Amazon EC2 X8g Instances

The best price performance among Amazon EC2 X-series instances

Why Amazon EC2 X8g Instances?

Amazon Elastic Compute Cloud (Amazon EC2) X8g instances, powered by the latest-generation AWS Graviton4 processors, provide the lowest cost per GiB of memory among Graviton4-based EC2 instances. X8g instances also offer up to 60% better performance, up to 3TiB of memory, and larger instance sizes with up to 3x more vCPUs and memory than the X2gd instances.

The higher performance and additional memory of X8g 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 big data analytics, and real-time caching servers. Additionally, X8g instances make it possible to combine more memory-intensive containerized applications on a single instance to optimize their compute infrastructure.

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 2024. Refer to the FAQ for additional details.

Benefits

X8g instances provide up to 60% better price performance compared to previous generation X2gd instances. They also offer the lowest cost per GiB of memory among Graviton4-based instances and the best price performance among Amazon EC2 X-series instances. They are ideal for workloads such as large in-memory and relational databases, large caches, real-time big data analytics, electronic design automation (EDA), and memory constrained microservices.

X8g instances are built on the AWS Nitro System. The AWS Nitro System is a combination of dedicated hardware and a lightweight hypervisor that delivers isolated multitenancy, private networking, and fast local storage.

AWS Graviton-based instances are supported by most popular Linux operating systems. Many popular applications and services for security, monitoring and management, containers, and continuous integration and delivery (CI/CD) from AWS and software partners also support AWS Graviton-based instances. The AWS Graviton Ready program offers certified solutions from AWS Partner software vendors that you can use on AWS Graviton-based instances.

Features

AWS Graviton4 is the latest generation of server processors designed by AWS that provide the best performance and energy efficiency for workloads in Amazon EC2. AWS Graviton4 processors deliver up to 30% better compute performance than Graviton3 processors and 60% better compute performance than Graviton2 processors.

AWS Graviton4 processors offer enhanced security with always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication. X8g instances also support encrypted Amazon Elastic Block Store (Amazon EBS).

The AWS Nitro System is a rich collection of building blocks that offloads many of the traditional virtualization functions to dedicated hardware and software. It delivers high performance, high availability, and high security, thus reducing virtualization overhead.

Product details

  • X8g
  • X8g instances are powered by AWS Graviton4 processors. They deliver the best price performance among Amazon EC2 X-series instances.

    Instance size vCPU Memory (GiB) Instance storage (GB) Network bandwidth (Gbps) Amazon EBS bandwidth (Gbps)

    x8g.medium

    1

    16

    EBS-only

    Up to 12.5

    Up to 10

    x8g.large

    2

    32

    EBS-only

    Up to 12.5

    Up to 10

    x8g.xlarge

    4

    64

    EBS-only

    Up to 12.5

    Up to 10

    x8g.2xlarge

    8

    128

    EBS-only

    Up to 15

    Up to 10

    x8g.4xlarge

    16

    256

    EBS-only

    Up to 15

    Up to 10

    x8g.8xlarge

    32

    512

    EBS-only

    15

    10

    x8g.12xlarge

    48

    768

    EBS-only

    22.5

    15

    x8g.16xlarge

    64

    1,024

    EBS-only

    30

    20

    x8g.24xlarge

    96

    1,536

    EBS-only

    40

    30

    x8g.48xlarge

    192

    3,072

    EBS-only

    50

    40

    x8g.metal-24xl

    96

    1,536

    EBS-only

    40

    30

    x8g.metal-48xl

    192

    3,072

    EBS-only

    50

    40

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 X8g instances.

  • Cadence

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

    Cadence’s software is used to turn electronic design concepts into reality for the most dynamic market application, including hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial, and life sciences. We are excited about the rapid innovation in the Arm processor space and have successfully run a number of our products including Xcelium, Jasper etc. on the memory optimized AWS Graviton4-based Amazon EC2 R8g instances, delivering compelling price performance benefits. The new AWS Graviton4-based Amazon EC2 X8g instances have the largest memory footprint ever offered on a Graviton instance, enabling larger more memory-intensive EDA workloads to run more efficiently than ever.

    Mahesh Turaga, VP of Business Development, Cloud, Cadence
  • Siemens

    Siemens EDA customers require a range of software and compute platform solutions in order to address the ever-increasing complexity of IC development. The combination of Siemens EDA software and Amazon EC2 instances provides users with the ability to find the optimal balance of performance and cost-efficiency. The forthcoming AWS Graviton4-based instances family expansion with the higher memory per core in Amazon EC2 X8g instances will open up use for additional categories of EDA software. Siemens is excited to extend support for AWS Graviton across multiple products as part of our deep partnership and mutual commitment to making our mutual customers successful.

