IBM Unveils X6 Architecture for x86-based Cloud Servers
IBM unveiled the sixth generation of its X-Architecture for System x and PureSystems servers. Dubbed X6, the new technology is aimed increasing the performance and economics of x86-based systems for cloud and analytics.
January 16, 2014
IBM (IBM) unveiled the sixth generation of its X-Architecture for System x and PureSystems servers. Dubbed X6, the new technology is aimed increasing the performance and economics of x86-based systems for cloud and analytics.
According to IBM, some of the benefits of the X6 architecture include:
Fast, integrated eXFlash memory-channel storage, which IBM claims is a first for the industry. The DIMM-based storage provides up to 12.8TB of fast flash storage close to the processor. From a cloud perspective, the idea is to increase the performance of applications by providing the lowest system-write latency, which is also essential for analytics applications.
An agile, modular and scalable design that supports multiple generations of CPUs. According to IBM, this can reduce acquisition costs by up to 28 percent in comparison to competitive offerings.
Resiliency through features that extend cloud delivery models to mission-critical applications. X6's memory and storage were designed to increase virtual machine capacity for the delivery of SaaS applications. It's also outfitted with autonomous self-healing CPU and memory systems to maximize application uptime by proactively identifying potential failures and then taking action to correct the issues, according to the company.
"Our enterprise X-Architecture for x86-based servers and solutions delivers high performance and the highest customer satisfaction in the industry, making us No. 1 in high-end x86 systems," said Adalio Sanchez, general manager for IBM System x and PureFlex, in a prepared statement. "We continue to innovate and deliver leadership performance, reliability and investment protection for mission-critical workloads with X6."
For Big Blue's partners, the opportunity is going to be in analytics capabilities, providing them with greater insight and moving critical workloads to the cloud to take advantage of cloud computing's efficiencies and lower costs.
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