Building upon the success of their 8U/4U SuperBlade® servers which were launched earlier this year designed for reliability, servicability and affordability, Supermicro have today launched a collection of new 6U SuperBlade® solutions designed for the latest Intel® Xeon® Processor Scalable Family and beyond with the same fantastic attributes.
Key Features:
- Up to 28 U.2 NVMe or 42 SAS SSDs
- Up to four 25G/10G Ethernet switches (with support for 50G and 100G networking solutions to follow)
- Support for Intel® Xeon® Processor Scalable Family (up to 205 watts)
- 24 DIMM slots (2-socket blade) and 12 DIMM slots (1-socket blade)
- Support M.2 NVMe, Intel Optane™ and Apache Pass
- Up to 90% cabling reduction compared to 1U server solutions
- Rack Scale Design
Charles Liang, President and CEO of Supermicro says; “With up to 14 Intel® Xeon® Scalable Processor-based blade servers with maximum memory, NVMe, BBP, and 25G Ethernet switch support, our enterprise, cloud and data center customers can benefit from this high-performance and high-density solution. The disaggregated architecture unlocks the interdependence between the major server subsystems enabling the independent upgrade of the CPU and Memory, I/O, Storage as well as Power and Cooling. Now each component can be refreshed on-time to maximize Moore’s Law improvements in performance and efficiency instead of waiting for a single monolithic server refresh cycle.”
“A disaggregated server architecture enables the independent upgrades of the compute modules without replacing the rest of the enclosure including networking, storage, fans and power supplies, which refresh at a slower rate,” said Shesha Krishnapura, Intel Fellow and Intel IT CTO. “By disaggregating CPU and memory, each resource can be refreshed independently allowing data centers to reduce refresh cycle costs. When viewed over a three to five year refresh cycle, a SuperBlade® with Intel’s Rack Scale Design disaggregated server architecture will deliver, on-average, higher-performing and more-efficient servers at lower costs than traditional rip-and-replace models by allowing data centers to independently optimize adoption of new and improved technologies.”
Ideal for the following use-cases:
- Virtualisation
- Simulation, CAE, EDA
- Artificial Intelligence (AI)
- Big Data / Business Intelligence
- ERP / CRM
- HPC