Hyperscale
What is hyperscale?
Hyperscale refers to the complete mix of hardware and facilities that can scale a distributed computing environment up to thousands of servers. As its name implies, hyperscale is all about achieving massive scale in computing—typically for big data or cloud computing. Hyperscale infrastructure is designed for horizontal scalability and leads to high levels of performance, throughput, and redundancy to enable fault tolerance and high availability. Hyperscale computing often relies on massively scalable server architectures and virtual networking.
Why Hyperscale?
There are many reasons why an organization might adopt hyperscale computing. Hyperscale may offer the best, or only, way to realize a specific business goal like providing cloud computing services. Generally, though, hyperscale solutions deliver the most cost-effective approach to addressing a demanding set of requirements. For example, a big data analytics project might be most economically addressed through the scale and computing density available in hyperscale.
HPE Hyperscale
The HPE Apollo high-density server family is the HPE solution for hyperscale computing. Each Apollo high-density server is built for the highest levels of performance and efficiency. The density-optimized Apollo family enables organizations to achieve hyperscale within relatively small physical facilities. They offer a tiered approach to hyperscale.
Complete HPE Apollo portfolio
See all components across the entire HPE Apollo line of high-density servers to explore and compare details.
HPE Apollo 6000 Chassis
Performance-optimized, air-cooled solution for getting the most out of your infrastructure—and your investments
- 20 percent more performance for single-threaded applications
- 60 percent less space than a computing blade
- $3 million USD of TCO savings over three years with 1,000 servers
Apollo 4000 Systems for Big Data and HPC Storage
Purpose-built to service Hadoop® and other big data analytics and object storage systems.
- Maximize disk density with 68 LFF disks in a 4U form factor
- Hadoop-based data mining and NoSQL-based analytics
- Implement object storage with petabyte-scale data volumes
Bridging to scale-out architecture for traditional data centers. Highly dense and packs a lot of performance and workload capacity into small spaces.
- Four independent hot-pluggable HPE Apollo 2000 servers in a single 2U
- 2x the performance density of standard 1U servers at a comparable cost