Pasar al contenido principal
Resource Type
Showing 61 - 75 results of 88
View as:

Supermicro Multi Processor (MP) Validated Solutions for SAP HANA

Supermicro’s Multi Processor (MP) product line is a family of servers designed for the most intensive computing and In-Memory workloads for today’s demanding real-time databases, data warehouses, CRM and ERP Applications, and “Big Data feed into AI” workflows. The MP product family are rack mounted solutions powered by 4 or 8 Intel Xeon Scalable Processors in a single node architecture, with no latency-reducing cabling.
Read More

BigTwin® White Paper

First and Only 2U Multi-Node Systems supporting 205W dual-Xeon Processors, 24 DIMM slots per node, and 24 All-Flash NVMe.
Read More

Achieving Exceptional TCO Savings with 8U SuperBlade®

Supermicro high performance, density optimized and energy efficiency blade server solutions can significantly reduce initial capital and operational expenses for many organizations. In particular, Supermicro's new generation SuperBlade® product portfolio has been designed to optimize key components of TCO for today's datacenters, such as free-air cooling, power efficiency, node density and networking management.
Read More

Supermicro Powers Mobile with CloudMosa

“Our MicroCloud microservers from Supermicro have helped the Puffin web browser to become the world’s #1 mobile web browser,” said Shioupyn Shen, founder and CEO of CloudMosa. “With MicroCloud we have realized 5x cost savings and 30% power savings advantages over competitors’ systems..."
Read More

Advanced In-Memory Computing using Supermicro MemX Solution

With the rise of real time and on-demand applications, massive data is generated which needs better and faster processing that derives meaningful patterns from the data generated. In Big Data generation, it is said that bigger is always better but that holds true only if data can be processed quickly to be utilized by key stake holders. Failure to achieve desired performance leads to revenue losses and highlights the need of in-memory computing.
Read More