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Depot vs Devzero

Devzero provides AI-assisted development environments, whereas Depot specializes in fast builds and CI infrastructure.

Side by side

What it is
Depot:Depot provides remote, fast Docker container builds, CI, caching, registry and sandbox services for scalable software delivery.
Devzero:DevZero optimizes Kubernetes and AI workloads across clouds, reducing over-provisioning and costs.
Best for
Depot:Fast, scalable container builds and CI
Devzero:Cost-aware Kubernetes right-sizing
Who it’s for
Depot:Engineering teams needing high-throughput builds and CI for AI-scale workloads.
Devzero:Engineering teams running Kubernetes clusters on any cloud or on-prem.
Pricing
Depot:Freemium
Devzero:Freemium
Plans
Depot:Developer $20 per month · Startup $200 per month
Devzero:Free $0/month · Pro $5 per CPU / month per month
Works with
Depot:GitHub Actions, GitHub, CI providers, AWS
Devzero:OpenShift
DevHunt upvotes
Depot:22
Devzero:85
Launched on DevHunt
Depot:Mar 2024
Devzero:Apr 2024

Depot features

  • 40x Faster Container Builds. Remote builds on native Intel & Arm hardware with zero-emulation, delivering up to 40× speedup.
  • 10x Faster CI Engine. Programmable CI with unlimited concurrency and per-second billing.
  • Shared Persistent Cache. Fast, shared cache across builds backed by NVMe storage.
  • Depot Registry. High-throughput container registry with private, authenticated access.
  • Agent Sandboxes. Ephemeral, isolated environments for agents and humans with fine-grained RBAC.
  • Security & Governance. SSO/SAML, audit logging, SOC 2 Type II compliance, and role-based access control.
  • Multi-Platform Support. Builds for both Intel and Arm platforms, including macOS and Windows runners.

Devzero features

  • Real-time cost monitoring. Shows CPU, memory, GPU usage and cost attribution per department.
  • Workload right-sizing. Adjusts CPU, memory and GPU requests per pod to match actual demand.
  • Live migration. Instantly moves pods without restarts using checkpoint-restore.
  • Spot & GPU optimization. Selects lowest-cost instances and manages spot and GPU resources.
  • Multi-cloud support. Works with AWS, Azure, GCP, OCI, OpenShift and on-prem Kubernetes.
  • Inference optimization (beta). Measures LLM traffic and routes requests to the cheapest model with caching and failover.

Based on each tool's website and DevHunt data. Details may change; check the official sites.