Customer data centers today require  unique server solutions that run complex,  business-critical workloads. Increasingly,  it takes more of your resources to develop  those solutions. Intel® Data Center Blocks  make it easier for you to adopt, qualify,  and sell the latest Intel® technology,  helping you address the demands of  today’s data centers.

    The Intel® Server Board S2600ST product family delivers robust features and powerful performance in a standard 12” x 13” EEB form factor for flexibility and ease of adoption. Featuring the 2nd Generation Intel® Xeon® Scalable processor family, high PCIe* lane availability, and SAS/SATA/NVMe* flexibility, it provides a cost-effective option for pedestal, rack mount or custom systems. The S2600ST is ideal for use in small and medium business, storage, networking, web hosting, and security appliances where feature capacity and price-performance balance is key.

    This deck provides and overview of Intel® Data Center Blocks, highly integrated systems that include not only a board and chassis but also processors, SSDs, Ethernet, fabric, and even memory. We have pre-defined SKUs that are optimized for specific workloads or segments including HPC, cloud, business and networking, and the option to custom design a system for one of these segments or for the workload or segment of your choice.  Also covered is Intel® Select Solutions and current promotions.

    Network Functions Virtualization Addresses Growing Data Challenges

    As the amount of data crossing networks grows and the systems used to transport and house content become larger and increasingly complex, Communications Service Providers (CommSPs) need to evolve from costly, inflexible, fixed-function systems to fully-virtualized sets of network functions on scalable, agile, cost-effective servers. With the global network functions virtualization (NFV) market projected to grow, a massive market opportunity exists. However, many system builders do not have deep experience in designing for the unique requirements of multi-function systems and are looking for a way to address the complexity they face in selecting and validating optimal configurations.