Thursday, March 31, 2022

Intel to acquire real-time continuous optimization software

Intel agreed to acquire Granulate Cloud Solutions Ltd., an Israel-based developer of real-time continuous optimization software. Financial terms were not disclosed.

Granulate’s autonomous optimization service helps reduce CPU utilization and application latencies. It does this by learning the customer’s application and deploying a customized set of continuous optimizations at runtime. This enables deployment on smaller compute clusters and instance types to improve application performance and drive down cloud and data center costs. Granulate’s service does not require developer intervention nor does it require the customer to make changes to its own code. Optimizations for the latest CPUs can be applied even on legacy Linux distributions and runtimes.

Intel said the acquisition of Granulate will help cloud and data center customers maximize compute workload performance and reduce infrastructure and cloud costs. Deal terms are not being disclosed.

“Today’s cloud and data center customers demand scalable, high-performance software to make the most of their hardware deployments,” said Sandra Rivera, executive vice president and general manager of the Datacenter and AI Group at Intel. “Granulate’s cutting-edge autonomous optimization software can be applied to production workloads without requiring the customer to make changes to its code, driving optimized hardware and software value for every cloud and data center customer.”

Greg Lavender, chief technology officer, senior vice president and general manager of the Software and Advanced Technology Group at Intel, said: “We are building our portfolio of software optimization tools that offer flexible and scalable capabilities that allow us to meet the growing demand of the ubiquitous compute era. Granulate’s innovative approach to real-time optimization software complements Intel’s existing capabilities by helping customers realize performance gains, cloud cost reductions and continual workload learning.”

http://www.intel.com