---
title: "Bringing MegaBlocks to Databricks"
url: https://daily.dev/posts/bringing-megablocks-to-databricks-a5qsf3bo6
source_url: https://www.databricks.com/blog/bringing-megablocks-databricks
type: article
source: "databricks"
published: 2024-04-10T00:28:03.171Z
updated: 2026-04-02T02:13:49.998Z
tags: ["databricks", "mixture-of-experts"]
reading_time: 3
upvotes: 0
comments: 0
language: en
---

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# Bringing MegaBlocks to Databricks

**[databricks](https://daily.dev/sources/databricks)** · 3 min read · 0 upvotes · 0 comments

## Summary

Databricks announces the official integration of MegaBlocks, an open-source library used to train DBRX, into their training stack LLMFoundry. MegaBlocks is an efficient implementation of Mixture-of-Experts (MoE) models that improves training and inference efficiency. Databricks also offers optimized training methods for large models, including custom kernels and linear scaling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/bringing-megablocks-databricks>

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---

Tags: [#databricks](https://daily.dev/tags/databricks), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

[View this post on daily.dev](https://daily.dev/posts/bringing-megablocks-to-databricks-a5qsf3bo6)