News

Intel Introduces High-Peformance Xeon Chips for Big Data

• By David Ramel
• 06/07/2016

To help enterprises gain actionable business insights from Big Data analytics, Intel has introduced a new family of high-performance Xeon processors to power servers boasting up to 24 cores and supporting up to 24 TB of memory.

The Intel Xeon Processor E7 v4 family of chips can be used to help enterprises make the leap from ordinary data processing to "predictive and prescriptive" analytics using high-performance servers, the company said.

The chips feature "the industry's largest memory capacity per socket, advanced reliability and hardware enhanced security for real-time analytics so that businesses can rapidly gain actionable insights from massive and complex data sets," the company said.

Furthermore, "Servers based on Intel Xeon processor E7 v4 provide 24 cores/48 threads per socket and support up to 24 TB of memory in 8 sockets, allowing massive datasets to be stored completely in memory, rather than on hard drives, to accelerate time to insight and decision-making," according to an article on the company's IT Peer Network.

In an infographic, Intel said the chips provide: up to 1.4x better performance than IBM Power 8 solutions while consuming half the system power; up to 2x more analytics inquiries; up to 24 TB of memory capacity and the most memory per socket of any other chip; "five 9s" levels of uptime; up to 70 percent more encryption performance per core; improved virtualization efficiency (up to 20 percent fewer cycles when entering and exiting virtual machines); and better visibility and control to boost quality of service with Intel Resource Directory Technology.

"With advantages like these, this new generation of the Intel Xeon processor E7 family is ideal for scale-up platforms and responsible for more than two dozen world record performance benchmarks," says yet another article on the company's IT Peer Network. "It delivers large in-memory computing for real-time analytics as well as data-intensive mission-critical workloads, such as online transaction processing (OLTP), supply chain management (SCM) and enterprise resource planning (ERP), among others."