September 13, 2026

AWS Unveils Amazon EC2 R9g and R9gd Instances Powered by Graviton5: A New Era for Memory-Optimized Cloud Computing

aws-unveils-amazon-ec2-r9g-and-r9gd-instances-powered-by-graviton5-a-new-era-for-memory-optimized-cloud-computing

aws-unveils-amazon-ec2-r9g-and-r9gd-instances-powered-by-graviton5-a-new-era-for-memory-optimized-cloud-computing

SEATTLEAmazon Web Services (AWS), an Amazon.com, Inc. company, has officially announced the general availability of the new Amazon EC2 R9g and R9gd instance families. Powered by the cutting-edge AWS Graviton5 processors—touted as the most energy-efficient silicon ever engineered by the cloud giant—these memory-optimized instances deliver up to a 25% boost in compute performance compared to their predecessors, the Graviton4-based R8g instances.

The launch marks a significant milestone in custom cloud hardware design. By pairing breakthrough performance gains with enhanced energy efficiency, sophisticated network and storage capabilities, and a groundbreaking hypervisor security model, AWS aims to redefine how enterprises handle memory-intensive workloads, ranging from large-scale relational databases to real-time distributed analytics.


Main Facts

The introduction of the R9g and R9gd EC2 instances introduces several high-performance hardware and architectural enhancements designed to address the escalating resource demands of modern cloud-native applications.

  • Next-Generation Silicon: Powered by AWS Graviton5 processors, the R9g and R9gd series deliver up to 25% better compute performance than Graviton4-based R8g instances while consuming less energy.
  • Target Workloads: These instances are explicitly optimized for memory-intensive operations. Ideal use cases include open-source and commercial databases, in-memory caching engines (such as Valkey, Redis, and Memcached), real-time big data analytics, and Linux-based containerized microservices running on platforms like Kubernetes, Docker, Amazon EKS, and Amazon ECS.
  • Programming Language Support: They provide native, high-performance execution environments for applications written in C/C++, Rust, Go, Java, Python, .NET Core, Node.js, Ruby, and PHP without requiring fundamental code rewrites.
  • Local NVMe Storage Variants: The R9gd variant incorporates high-speed, low-latency local NVMe-based SSD block-level storage, tailored for workloads requiring fast scratch space or local caching layers.
  • Instance Bandwidth Configuration (IBC): Both instance families support IBC, allowing administrators to dynamically adjust bandwidth allocation between Amazon EBS and Amazon VPC networking by up to 25% to match specific workload bottlenecks.
  • Nitro Isolation Engine (NIE): Operating on the AWS Nitro System, these instances leverage the Nitro Isolation Engine, utilizing formal mathematical verification to enforce hypervisor-level security isolation between virtual machines.
  • Extensive Scalability: Both lineups are available in 11 distinct sizing tiers, scaling from a lean medium instance up to a powerhouse metal-48xl configuration boasting 192 vCPUs and 1,536 GiB (1.5 TiB) of system memory.

Chronology: The Evolution to Graviton5

The arrival of the R9g and R9gd instances is the culmination of years of iterative hardware engineering and strategic silicon development by AWS, shifting the paradigm of what customers expect from cloud infrastructure.

The Rise of Custom Silicon

For years, cloud providers relied exclusively on merchant silicon vendors like Intel and AMD for general-purpose and memory-optimized workloads. However, realizing the need for better price-performance ratios and reduced power footprints, AWS pioneered its custom Arm-based processor journey with the introduction of AWS Graviton in 2018.

Subsequent generations—Graviton2, Graviton3, and Graviton4—progressively closed the performance gap with traditional x86 architectures while establishing a massive lead in power efficiency. The transition from Graviton4 to Graviton5 represents the latest leap forward in transistor density, architectural pipelining, and energy-per-watt metrics.

Integration of the Nitro System and Formal Verification

As cloud security threats evolved, AWS recognized that hardware-level virtualization security needed a radical rethink. Earlier this year, AWS introduced the Nitro Isolation Engine with its C9g and M9g compute and memory families. By bringing this advanced security architecture to the memory-optimized R9g and R9gd lines, AWS has solidified its commitment to mathematically proven multi-tenant isolation, setting a new benchmark for cloud infrastructure trust.

General Availability

Effective immediately, the R9g and R9gd instances are globally available in select AWS Regions, backed by comprehensive support across major Linux distributions, container ecosystems, and automated migration tooling.


Supporting Data & Technical Specifications

The R9g and R9gd instance families are engineered to scale seamlessly, accommodating small microservices as well as massive, enterprise-grade in-memory databases.

