Blacksmith vs Depot: CPU Speed vs Docker Build Caching
Blacksmith and Depot both beat GitHub-hosted runners, but they optimize opposite bottlenecks. Your pipeline decides the winner.
Blacksmith is known for high-clock-speed CPU runners; Depot is known for accelerating Docker image builds with a remote build cache. Choosing between them is really about diagnosing your own bottleneck. This is the honest split, plus where a self-healing option comes in. Verify current pricing and specs on each vendor site.
Blacksmith vs Depot at a glance
| Blacksmith | Depot | |
|---|---|---|
| Known for | High-clock-speed CPU runners | Docker build acceleration + remote cache |
| Best workload | Single-threaded build and test | Container-image-heavy pipelines |
| Speeds up | CPU-bound steps | Repeated Docker builds via cache |
| Self-healing flaky jobs | No | No |
Pick Blacksmith if
Your build and test time is CPU-bound and faster per-core hardware is the clearest win. High-frequency CPUs help single-threaded compilation and test suites that do not parallelize well.
Pick Depot if
Your CI is dominated by building container images and remote build caching is the bottleneck. Depot is known for making repeated Docker builds much faster by reusing cached layers across runs.
If the real problem is cost and flakiness
Neither is designed to recover from flaky, transient failures, and both compete mainly on speed. If your pain is a high bill plus re-running red builds, Latchkey adds self-healing on managed runners priced roughly 70% below GitHub-hosted. It is worth benchmarking alongside them rather than instead of the one that matches your bottleneck.
The verdict
CPU-bound work: Blacksmith. Docker-build-bound work: Depot. If cost and flaky re-runs are the deeper issue, evaluate Latchkey self-healing alongside your speed pick. Diagnose your bottleneck first, then verify current pricing.