# Graviton Published articles for Graviton. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 processors are now generally available DevFeed: [Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 processors are now generally available]() Original publisher: [Read original article]() Author: Daniel Abib Published: 2026-08-31T19:53:34Z Content type: release Language: en Sources: [AWS News Blog]() Topics: [Amazon EC2](), [cpu](), [networking]() Tags: [amazon-ec2](), [announcements](), [aws](), [big-data](), [cache](), [compute](), [databases](), [graviton](), [hardware](), [launch](), [memory](), [networking](), [news](), [nitro-isolation-engine](), [nitro-system](), [performance](), [storage]() ### AI overview Amazon EC2 R9g and R9gd memory-optimized instances powered by AWS Graviton5 processors are generally available. The release highlights higher compute performance, faster memory, larger cache, increased network and EBS bandwidth, and local NVMe SSD storage for R9gd. ### Source excerpt Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 are now generally available, delivering up to 25% better compute performance than R8g, ideal for databases, in-memory caches, and real-time analytics. ## Happy 20th Birthday, Amazon EC2 DevFeed: [Happy 20th Birthday, Amazon EC2]() Original publisher: [Read original article]() Author: Channy Yun (윤석찬) Published: 2026-08-25T16:11:02Z Content type: article Language: en Sources: [AWS News Blog]() Topics: [Amazon EC2](), [Inference Performance]() Tags: [ai-inference](), [amazon-cloudwatch](), [amazon-ec2](), [amazon-ec2-mac-instances](), [apple](), [aws](), [aws-inferentia](), [aws-local-zones](), [aws-outposts](), [aws-trainium](), [cloud](), [cloud-computing](), [general](), [generative-ai](), [graviton](), [infrastructure](), [intel](), [linux](), [news](), [nitro-system](), [performance]() ### AI overview AWS marks Amazon EC2's 20th anniversary by reviewing its evolution from a single Linux virtual-server instance to a global service with more than 1,200 instance types. The article highlights foundational services, expanded deployment options, and AWS-designed silicon for AI inference and training. ### Source excerpt On the 20th Anniversary, we recognize how AWS has continued to push the boundaries of what cloud computing can deliver, building custom silicon for general-purpose and AI workloads and expanding EC2 into new form factors and deployment models that our customers in 2006 could not have imagined. ## Benchmarking memory-level parallelism across AMD, Intel, and Graviton processors DevFeed: [Benchmarking memory-level parallelism across AMD, Intel, and Graviton processors]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-07-25T15:07:52Z Content type: article Language: en Sources: [Daniel Lemire]() Topics: [cpu](), [Latency](), [Cache](), [Benchmark](), [Intel Core](), [Graviton]() Tags: [benchmark](), [core](), [cycles](), [graviton](), [intel](), [intel-core](), [latency](), [memory](), [performance]() ### AI overview This article explains memory-level parallelism, the number of memory requests a processor core can keep in flight, and measures it with a pointer-chasing benchmark. Experiments on AWS compare how this capability evolved across Intel, AMD, and Graviton processors; the supplied evidence reports AMD reaching 58 concurrent cache lines on Turin. ### Source excerpt When your program asks for memory that is not in cache, the processor has to go to RAM. That trip costs on the order of 100 nanoseconds. On a 3 GHz core, that is about 300 cycles of doing nothing. Memory latency has not improved in ten years. The 2016 Broadwell answers a random access ... Continue reading Memory-level parallelism: AMD is the king ## Graviton5's improved design increases speed and energy efficiency -- beyond Moore's law DevFeed: [Graviton5's improved design increases speed and energy efficiency -- beyond Moore's law]() Original publisher: [Read original article]() Author: Ali Saidi Published: 2026-06-10T15:00:00Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [cpu](), [Amazon EC2]() Tags: [amazon-elastic-compute](), [architecture](), [cache](), [chip-design](), [cloud-and-systems](), [cpu](), [design](), [energy-efficiency](), [formal-verification](), [graviton](), [hardware](), [memory](), [performance](), [speed]() ### AI overview Amazon describes Graviton5 