    Craig Johnson, VP EDA Cloud Solutions, Siemens EDA
  • Synopsys

    As system design complexity increases, there is greater demand for compute and memory resources. With the rise of Arm architecture-based compute instances on the cloud, we're partnering with AWS to help our customers scale their compute-intensive workloads seamlessly on the cloud using our industry-leading AI-driven EDA suite, resulting in faster time-to-market.

    Sanjay Bali, Senior Vice President of Product Management at Synopsys
  • Anthropic

    Leveraging Amazon EC2 X8g instances with AWS Graviton processors has dramatically improved our ability to process massive datasets for AI training, offering an ideal blend of high memory capacity, energy efficiency, and cost-effectiveness that accelerates our pursuit of advanced machine learning at scale.

    Nova DasSarma, Member of Technical Staff, Anthropic
  • Arm

    Accelerating chip design and implementation while managing cost is critical to our ability to enable our partners with the Arm technology they need to innovate. With increasingly complex processor designs required across an array of application domains, the selection of the optimal compute and memory performance play a key role in innovating more rapidly and reducing our time-to-market. The AWS Graviton4-based Amazon EC2 X8g instances massively expands the applicability of Graviton to important new areas such as silicon layout, while improving the efficiency of existing large memory use cases. In our testing, the X8g instances reduced time-to-results for one such workload - formal verification - by 50% compared to the previous generation X2gd instances.

    Tim Thornton, Director of Arm-based Engineering, Arm
  • DataStax

    At DataStax, we are always striving to enhance the performance and cost-efficiency of our AI PaaS for our customers. DataStax Astra DB has been leveraging AWS Graviton instances to deliver outstanding throughput and performance while keeping costs manageable. We are thrilled about the upcoming release of AWS Graviton4-based Amazon EC2 X8g instances and have seen it boost throughput and performance right away. We look forward to incorporating X8g instances into our infrastructure as soon as it becomes generally available, further advancing the capabilities of Astra DB for our users.

    Ed Anuff, CPO, DataStax
  • Rescale

    Rescale is thrilled to introduce Amazon EC2 X8g instances powered by AWS Graviton4 processors to our customers. The advanced capabilities of the X8g instances, including their impressive memory bandwidth combined with high core count per node and enhanced network bandwidth, will enable us to deliver even more power-efficient and cost-performant computational resources to our customers.

    Radhika Gundavelli, HPC Engineering Manager, Rescale
  • Row Zero

    Row Zero is the world’s fastest cloud-based spreadsheet that looks and feels like Excel but can handle billions of rows. It eliminates ungoverned CSV exports and lets business teams analyze data from their data warehouse in a secure, and powerful spreadsheet.

    Row Zero workbooks run on Amazon EC2. Previously, we used Amazon EC2 X2gd and R7g instances to strike a balance between performance and costs. The new AWS Graviton4-based Amazon EC2 X8g instances offer compelling performance and cost for our memory-bound workloads. Our key latency-critical workloads such as pivot table operations, large CSV imports, and COUNTIFs saw a 42% performance improvement over previous generation X2gd instances and 28% lower cost per GB of memory than R7g instances. Looking forward, we expect the adoption of X8g instances will deliver an immediate performance boost while reducing our costs.

    Breck Fresen, Founder/CEO, Row Zero
  • SAP

    In November of last year, we announced that SAP HANA Cloud was live on AWS Graviton-based instances, leading to a 35% price performance improvement for analytics workloads, and an estimated 45% reduction in carbon footprint for SAP HANA Cloud. SAP has found that SAP HANA Cloud on AWS Graviton4-based instances shows up to 25% performance improvement for analytical workloads, and up to 40% improvement for transactional workloads compared to AWS Graviton3-based instances. We are excited about the new AWS Graviton4-based Amazon EC2 X8g instances offering up to 3TiB of memory for our larger memory bound solutions. We plan to include X8g instances among other AWS Graviton-based instances across several services in SAP BTP and SAP HANA Cloud.

    Stefan Bauerle, SVP and Head of Database, SAP
  • Zilliz

    Vector similarity searches are computationally intensive, requiring powerful hardware for optimal performance. Zilliz Cloud, known for its high performance and scalability, optimizes its service for these demanding workloads. Today, customers utilize AWS Graviton3-based Amazon EC2 R7g instances, offering superior performance and cost-effectiveness compared to the previous R6i solutions. Zilliz Cloud will soon offer instances on AWS Graviton4-based Amazon EC2 X8g instances, providing a powerful scale-up option to the Zilliz Cloud portfolio. These new instances will provide customers with even faster, more efficient vector search services.

    James Luan, VP of Engineering, Zilliz Inc.