Intel® RDT enables monitoring and control over shared processor resources, enabling detection and control of “noisy neighbors”, improved consolidation density, and reduced TCO – and functions across VMs, Containers and traditional operating systems.
See how Huawei Technologies Co., Ltd. doubles system performance and cuts operating costs by migrating from RISC to Intel® architecture.
See how, by migrating its EHR database from RISC to an open standards-based architecture, University Health is slashing total cost of ownership (TCO) while boosting performance, flexibility, and coordinated care for patients.
See how by migrating from RISC to Dell platforms powered by the Intel® Xeon® processor E7 family, University Health expects to cut total cost of ownership (TCO) by 40 percent for its Epic and Caché* deployment, reducing costs, complexity, and risks.
Intel's vision focuses on software-defined infrastructure that will enable organizations to do amazing things through their data centers by delivering business services, such as analytics, more efficiently via the cloud.
This guide illustrates how to design fast, scalable storage solutions for data intensive computing.
Intel® Enterprise Edition for Lustre* software accelerates time to solution. This guide illustrates how to design fast, scalable storage solutions for data intensive computing.
With IoT and large-scale data analytics, Intel mfg can analyze large volumes of data, identify the most useful data, and provide actionable reports.
The factories’ IT engineers realize the potential value of IoT and large-scale data analytics in three ways: analyzing volumes of data, identifying what is useful, and reporting that data in a way that meets the needs of engineers and managers.
An integrated analytics platform built by Intel IT is helping sales and marketing reduce BI insight latency from months to days.
Intel IT is building an analytics platform that integrates and connects business intelligence (BI) data using a data lake model to reduce insight latency from months to days. Eventually, we aim to reduce data insight latency to 24 hours.