Why Amazon EC2 M8g Instances?
Amazon Elastic Compute Cloud (Amazon EC2) M8g instances, powered by the latest-generation AWS Graviton4 processors, provide the best price performance in Amazon EC2 for general purpose workloads. Amazon EC2 M8g instances are ideal for workloads such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. M8g instances offer up to 30% better performance and larger instance sizes with up to 3x more vCPUs and memory than the seventh-generation AWS Graviton3-based M7g instances.
Discover the benefits of AWS Graviton4
Benefits
Features
Product details
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M8g
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M8g
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M8g instances are powered by Arm-based AWS Graviton4 processors. They deliver the best price performance in Amazon EC2 for general purpose workloads.
Instance size vCPU Memory (GiB) Instance storage (GB) Network bandwidth (Gbps) Amazon EBS bandwidth (Gbps) m8g.medium
1
4
EBS-only
Up to 12.5
Up to 10
m8g.large
2
8
EBS-only
Up to 12.5
Up to 10
m8g.xlarge
4
16
EBS-only
Up to 12.5
Up to 10
m8g.2xlarge
8
32
EBS-only
Up to 15
Up to 10
m8g.4xlarge
16
64
EBS-only
Up to 15
Up to 10
m8g.8xlarge
32
128
EBS-only
15
10
m8g.12xlarge
48
192
EBS-only
22.5
15
m8g.16xlarge
64
256
EBS-only
30
20
m8g.24xlarge
96
384
EBS-only
40
30
m8g.48xlarge
192
768
EBS-only
50
40
m8g.metal-24xl
96
384
EBS-only
40
30
m8g.metal-48xl
192
768
EBS-only
50
40
Customer testimonials
Here are some examples of how customers and partners have achieved their business agility, price performance, cost savings, and sustainability goals with Amazon EC2 M8g instances.
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Arctic Wolf
Arctic Wolf is the leader in security operations. Using the cloud-native Arctic Wolf Platform, we help organizations end cyber risks by providing security operations as a concierge service. All Arctic Wolf solutions were developed in collaboration with AWS. Our relationship ensures Arctic Wolf technology, processes, and services fully utilize AWS advanced computing including AWS Graviton-based Amazon EC2 instances, storage, networking, and more. With AWS Graviton3-based Amazon EC2 M7g instances we achieved up to 20% performance and 17% price-performance improvement over comparable x86-based instances. With the launch of Graviton4-based Amazon EC2 M8g instances we look forward to further improve both customer efficiencies and experience through greater performance and sustainability benefits.
Greg Jacobs, Senior Manager R&D, Arctic Wolf -
IBM
IBM Instana Observability automatically discovers, maps, and monitors all services and infrastructure components, providing complete visibility across your application stack.
At its core Instana is a real-time streaming analytics platform. We collect, process, analyze, and store petabytes of data in order to build a digital twin of the observed environments. This means handling one-second granularity metrics and 100% of IT request traces, along with logs, events, performance profiles, and other data. Performance and efficiency are key to the way we run our platform at scale. We previously transitioned to AWS Graviton3-based Amazon EC2 C7g, M7g, and R7g instances across our distributed microservice and datastore deployments.This helped us achieve up to 35% reduction in CPU utilization with 18% lower cost. AWS Graviton4 takes us beyond that. Our tests show further reduction in CPU utilization by up to 30%. At the same time, it improved our platform’s responsiveness and query times. With the release of the new Graviton4-based C8g and M8g instances, we’re now in a position to adopt Graviton4 to optimize the price performance of all varieties of our workloads.
Chris Bailey, CTO and Distinguished Engineer, IBM Instana Observability -
Quora
We migrated our Python webservers to the AWS Graviton3-based Amazon EC2 C7g instances. We observed an up to 30% improvement in price performance compared to the leading x86-based Amazon EC2 instances available at that time. This motivated us to migrate many more services to Graviton, including asynchronous task workers (Airflow, email servers), data processing engines (Spark, Trino), and caching servers (Memcached, Redis). Remarkably, we saw similar great performance improvement and cost reduction in all of the systems we migrated. Graviton has become a key pillar in our cost-management strategy, enabling us to save costs while delivering a fast and responsive product experience to our users. We are excited about AWS Graviton4-based Amazon EC2 C8g instances with more performance and larger instance sizes and expect it to further help our existing and new workloads
Michael Ran Chen, Director of Engineering, Quora -
Zendesk
At Zendesk we’re on a mission to simplify the complexity of business and make it easy for companies and customers to create connections. Since migrating a large portion of our Kubernetes -based platform to AWS Graviton3-based Amazon EC2 M7g instances in February ’23, Zendesk has enjoyed a ~15% performance boost at a lower cost point. With the coming AWS Graviton4-based Amazon EC2 M8g instances offering up to 30% better performance vs. M7g instances, we look forward to pushing the needle further. We’re excited about the larger instances sizes too. With up to 192 vCPUs, there's more opportunity for our Kubernetes control plane to bin-pack and colocate performance-critical services, offering an even better experience for our customers.
Joseph Landers, Director of Engineering, Zendesk