AWS Enhanced Its Memory-Optimisation to Win Over SAP HANA
Amazon Web Services Inc’.s has the latest addition of bare-metal servers to its ever-growing cloud. These servers aim enterprises running SAP SE applications.
All the machines will join the EC2 High Memory instance family which was launched by AWS last year.
AWS has recently introduced new EC2 instances packed with large amounts of RAM. They both consist of a pack of eight Intel Corp. central processing units with a 2.7 -gigahertz base clock rate and a combined 448 processing cores.
Memory allocation is a big difference between these two parties. AWS declared that the first, dubbed 18tb 1.metal, packs 18 tebibytes of memory whereas the bigger 18tb 1 .metal is configured with a hefty 24 tebibytes. That will translate to approximately 20 terabytes and 26 terabytes respectively.
This liberal RAM pool is believed to make the instances highly suitable for running SAP’s – widely-deployed business management applications, which uses a memory-hungry database called as HANA under the hood to process data.
Another important advantage the instances have is that they provide four times more network bandwidth compared to the old members of the EC2 High Memory family. Each server has the ability to transfer data at the rates of up to 100 gigabits per second. This indicates that applications can not only accommodate more information from external systems but can also do so at a faster rate.
AWS will initially be making the instances available from its North Virginia data center and later will be adding more locations set to it. This new hardware gains advantage over Google LLC, which has last month introduced two HANA-optimised instances with 5.8 and 11.7 terabytes of memory. AWS now walks at the same height with Microsoft Corp., – its other major competitor in the cloud market, whose own HANA-optimised virtual machines max out at 26 terabytes of RAM.
Now, these instances continue the trend of cloud providers to develop highly niche hardware offerings to compete for high-value enterprise workloads. Another significant example is Google’s TPU Pods which were introduced in May. TPU Pods are important supercomputers available for rent, which allows organisations to provision up to 107.5 of processing power for machine learning projects.
AWS is all set to help their customers manage workloads that help organisations to work smoothly. It’s a tough competition for Google, Microsoft – well known leaders in cloud market.