# Graviton AWS Graviton is a family of processors designed for cloud workloads running on Amazon EC2. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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. ## 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. ## 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.