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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.
