---
title: "Slack AI: The Path to Multi-Cloud"
url: https://daily.dev/posts/slack-ai-the-path-to-multi-cloud-mcgkrjcli
source_url: https://slack.engineering/slack-ai-the-path-to-multi-cloud
type: article
source: "Slack engineering"
published: 2026-05-28T14:22:56.532Z
updated: 2026-05-28T14:23:30.305Z
tags: ["multi-cloud", "amazon-bedrock"]
reading_time: 17
upvotes: 0
comments: 0
language: en
---

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# Slack AI: The Path to Multi-Cloud

**[Slack engineering](https://daily.dev/sources/slack)** · 17 min read · 0 upvotes · 0 comments

## Summary

Slack's engineering team details their three-year journey scaling LLM infrastructure from AWS SageMaker to a multi-cloud architecture spanning AWS Bedrock and GCP Vertex AI. The post covers four phases: self-managed SageMaker deployments with GPU scarcity challenges, migration to Bedrock for operational simplicity and model access, transitioning to on-demand capacity with hybrid routing and spillover patterns, and finally expanding to multi-cloud with an intelligent routing layer featuring circuit breakers, A/B testing, and API normalization. Key outcomes include ~10% quality improvement for reasoning tasks and ~67% latency reduction for low-token workloads, achieved through provider-agnostic abstraction and cross-functional alignment on security and compliance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://slack.engineering/slack-ai-the-path-to-multi-cloud>

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---

Tags: [#multi-cloud](https://daily.dev/tags/multi-cloud), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock)

[View this post on daily.dev](https://daily.dev/posts/slack-ai-the-path-to-multi-cloud-mcgkrjcli)