Amazon EC2 R9g Specifications (EBS-Only)

Instance Size vCPUs Memory (GiB) Instance Storage Network Bandwidth (Gbps) EBS Bandwidth (Gbps)
r9g.medium 1 8 EBS-Only Up to 15 Up to 12
r9g.large 2 16 EBS-Only Up to 15 Up to 12
r9g.xlarge 4 32 EBS-Only Up to 15 Up to 12
r9g.2xlarge 8 64 EBS-Only Up to 17 Up to 12
r9g.4xlarge 16 128 EBS-Only Up to 17 Up to 12
r9g.8xlarge 32 256 EBS-Only 17 12
r9g.12xlarge 48 384 EBS-Only 25 18
r9g.16xlarge 64 512 EBS-Only 34 24
r9g.24xlarge 96 768 EBS-Only 50 36
r9g.48xlarge 192 1536 EBS-Only 100 72
r9g.metal-48xl 192 1536 EBS-Only 100 72

Amazon EC2 R9gd Specifications (Local NVMe Storage)

Instance Size vCPUs Memory (GiB) Instance Storage (NVMe SSD) Network Bandwidth (Gbps) EBS Bandwidth (Gbps)
r9gd.medium 1 8 1 x 59 GB Up to 15 Up to 12
r9gd.large 2 16 1 x 118 GB Up to 15 Up to 12
r9gd.xlarge 4 32 1 x 237 GB Up to 15 Up to 12
r9gd.2xlarge 8 64 1 x 474 GB Up to 17 Up to 12
r9gd.2xlarge 8 64 1 x 474 GB Up to 17 Up to 12
r9gd.4xlarge 16 128 1 x 950 GB Up to 17 Up to 12
r9gd.8xlarge 32 256 1 x 1900 GB 17 12
r9gd.12xlarge 48 384 3 x 950 GB 25 18
r9gd.16xlarge 64 512 1 x 3800 GB 34 24
r9gd.24xlarge 96 768 3 x 1900 GB 50 36
r9gd.48xlarge 192 1536 3 x 3800 GB 100 72
r9gd.metal-48xl 192 1536 3 x 3800 GB 100 72

Official Perspectives and Architectural Innovations

According to AWS engineering leadership, the release of Graviton5-powered R9g instances represents a fundamental shift in how cloud infrastructure balances raw compute output, energy constraints, and security.

Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 processors are now generally available | Amazon Web Services

Hypervisor Security Through Formal Verification

A cornerstone of the R9g and R9gd deployment is the integration of the Nitro Isolation Engine (NIE). Unlike traditional virtualization layers that rely on extensive testing to discover flaws, the Nitro Isolation Engine employs formal verification—a rigorous mathematical technique used to prove that the system’s hardware and software behave precisely as intended across all possible states, rather than just in simulated test cases.

"The Nitro Isolation Engine establishes the AWS Nitro System as the first formally verified cloud hypervisor," noted Daniel Abib in the official AWS architectural briefing. "By mediating all access to virtual machine memory, CPU register states, and I/O devices through a minimal set of APIs backed by mathematical proofs, we are pioneering a new standard for cloud security isolation."

Hardware-Level Flexibility

The inclusion of Instance Bandwidth Configuration (IBC) directly answers customer requests for more granular control over network and storage resources. Memory-intensive workloads often suffer when data movement bottlenecks occur between the application tier and persistent storage or external networks. IBC empowers engineers to reallocate up to 25% of bandwidth between Amazon EBS and Amazon VPC networking dynamically, optimizing data flow for database-heavy transaction processing or high-throughput caching systems.


Implications for Industry and Enterprise IT

The launch of the R9g and R9gd instances carries profound implications for software architects, enterprise budget planners, and sustainability officers.

1. Superior Price-Performance and Cost Optimization

Organizations migrating from older x86-based memory-optimized instances—or even transitioning from previous-generation R8g hardware—will realize immediate economic benefits. With higher performance per vCPU, faster memory subsystems, larger L3 caches, and improved network throughput, applications can often run on fewer or smaller instances. This reduction in footprint directly translates to lower operational expenditure. Tools like the Graviton Savings Dashboard and automated conversion frameworks like AWS Transform (which assists in migrating Java applications from x86 to Graviton) further reduce the friction of adoption.

2. Streamlined Modernization and Container Compatibility

For organizations operating modern containerized stacks, the R9g series requires virtually zero architectural redesign. Multi-architecture container images built for arm64 run natively and seamlessly across Amazon EKS, Amazon ECS, and standard Kubernetes deployments. Furthermore, native OS support spans a wide array of enterprise Linux distributions, including Amazon Linux 2023, Ubuntu 22.04+, RHEL 8.4+, SLES 15 SP3+, and Debian 12+.

3. Advancing Corporate Sustainability Goals

As data centers face increasing scrutiny regarding their power consumption and carbon footprint, the energy efficiency of the underlying hardware has become a core enterprise metric. Because Graviton5 is engineered to deliver superior performance per watt, companies shifting heavy database and analytical workloads to R9g instances can meaningfully lower their cloud carbon footprint, supporting broader corporate environmental, social, and governance (ESG) initiatives without compromising on throughput or latency.


Getting Started, Pricing, and Availability

Amazon EC2 R9g and R9gd instances are initially rolling out in key global AWS regions, including US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt).

Customers can procure these instances through multiple flexible purchasing models, including Savings Plans, On-Demand, Spot Instances, Dedicated Instances, and Dedicated Hosts. Developers and system administrators can immediately provision R9g and R9gd environments via the Amazon EC2 Console using any supported Arm-based Amazon Machine Image (AMI).

For teams looking to integrate AI-assisted management, AWS supports agent-based toolkits such as the AWS MCP Server and associated plugins, allowing engineers to query API documentation, check regional availability, and troubleshoot deployments directly within their preferred AI-enabled development environments.