CPU and M9g/M9gd EC2 instances, highlighting more cores, faster memory and interconnects, improved branch prediction, and expanded cache capacity. ### Source excerpt A new chiplet architecture, custom die-to-die connectivity, and support for DDR5-8800 memory and the latest PCIe gen6 interconnects improve performance by 25% for general-purpose and agentic AI workloads. ## Wix Migrated Its MySQL EC2 Fleet from Intel CPUs to Graviton DevFeed: [Wix Migrated Its MySQL EC2 Fleet from Intel CPUs to Graviton]() Original publisher: [Read original article]() Author: Wix Engineering Published: 2026-03-23T11:27:39Z Content type: article Language: en Sources: [Wix Engineering]() Topics: [Graviton](), [MySQL](), [Ansible](), [awx](), [Amazon EC2](), [intel](), [Databases](), [DevOps](), [Replication](), [Server](), [Linux]() Tags: [amazon](), [ansible](), [awx](), [devops](), [ec2](), [graviton](), [infra](), [intel](), [linux](), [mysql](), [rdbms](), [replication]() ### AI overview Wix's DB Infra team migrated more than 1,000 MySQL EC2 servers across over 160 clusters from Intel-based CPUs to Graviton in one month, ahead of the original three-month timeline. The project also enabled a move to Amazon Linux 2023 and away from CentOS 7.0, using AWX workflows and Wix's Dev Portal to automate the process while accounting for replication and cluster reliability concerns. ### Source excerpt Last January, the DB Infra team at Wix embarked on a strategic and very important mission: Migrating all of our MySQL EC2 servers from Intel based CPUs to the new shiny Graviton ones. Not only will this allow us to work on better CPUs, saving us money and improving our databases, we'll be able to move to Amazon Linux 2023 OS and move from the EOL CentOS 7.0. That sounds simple enough, until you realize that we're dealing with over 1K servers spread over 160+ MySQL clusters. The initial... ## Extending single-minus amplitudes to gravitons DevFeed: [Extending single-minus amplitudes to gravitons]() Original publisher: [Read original article]() Published: 2026-03-04T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Graviton](), [OpenAI]() Tags: [gpt](), [graviton](), [openai](), [quantum](), [research]() ### AI overview OpenAI presents a preprint on single-minus graviton tree amplitudes, showing that interactions previously expected to vanish can be nonzero in the half-collinear regime. GPT-5.2 Pro helped researchers derive and verify the result. ### Source excerpt A new preprint extends single-minus amplitudes to gravitons, with GPT-5.2 Pro helping derive and verify nonzero graviton tree amplitudes in quantum gravity. ## Murat and Aleksey Read Papers: "Cloudspecs: Cloud Hardware Evolution Through the Looking Glass" DevFeed: [Murat and Aleksey Read Papers: "Cloudspecs: Cloud Hardware Evolution Through the Looking Glass"]() Original publisher: [Read original article]() Author: Aleksey Charapko Published: 2026-01-14T15:41:13Z Content type: opinion Language: en Sources: [Aleksey Charapko]() Topics: [Cloud](), [Amazon Web Services](), [Hardware](), [Benchmark](), [dataset]() Tags: [analysis](), [architectures](), [aws](), [benchmark](), [cloud](), [compute](), [cost](), [cpu](), [dataset](), [efficiency](), [graviton](), [hardware](), [network](), [other-thoughts](), [paper](), [papers](), [reading](), [summary]() ### AI overview This article reviews the CIDR paper "Cloudspecs: Cloud Hardware Evolution Through the Looking Glass," which examines AWS virtual hardware capabilities over ten years from a cost-efficiency perspective. The paper finds that cloud CPU cost efficiency improved about twofold, while core counts improved tenfold for non-Graviton offerings; network bandwidth cost efficiency improved substantially more. The article also notes limitations in the paper's analysis of memory bandwidth and specialized hardware features. ### Source excerpt The "Cloudspecs: Cloud Hardware Evolution Through the Looking Glass" CIDR paper by Till Steinert, Maximilian Kuschewski, and Viktor Leis was the first paper I and Murat read this year. It was a short, but interesting read. Below is our reading video and my one-paragraph summary. The paper discusses the evolution of AWS cloud (virtual) hardware [...] ## How ClickHouse Cloud uses AWS Graviton to boost performance and efficiency DevFeed: [How ClickHouse Cloud uses AWS Graviton to