{"rewrite":{"id":"r_f87f388ed2dfaccf3eb069fa","clusterId":"c_cc5c9458f517d6daf0d4e35a","slug":"gree-adopts-amd-epyc-c4d-instances-on-google-cloud-for-25-cost-performance-gain","model":"deepseek-v4-1-flash","headline":"GREE Adopts AMD EPYC C4D Instances on Google Cloud for 25% Cost Performance Gain","summary":"AMD published a case study of GREE's use of AMD EPYC processors in its smartphone game operations. GREE adopted C4D instances with 5th Gen AMD EPYC on Google Cloud and measured more than 25% higher cost performance than its previous environment for the target workloads, a figure GREE evaluated. The company skipped a dedicated verification project and folded the evaluation into its existing game development workflow, covering development, load testing, and QA.","whyItMatters":"GREE's numbers give AMD and Google Cloud a named game-server reference for the C4D instance type, and the rollout shows the verification process, not the silicon, is the part that normally blocks a CPU migration.","webCardHtml":"\u003cp\u003eGREE\u0026#39;s game servers run on a container-based architecture, with instances using 16 or more cores per title across hundreds of instances, and the titles carry daily active users in the hundreds of thousands. Introducing a new CPU or instance type normally means a large amount of verification work. GREE did not start a dedicated project. It built an environment where game servers run on multiple instance types, so developers could work without tracking CPU differences, then compared latency and CPU usage under load that reproduced actual user access. Production mixes multiple instance types and Spot instances. The company said the result is a denser infrastructure running many container workloads on fewer servers.\u003c/p\u003e","blueskyPost":"GREE skipped a dedicated verification project and folded its C4D evaluation into existing game development, load testing, and QA workflows. That puts the 25% figure inside production workflow, not a lab.","twitterPost":"GREE folded its C4D evaluation into existing game development, load testing, and QA instead of running a dedicated verification project.","threadsPost":"GREE did not run a dedicated verification project for its C4D instances on Google Cloud. It folded the evaluation into existing game development, load testing, and QA, which means the 25% cost-performance result comes from production workflows rather than an isolated benchmark.","newsletterBlurb":"AMD published a case study of GREE's adoption of AMD EPYC processors on Google Cloud. GREE measured more than 25% higher cost performance on the target workloads with C4D instances, a figure it evaluated itself. The company ran the evaluation inside its existing development process instead of a dedicated project, and now mixes multiple instance types and Spot instances in production.","attributionJson":"[{\"source\":\"ASCII.jp\",\"url\":\"https://ascii.jp/elem/000/004/436/4436512/?rss\",\"title\":\"GREE Adopts Google Cloud C4D Instances Powered by AMD EPYC, Achieving Over 25% Better Cost Performance Using Existing Development Workflow\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":5726,"outputTokens":843,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1789869803,"createdAt":"2026-09-20T01:53:58.000Z","publishedAt":"2026-09-20T01:58:21.000Z","updatedAt":"2026-09-20T01:58:21.000Z"},"cluster":{"id":"c_cc5c9458f517d6daf0d4e35a","canonicalTitle":"グリー、Google Cloudの「AMD EPYC」搭載C4Dインスタンスを導入 既存開発フローを活用しコスパ25％以上向上","representativeArticleId":"a_a0835fb9e5092f0844e251ec","sourceCount":1,"writtenSourceCount":1,"writeAttempts":0,"isSolo":true,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[],\"studios\":[\"GREE\"],\"people\":[],\"type\":\"business\",\"domain\":\"industry\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-09-20T01:00:00.000Z","lastSeenAt":"2026-09-20T01:00:00.000Z","updatedAt":"2026-09-20T01:58:20.000Z"},"attribution":[{"source":"ASCII.jp","url":"https://ascii.jp/elem/000/004/436/4436512/?rss","title":"グリー、Google Cloudの「AMD EPYC」搭載C4Dインスタンスを導入 既存開発フローを活用しコスパ25％以上向上"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":[],"studios":["GREE"],"people":[],"type":"business","domain":"industry","is_roundup":false},"keyFacts":null}