# Expanded Memory and Compute with Heroku's New Larger Dynos

DevFeed: [Expanded Memory and Compute with Heroku's New Larger Dynos](<https://devfeed.tech/articles/expanded-memory-and-compute-with-heroku-s-new-larger-dynos-26437.md>)

Original publisher: [Read original article](<https://www.heroku.com/blog/heroku-larger-dyno-types/>)

Author: Ethan Limchayseng

Published: 2024-03-28T02:25:00Z

Content type: release

Language: en

Sources: [Heroku](<https://devfeed.tech/sources/heroku.md>)

Topics: [Heroku](<https://devfeed.tech/topics/heroku.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [big-data](<https://devfeed.tech/topics/big-data.md>), [Data analysis](<https://devfeed.tech/topics/data-analysis.md>)

Tags: [big-data](<https://devfeed.tech/tags/big-data.md>), [cache](<https://devfeed.tech/tags/cache.md>), [cli](<https://devfeed.tech/tags/cli.md>), [cloud-infrastructure](<https://devfeed.tech/tags/cloud-infrastructure.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data](<https://devfeed.tech/tags/data.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [dynos](<https://devfeed.tech/tags/dynos.md>), [hadoop](<https://devfeed.tech/tags/hadoop.md>), [heroku](<https://devfeed.tech/tags/heroku.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [memory](<https://devfeed.tech/tags/memory.md>), [news](<https://devfeed.tech/tags/news.md>), [performance-optimization](<https://devfeed.tech/tags/performance-optimization.md>), [pricing](<https://devfeed.tech/tags/pricing.md>), [private-spaces](<https://devfeed.tech/tags/private-spaces.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [spark](<https://devfeed.tech/tags/spark.md>), [video](<https://devfeed.tech/tags/video.md>)

## AI overview

Heroku introduces nine larger dyno types across its Performance, Private, and Shield tiers, adding higher memory and CPU limits for compute-intensive workloads. The new sizes support use cases including real-time analytics, caching, machine learning, video encoding, and simulations.

## Source excerpt

Introduction Heroku is excited to introduce nine new dyno types to our fleets and product offerings. In 2014, we introduced Performance-tier dynos, giving our customers fully dedicated resources to run their most compute-intensive workloads. Now in 2024, today's standards are rapidly increasing as complex applications and growing data volumes consume more memory and carry heavier [...] The post Expanded Memory and Compute with Heroku's New Larger Dynos appeared first on Heroku.