boost performance and efficiency]() Original publisher: [Read original article]() Author: Kaushik Iska & Francesco Ciocchetti Published: 2025-01-27T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [migration](), [ci]() Tags: [android](), [apple](), [architecture](), [aws](), [benchmarks](), [ci](), [clickhouse](), [cloud](), [cost](), [data](), [database](), [deep-dive](), [developer](), [developer-experience](), [energy](), [energy-efficiency](), [graviton](), [migration](), [open-source](), [performance]() ### AI overview ClickHouse describes migrating ClickHouse Cloud to AWS Graviton ARM processors, covering its AArch64 support, CI and performance work, and the resulting performance, cost, and energy-efficiency goals. ### Source excerpt We describe our migration from traditional processors to AWS Graviton ARM architecture, detailing the technical challenges and performance gains achieved in optimizing ClickHouse's open-source OLAP database system. ## Building Multiarch Images with Chainguard Images DevFeed: [Building Multiarch Images with Chainguard Images]() Original publisher: [Read original article]() Published: 2024-12-03T00:00:00Z Content type: tutorial Language: en Sources: [Chainguard: Unchained]() Topics: [Docker](), [chainguard images](), [Dockerfile](), [Containers](), [Go Language](), [Graviton](), [GitHub Actions](), [Open Source](), [RISC-V]() Tags: [architecture](), [arm](), [chainguard](), [chainguard-images](), [ci-cd](), [cloud](), [compilation](), [container-image](), [container-images](), [containers](), [cross-compilation](), [docker](), [github](), [github-actions](), [graviton](), [multi-arch](), [multiplatform](), [open-source](), [qemu](), [risc-v](), [single-arch](), [x86-64]() ### AI overview A tutorial on converting single-architecture Docker builds into multi-architecture images using Chainguard Images. It compares QEMU emulation, cross-compilation, and native runners for ARM64 and x86-64 builds, with examples using a Go application and GitHub Actions. ### Source excerpt Looking to turn a single-arch Docker build into a multi-arch? See how you can do that while still using Chainguard Images. ## Vapor: Arm Architecture Support DevFeed: [Vapor: Arm Architecture Support]() Original publisher: [Read original article]() Author: Joe Dixon Published: 2023-04-17T14:22:00Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Vapor](), [Arm](), [Amazon Web Services](), [Graviton](), [Deployment](), [PHP](), [Serverless](), [Command-line interface](), [Docker]() Tags: [architecture](), [arm](), [aws](), [cli](), [cost](), [deployment](), [docker](), [graviton](), [performance](), [php](), [serverless](), [x86]() ### AI overview Laravel Vapor adds Arm-powered runtimes using AWS Graviton 2 processors. The article reports up to 20% better performance and a 20% cost reduction, and explains that both native and Docker runtimes support Arm for applications running PHP 8.2 or later. ### Source excerpt Today we're super pumped to announce Arm powered runtimes on Vapor. Powered by AWS Graviton 2 processors, applications will see up to 20% better performance at a 20% cost reduction. ## Trino at Quora: Speed, cost, reliability challenges, and tips DevFeed: [Trino at Quora: Speed, cost, reliability challenges, and tips]() Original publisher: [Read original article]() Author: Yifan Pan, Cole Bowden Published: 2022-12-16T00:00:00Z Content type: article Language: en Sources: [Trino Blog]() Topics: [Graviton](), [Amazon EC2](), [Amazon S3](), [Amazon Web Services](), [Availability](), [cpu](), [A/B Testing](), [Time Series](), [data]() Tags: [a-b-testing](), [availability](), [aws](), [cost](), [cpu](), [graviton](), [performance](), [resources](), [s3](), [speed](), [time-series](), [tips-and-tricks]() ### AI overview A recap of how Quora operates Trino for ad-hoc analysis, ETL, backfill jobs, A/B testing, and time-series queries over an S3 data lake. It describes cost-saving measures including AWS Graviton instances, auto-scaling, and more efficient partitioned queries, along with reliability and performance work such as accommodating lower Graviton availability and restarting long-running worker nodes. ### Source excerpt As we near the end of the Trino Summit 2022 recap series, it's time to take a stop at Quora. At Quora, being an engineer responsible for maintaining Trino comes with