
Saving another 100TB of RAM with math (and Rust)
We have thousands of servers all over the world with petabytes of RAM and millions of CPU cores, and all of it is pushed to the max. As vast as those resources feel, they are still finite, and when you need every service to run on every node, it doesn’t leave room for wasted space.At this scale, small improvements are greatly magnified, so even 1%-at-a-time improvements are worth celebrating. And some tweaks add up to a lot more: in this post, we’ll look at how small changes to a single algorithm reduced the memory footprint of one of our Pingora-based services significantly.
- ▪We have thousands of servers all over the world with petabytes of RAM and millions of CPU cores, and all of it is pushed to the max.
- ▪As vast as those resources feel, they are still finite, and when you need every service to run on every node, it doesn’t leave room for wasted space.At this scale, small improvements are greatly magnified, so even 1%-at-a-time improvements
- ▪And some tweaks add up to a lot more: in this post, we’ll look at how small changes to a single algorithm reduced the memory footprint of one of our Pingora-based services significantly.
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| Original publisher | Cloudflare Blog |
| Canonical URL | https://blog.cloudflare.com/saving-100-tb-of-ram-with-math/ |
| Publication time | Fri, 18 Sep 2026 18:51:46 +0000 |
| Retrieval time | 2026-09-18T19:33:45.484Z |
| Last seen | 2026-09-18T19:33:45.484Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | NBHvKg8KiLSV · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
BlogDeep DiveEngineeringOpen Source+4Show 4 more tags7 TagsShow 7 tagsPost TagsDeep DiveEngineeringOpen SourceOptimizationPerformancePingoraRustAll tagsMatching tagsNo tags found1.1.1.12FAAbuseAccessAccess Control Lists (ACLs)AccessibilityAccount TakeoverAcquisitionsAddressingAdvanced Certificate ManagerAdvanced DDoSAdvertisingAegisAEOAfricaAfroflareAgent CloudAgent Development LifecycleAgent ReadinessAgentsAgents WeekAgents Week 2026AIAI BotsAI GatewayAI SearchAI WAFAI WeekAI-SPMAlertmanagerAlways OnlineAMDAMPAnalyticsAnonymousAnti MalwareAnycastAPIAPI GatewayAPI SecurityAPI ShieldAPJCAppleApplication SecurityApplication ServicesArea 1 SecurityArgo Smart RoutingASCIIAsiaAthenian ProjectAtlassianAttacksAudit LogsAustinAustraliaAuthenticationAuthyAuto RagAutomatic HTTPSAutomatic Platform…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Cloudflare Blog.