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In 2016, we launched Amazon EC2 X1 cases designed for large-scale and in-memory functions 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) functions and working in-memory databases like SAP HANA and massive knowledge processing engines corresponding to Apache Spark or Presto.
The next 12 months, we launched X1e cases with as much as 4 TiB of reminiscence designed to run SAP HANA and different memory-intensive, in-memory functions. 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 Information Mart Options on HANA on the AWS Cloud.
Right now, I’m blissful to announce the overall 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 increased compute value efficiency than comparable X1 cases. These enhancements end in as much as 45 p.c increased 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 sort 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 might be bodily linked to the host server, and “n” to help increased community bandwidth as much as 100 Gbps.
X2idn cases allow as much as 2 TiB of reminiscence, whereas X2iedn cases allow as much as 4 TiB of reminiscence. X2idn and X2iedn cases additionally help 100 Gbps of community efficiency with hardware-enabled VPC encryption and help 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 cases are perfect for working massive in-memory databases corresponding 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 corresponding to Apache Spark and Presto, and for producing real-time analytics, processing large graphs utilizing Neo4j or Titan, or creating huge caches.
X2iedn cases are optimized for functions 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 (corresponding to Oracle DB, SQL server) and in-memory workloads (corresponding to SAP HANA, Redis). Workloads which might be sensitized to per-core licensing, corresponding to Oracle DB, tremendously profit from the upper reminiscence per vCPU (32GB:1vCPU) supplied by X2iedn. X2iedn permits you to optimize licensing prices as a result of it gives clients 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 3.8 TB, however the native storage in X2idn/X2iedn is NVMe-based, which is able to supply an order of magnitude decrease latency in comparison with SATA SSDs in X1/X1e.
Issues to Know
Listed here are some enjoyable info in regards to the X2idn and X2iedn cases:
Optimizing CPU—You’ll be able to disable Intel Hyper-Threading Know-how for workloads that carry out nicely with single-threaded CPUs, like some HPC functions.
NUMA—You can also make use of non-uniform reminiscence entry (NUMA) on X2idn and X2iedn cases. This superior function is value exploring in case you have a deep understanding of your software’s reminiscence entry patterns.
Accessible 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 should 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 means of your common AWS Help contacts.
– Channy
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