Brand Intelligence Graph
Company Overview
About Depot
Depot is a remote Docker build cache and layer storage service that dramatically accelerates Docker image builds in CI/CD pipelines — providing a shared, persistent build cache that allows consecutive builds to reuse unchanged layers across different machines and parallel runners, turning 10-minute Docker builds into 2-minute builds. Founded in 2022 and headquartered in the United States, Depot targets engineering teams running Docker-based CI/CD on GitHub Actions, CircleCI, or other cloud CI platforms where each build starts from scratch without access to previous build cache.
Business Model & Competitive Advantage
Depot's shared remote cache stores Docker build layers in cloud infrastructure and makes them available to all CI runners across a team — when a build starts, it checks Depot's cache for previously built layers and only rebuilds what has changed. This is particularly impactful for large monorepos and multi-stage Dockerfiles where base dependency layers (npm install, pip install, Maven dependencies) represent significant build time but rarely change between commits. Depot also provides native ARM build support (building ARM64 images without slow emulation).
Competitive Landscape 2025–2026
In 2025, Depot competes with Docker's own Build Cloud, Buildkite Depot, and engineering teams' self-managed BuildKit caching solutions for CI Docker build optimization. The Docker build performance market has grown as teams running microservices in containers experience significant CI cost and time from slow Docker builds. Depot's managed service eliminates the infrastructure management burden of self-hosted build cache. The 2025 strategy focuses on expanding GitHub Actions integration (native action available in GitHub Marketplace), growing ARM native build adoption as teams adopt Apple Silicon development, and building build analytics that help teams identify slow Dockerfile patterns.
Recent Activity
View all →Depot built an S3-backed Ubuntu mirror and tuned apt and dpkg to cut median package installation time from 19 seconds to 3 seconds. Common setup work now takes less time.
AI agents can generate code faster than traditional CI can validate it. We need to change how we think about CI to keep delivery fast and maintain trust.
Depot Metal's autoscaler grew from a simple pressure loop into a topology-aware system for compute and storage. Next, it must predict demand and converge on desired capacity.
Depot CI now caches the source code for GitHub Actions in Depot Code, reducing repeat downloads from GitHub without requiring any workflow changes.
We built a production-shaped load test to find control-plane limits before moving more GitHub Actions traffic to Depot Metal. Each run made our scaling changes measurable.
Depot CI runs GitHub Actions workflows without GitHub’s control plane, keeping CI online during outages and making workflows portable to new forges like Origin.
Quarterly Report filed 2026-08-27
Taking the Sandbox TTI benchmarks one step further for fun.
Material Event filed 2026-08-20
Launching today in early beta, Origin code hosting features a Depot app to run your existing GitHub Actions workflows on Depot CI for better performance and reliability without GitHub.
Our microVMs launch in under a second, and assembling their block devices in parallel put LVM's roughly 100ms volume group-wide lock directly in the critical path. We kept the kernel's device-mapper, wrote our own control plane and gave up crash safety our ephemeral workloads never needed, making allocation roughly 100x faster.
Agents can investigate, plan, and implement faster than I can, but reading a final diff is not the same as understanding why the system works the way it does. I own how the system behaves in production, so I want to keep building my intuition about it.
Key Differentiators
Emerging Innovator
Depot is an emerging player bringing innovative solutions to the Infrastructure market.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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