# Improving Lakebase Postgres Compute Cache on Neon, Part 1

DevFeed: [Improving Lakebase Postgres Compute Cache on Neon, Part 1](<https://devfeed.tech/articles/improving-lakebase-postgres-compute-cache-on-neon-part-1-5441.md>)

Original publisher: [Read original article](<https://neon.com/blog/improving-lakebase-compute-cache-part-1>)

Author: Sunil Kamath

Published: 2026-09-09T12:00:00Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Caching](<https://devfeed.tech/topics/caching.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Operating system](<https://devfeed.tech/topics/operating-system.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [cache](<https://devfeed.tech/tags/cache.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [latency](<https://devfeed.tech/tags/latency.md>), [memory](<https://devfeed.tech/tags/memory.md>), [os](<https://devfeed.tech/tags/os.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [s3](<https://devfeed.tech/tags/s3.md>), [storage](<https://devfeed.tech/tags/storage.md>)

## AI overview

Neon describes a Lakebase Postgres compute-cache change that allocates most memory to shared buffers backed by huge pages. The goal is to keep hot pages in DRAM, reducing storage reads, CPU use, and latency; the article reports up to roughly 2x throughput on specified fixed-size computes.

## Source excerpt

On large fixed-size Lakebase Postgres computes on Neon, we now put most of the machine's memory into Postgres shared buffers and back that cache with huge pages. Hot pages stay in DRAM instead of falling through to a local disk cache, so the same working set is served faster and with less CPU.