of multi-vendor services (MVS) for data centers worldwide, launched its new Data Center Modernization Assessment Service, aimed at helping organizations understand and realize their potential for cost savings as hardware refresh cycles become longer and modernization initiatives need funding.

Latest Aithority Insights : NVIDIA Raises the Standard of Low Code DevOps with the NVIDIA AI Enterprise 2.1

Powered by unique automation, an extension of the CDS Raytrix MVS platform, the Data Center Modernization Assessment Service is built on CDS’ industry-first comparison and reporting engine, which:

  • Accepts data center inventory by model and type of system for servers, storage and networking
  • Matches system models and serial numbers across an extensive, multi-vendor database
  • Identifies the type, age, EoSL (end of service life) status and support costs
  • Produces an interactive report analyzing the infrastructure by age and savings opportunities

Daniel Newton, CEO of CDS, said, “Hardware refresh cycles are getting longer, and aging systems are holding back IT modernization. With these new capabilities, CDS and our partners can quickly identify opportunities for organizations to unlock savings in older enterprise systems and help fund strategic initiatives to meet the rising demands of their customers.”

Related Posts
1 of 40,460

AI and ML News: Why SMBs Shouldn’t Be Afraid of Artificial Intelligence (AI)

According to the Uptime Institute, 50% of all data center system refreshes are occurring after five years. More than 90% of systems in the average data center today are three years old or older. While server units outnumber storage arrays, storage is the largest area for savings because of its much higher acquisition cost, accounting for nearly 70% of the potential savings in hardware maintenance.

MVS can save customers at least 20% on systems that are between 3 and 4 years old and 50% or greater on systems that are 5 years old or older.

“Aligning system age and criticality with cost of support maintenance across the data center estate — storage, servers and network devices — is key to data center cost optimization,” Newton continued. “No one has the breadth of coverage or the technology engine that we do to assess these opportunities and help customers cash in on them.”

Future of AI-driven Customer Relationship:  Microsoft’s Viva Sales and the Future of AI-driven Customer Relationship and Experience Management

[To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.