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In 2016, we launched Amazon EC2 X1 cases designed for large-scale and in-memory purposes within the cloud. The worth per GiB of RAM for X1 cases is among the many lowest. X1 cases are perfect for excessive efficiency computing (HPC) purposes and working in-memory databases like SAP HANA and massive knowledge processing engines comparable to Apache Spark or Presto.
The next 12 months, we launched X1e cases with as much as four TiB of reminiscence designed to run SAP HANA and different memory-intensive, in-memory purposes. These cases are licensed by SAP to run manufacturing environments of the next-generation Enterprise Suite S/4HANA, Enterprise Suite on HANA (SoH), Enterprise Warehouse on HANA (BW), and Knowledge Mart Options on HANA on the AWS Cloud.
At this time, I’m comfortable to announce the final availability of Amazon EC2 X2idn/X2iedn cases, constructed on the AWS Nitro system and that includes the third-generation Intel Xeon Scalable (Ice Lake) processors with as much as 50 p.c larger compute value efficiency than comparable X1 cases. These enhancements lead to as much as 45 p.c larger SAP Utility Efficiency Customary (SAPS) efficiency than comparable X1 cases.
You might need seen that we’re now utilizing the “i” suffix within the occasion kind to specify that the cases are utilizing an Intel processor, “e” within the memory-optimized occasion household to point prolonged reminiscence, “d” with native NVMe-based SSDs which are bodily linked to the host server, and “n” to assist larger community bandwidth as much as 100 Gbps.
X2idn cases allow as much as 2 TiB of reminiscence, whereas X2iedn cases allow as much as four TiB of reminiscence. X2idn and X2iedn cases additionally assist 100 Gbps of community efficiency with hardware-enabled VPC encryption and assist 80 Gbps of Amazon EBS bandwidth and 260okay IOPs with EBS-encrypted volumes.
| Occasion Title | vCPUs | RAM (GiB) | Native NVMe SSD Storage (GB) | Community Bandwidth (Gbps) | EBS-Optimized Bandwidth (Gbps) |
| x2idn.16xlarge | 64 | 1024 | 1 x 1900 | As much as 50 | As much as 40 |
| x2idn.24xlarge | 96 | 1536 | 1 x 1425 | 75 | 60 |
| x2idn.32xlarge | 128 | 2048 | 2 x 1900 | 100 | 80 |
| x2iedn.xlarge | four | 128 | 1 x 118 | As much as 25 | As much as 20 |
| x2iedn.2xlarge | eight | 256 | 1 x 237 | As much as 25 | As much as 20 |
| x2iedn.4xlarge | 16 | 512 | 1 x 475 | As much as 25 | As much as 20 |
| x2iedn.8xlarge | 32 | 1024 | 1 x 950 | 25 | 20 |
| x2iedn.16xlarge | 64 | 2048 | 1 x 1900 | 50 | 40 |
| x2iedn.24xlarge | 96 | 3072 | 2 x 1425 | 75 | 60 |
| x2iedn.32xlarge | 128 | 4096 | 2 x 1900 | 100 | 80 |
X2idn cases are perfect for working giant in-memory databases comparable to SAP HANA. All the X2idn occasion sizes are licensed by SAP for manufacturing HANA and S/4HANA workloads. As well as, X2idn cases are perfect for memory-intensive and latency-sensitive workloads comparable to Apache Spark and Presto, and for producing real-time analytics, processing large graphs utilizing Neo4j or Titan, or creating monumental caches.
X2iedn cases are optimized for purposes that search excessive reminiscence to vCPU ratio and ship the very best reminiscence capability per vCPU amongst all virtualized EC2 occasion sorts. X2iedn is suited to run high-performance databases (comparable to Oracle DB, SQL server) and in-memory workloads (comparable to SAP HANA, Redis). Workloads which are sensitized to per-core licensing, comparable to Oracle DB, drastically profit from the upper reminiscence per vCPU (32GB:1vCPU) provided by X2iedn. X2iedn means that you can optimize licensing prices as a result of it supplies prospects the identical reminiscence at half the variety of vCPU in comparison with X2idn.
These cases supply the identical quantity of native storage as in X1/X1e, as much as three.eight TB, however the native storage in X2idn/X2iedn is NVMe-based, which can supply an order of magnitude decrease latency in comparison with SATA SSDs in X1/X1e.
Issues to Know
Listed below are some enjoyable details in regards to the X2idn and X2iedn cases:
Optimizing CPU—You may disable Intel Hyper-Threading Expertise for workloads that carry out nicely with single-threaded CPUs, like some HPC purposes.
NUMA—You may make use of non-uniform reminiscence entry (NUMA) on X2idn and X2iedn cases. This superior characteristic is value exploring when you’ve got a deep understanding of your software’s reminiscence entry patterns.
Obtainable Now
X2idn cases at the moment are out there within the US East (N. Virginia), Asia Pacific (Mumbai, Singapore, Tokyo), Europe (Frankfurt, Eire) Areas.
X2iedn cases at the moment are out there within the US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Singapore, Tokyo), Europe (Frankfurt, Eire) Areas.
You need to use On-Demand Situations, Reserved Situations, Financial savings Plan, and Spot Situations. Devoted Situations and Devoted Hosts are additionally out there.
To study extra, go to our EC2 X2i Situations web page, and please ship suggestions to AWS re:Submit for EC2 or by your typical AWS Help contacts.
– Channy
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