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In 2016, we launched Amazon EC2 X1 situations designed for large-scale and in-memory purposes within the cloud. The worth per GiB of RAM for X1 situations is among the many lowest. X1 situations are perfect for excessive efficiency computing (HPC) purposes and operating in-memory databases like SAP HANA and massive information processing engines equivalent to Apache Spark or Presto.
The next yr, we launched X1e situations with as much as 4 TiB of reminiscence designed to run SAP HANA and different memory-intensive, in-memory purposes. These situations 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 Information Mart Options on HANA on the AWS Cloud.
Right this moment, I’m completely happy to announce the final availability of Amazon EC2 X2idn/X2iedn situations, constructed on the AWS Nitro system and that includes the third-generation Intel Xeon Scalable (Ice Lake) processors with as much as 50 % increased compute worth efficiency than comparable X1 situations. These enhancements lead to as much as 45 % increased SAP Utility Efficiency Normal (SAPS) efficiency than comparable X1 situations.
You might need observed that we’re now utilizing the “i” suffix within the occasion kind to specify that the situations are utilizing an Intel processor, “e” within the memory-optimized occasion household to point prolonged reminiscence, “d” with native NVMe-based SSDs which can be bodily related to the host server, and “n” to assist increased community bandwidth as much as 100 Gbps.
X2idn situations allow as much as 2 TiB of reminiscence, whereas X2iedn situations allow as much as 4 TiB of reminiscence. X2idn and X2iedn situations additionally assist 100 Gbps of community efficiency with hardware-enabled VPC encryption and assist 80 Gbps of Amazon EBS bandwidth and 260k 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 | 4 | 128 | 1 x 118 | As much as 25 | As much as 20 |
| x2iedn.2xlarge | 8 | 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 situations are perfect for operating giant in-memory databases equivalent to SAP HANA. All the X2idn occasion sizes are licensed by SAP for manufacturing HANA and S/4HANA workloads. As well as, X2idn situations are perfect for memory-intensive and latency-sensitive workloads equivalent to Apache Spark and Presto, and for producing real-time analytics, processing big graphs utilizing Neo4j or Titan, or creating huge caches.
X2iedn situations are optimized for purposes that search excessive reminiscence to vCPU ratio and ship the best reminiscence capability per vCPU amongst all virtualized EC2 occasion sorts. X2iedn is suited to run high-performance databases (equivalent to Oracle DB, SQL server) and in-memory workloads (equivalent to SAP HANA, Redis). Workloads which can be sensitized to per-core licensing, equivalent to Oracle DB, tremendously profit from the upper reminiscence per vCPU (32GB:1vCPU) supplied by X2iedn. X2iedn means that you can optimize licensing prices as a result of it gives clients the identical reminiscence at half the variety of vCPU in comparison with X2idn.
These situations supply the identical quantity of native storage as in X1/X1e, as much as 3.8 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 here are some enjoyable information concerning the X2idn and X2iedn situations:
Optimizing CPU—You may disable Intel Hyper-Threading Know-how for workloads that carry out properly with single-threaded CPUs, like some HPC purposes.
NUMA—You may make use of non-uniform reminiscence entry (NUMA) on X2idn and X2iedn situations. This superior function is price exploring when you have a deep understanding of your software’s reminiscence entry patterns.
Obtainable Now
X2idn situations are actually accessible within the US East (N. Virginia), Asia Pacific (Mumbai, Singapore, Tokyo), Europe (Frankfurt, Eire) Areas.
X2iedn situations are actually accessible within the US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Singapore, Tokyo), Europe (Frankfurt, Eire) Areas.
You should utilize On-Demand Cases, Reserved Cases, Financial savings Plan, and Spot Cases. Devoted Cases and Devoted Hosts are additionally accessible.
To be taught extra, go to our EC2 X2i Cases web page, and please ship suggestions to AWS re:Submit for EC2 or via your typical AWS Assist contacts.
– Channy
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