its fair share of challenges. With concerns about cost, performance, and reliability, Quora has taken several creative steps to ensure that they get the most out of Trino. Other Trino users may be able to learn a few neat tips and tricks to do the same by tuning in. ## Supabase is now on Postgres 13.3 DevFeed: [Supabase is now on Postgres 13.3]() Original publisher: [Read original article]() Author: Angelico de los Reyes Published: 2021-07-26T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [PostgreSQL](), [Supabase](), [Ubuntu](), [Arm](), [Graviton](), [Amazon Web Services](), [Benchmark](), [JSON](), [Routing (disambiguation)]() Tags: [arm](), [aws](), [benchmark](), [graviton](), [json](), [postgresql](), [routing](), [ubuntu]() ### AI overview Supabase announces that new projects will use Supabase Postgres based on PostgreSQL 13.3. The update adds PostgreSQL 13 features and performance improvements, aligns Supabase versioning with PostgreSQL releases, enables Large System Extensions on ARM instances, upgrades new projects to Ubuntu 20.04, builds PostgreSQL from source, and introduces new extensions. ### Source excerpt From today, new Supabase projects will be on a version of Supabase Postgres that runs on Postgres 13.3. ## Supabase Beta December 2020 DevFeed: [Supabase Beta December 2020]() Original publisher: [Read original article]() Author: Paul Copplestone Published: 2021-01-02T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [Database](), [PostgreSQL](), [OpenAPI Specification](), [Graviton](), [Vue.js]() Tags: [core](), [github](), [graviton](), [openapi](), [performance](), [postgresql](), [security](), [stripe](), [vercel](), [vue]() ### AI overview Supabase announces its beta release after ten months of development. The update highlights improvements to performance, security, reliability, documentation, realtime table updates, pagination, PostgreSQL support, database types, regional availability, and local-development plans. It also reports a $6 million seed round and previews Supabase Storage, a CLI, and planned work with Vercel and Stripe. ### Source excerpt Ten months of building. ## Presto Experiment with Graviton Processor DevFeed: [Presto Experiment with Graviton Processor]() Original publisher: [Read original article]() Author: Kai Sasaki, Arm Treasure Data Published: 2019-12-23T00:00:00Z Content type: article Language: en Sources: [Trino Blog]() Topics: [Graviton](), [Amazon Web Services](), [Java](), [cross-platform](), [benchmarking](), [Docker]() Tags: [architecture](), [architectures](), [arm](), [aws](), [cost](), [cross-platform](), [docker](), [experiment](), [graviton](), [performance](), [processor]() ### AI overview This article reports an experiment running Presto, a Java application, on Arm-based AWS Graviton processors. It describes the platform restriction that must be patched, the limitation involving the Hive connector's unavailable native code, and the use of Docker buildx for cross-platform images. The supplied text does not include the experiment's final performance results. ### Source excerpt This December, AWS announced new instance types powered by Arm-based AWS Graviton2 Processor. M6g, C6g, and R6g are designed to deliver up to 40% improved price/performance compared with the current generation instance types. We can achieve cost-effectiveness by using these instance type series. Presto is just a Java application, so that we should be able to run the workload with this type of cost-effective instance type without any modification. But is it true? Initially, we do not have a clear answer to how much effort we need to bring Presto into the world of the different processors. No care about the underlying platform is generally beneficial for development. But if using different processors enables us to accelerate the performance and stability of Presto, we must care about it. We must prove anything unclear by the experiment. This article is the report to clarify what we need to do to run Presto on the Arm-based platform and see how much benefit we can potentially obtain with Graviton Processor. As the Graviton 2 based instance types are preview state, we tried to run Presto on A1 instance that has the first generation of Graviton processor inside. It still would be a helpful anchor to understand the potential benefit of the Graviton 2 processor.