Amazon EC2 X2gd instances

Lowest cost per GiB of memory in Amazon EC2 for memory-intensive applications

Why Amazon EC2 X2gd instances?

Amazon Elastic Compute Cloud (EC2) X2gd instances are memory-optimized instances powered by AWS-designed, Arm-based AWS Graviton2 processors. They deliver up to 55% better price performance compared to x86-based X1 instances. They also offer twice the memory per vCPU compared to R6g/R5 instances and the lowest cost per GiB of memory in Amazon EC2. The higher performance and additional memory of X2gd instances enable customers to run memory-intensive workloads such as in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), electronic design automation (EDA) workloads, real-time analytics, and real-time caching servers. Additionally, as more customers run containers on AWS for application portability and infrastructure efficiency, X2gd instances make it possible for them to bundle more memory-intensive containerized applications on a single instance to optimize their compute infrastructure.

X2gd instances include local NVMe-based SSD block-level storage for applications that need high-speed, low latency access to data sets for caching and real-time analytics.

Try Amazon EC2 T4g Instances Today

Free Trial: Try Amazon EC2 t4g.small instances powered by AWS Graviton2 processors free for up to 750 hours / month until Dec 31st 2025. Refer to the FAQ for additional details.

Benefits

Features

Product Details

Instance Size

vCPU

Memory (GiB)

Instance Storage (GB)

Network Bandwidth (Gbps)

EBS Bandwidth (Gbps)

x2gd.medium

1

16

1 x 59 NVMe SSD

Up to 10

Up to 4.75

x2gd.large

2

32

1 x 118 NVMe SSD

Up to 10

Up to 4.75

x2gd.xlarge

4

64

1 x 237 NVMe SSD

Up to 10

Up to 4.75

x2gd.2xlarge

8

128

1 x 475 NVMe SSD

Up to 10

Up to 4.75

x2gd.4xlarge

16

256

1 x 950 NVMe SSD

Up to 10

4.75

x2gd.8xlarge

32

512

1 x 1900 NVMe SSD

12

9.5

x2gd.12xlarge

48

768

2 x 1425 NVMe SSD

20

14.25

x2gd.16xlarge

64

1,024

2 x 1900 NVMe SSD

25

19

x2gd.metal

64

1,024

2 x 1900 NVMe SSD

25

19

Customer testimonials

Here are examples of how customers and partners have achieved their business agility, price performance, cost savings, and sustainability goals with Amazon EC2 X2gd instances.

  • Cadence

    Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. 

    Cadence’s computational software heritage enables customers to turn electronic design concepts into reality across a variety of end markets, including hyperscale computing, mobile, and 5G communications. We have successfully run our verification and library characterization products on the AWS Graviton2-based R6g memory optimized instances, delivering compelling price-performance benefits. The new Graviton2-based X2g instances have a much larger memory footprint, which will allow for more efficient runs and enable even more memory-intensive EDA workloads.

    Nimish Modi, Senior Vice President, Marketing & Business Development at Cadence
  • SmugMug

    SmugMug is a paid image sharing service, image hosting service, and online video platform on which users can upload photos and videos. The company facilitates the sale of digital and print media for amateur and professional photographers. 

    SmugMug operates two very large online photo platforms, SmugMug and Flickr, enabling more than 100 million members to safely store, search, share, and sell tens of billions of photos. Last year we were able to transition our caching servers to r6gd.8xlarge instances with a simple recompile and are enjoying a 33% price benefit and improved latency. The large memory footprint of the new X2gd instances allows us to consolidate our caching on instances that closely match our workload, lowering our cost per instance and cost per GB of RAM by an additional 28%.

    Andrew Shieh, Director of Operations at SmugMug
  • Synopsys

    As an S&P 500 company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and offers the industry’s broadest portfolio of application security testing tools and services. 

    Synopsys’ customers are increasingly leveraging cloud for scaling and accelerating applications across our portfolio for system-on-chip (SoC) design processes, including verification, library characterization, analog, and digital design implementation flows. Our anchor products, such as Synopsys’ VCS functional verification solution, are optimized to use advances in hardware performance and memory introduced in AWS’s Graviton2-based X2gd instances, enabling our customers to accelerate SoC verification and design.

    Deirdre Hanford, Chief Security Officer, Synopsys
  • Annapurna Labs

    Annapurna Labs, an Amazon company, is the chip development arm of AWS responsible for designing the AWS Nitro System, AWS Graviton processors, AWS Inferentia chips, and AWS Trainium chips. 

    At Annapurna Labs, we have been running almost all of our chip simulations and verification up till now on Graviton2-based R6g instances. With the new X2gd instances, we are able to double the number of full chip and cluster level simulations for same instance size, allowing us to do twice the output while reduce costs at the same time.

    Nafea Bshara, Vice President, and Distinguished Engineer at Annapurna Labs
  • Arm

    Technology has become ubiquitous in all industries, driving the need for more compute products in less time while simultaneously using fewer resources to keep costs low. The design, verification, and implementation of silicon IP are the most critical phases between idea and a finished product produced in volume, and we have measured a performance uplift of 45% on EDA workloads when running on Arm-based Graviton2-powered X2gd cloud instances compared to previous generation X1 instances.

    Mark Galbraith, Head of Productivity Engineering, Arm