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Manage Vercel Containers Directly from the CLI

Manage Vercel Containers Directly from the CLI
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Read original on Vercel News

💡See how to push AI service containers to Vercel using standard Docker-compatible workflows.

⚡ 30-Second TL;DR

What Changed

The new `vercel vcr` command group manages Container Registry resources.

Why It Matters

This gives AI teams deploying inference services or containerized workloads a simpler path to integrate image storage with Vercel projects. Existing container workflows can continue using familiar Docker-compatible commands instead of adopting a separate publishing process.

What To Do Next

Update to `vercel@latest`, run the `vercel vcr` authentication flow, and test pushing one inference-service image from Docker or Podman.

Who should care:Developers & AI Engineers

Key Points

  • The new `vercel vcr` command group manages Container Registry resources.
  • Docker, Podman, and Buildah can authenticate with short-lived tokens scoped to a project.
  • Repositories are created automatically on the first push or explicitly with `vercel vcr add`.
  • CLI commands support listing stored content and inspecting individual images and tags.

🧠 Deep Insight

Background and context from public sources — not the original article. 20 sources cited.

🔑 Enhanced Key Takeaways

  • Vercel Container Registry (VCR) is an OCI-compliant image registry that implements the Docker Registry HTTP API v2, allowing developers to interact with it directly using standard OCI tooling like docker push or podman pull without necessarily using the Vercel CLI.
  • Images pushed to VCR are automatically optimized in the background by Vercel, creating precompiled snapshots for faster booting and execution when deployed to Vercel Functions and Vercel Sandboxes, leveraging Vercel's Fluid Compute.
  • Vercel Container Registry was officially introduced on June 30, 2026, marking Vercel's expansion into hosting container images.
  • VCR repositories can be configured as public, granting read-only access to any Vercel account for pulling images, in addition to the existing capability of sharing with up to 100 specific teams.
  • Container images stored in VCR can be deployed as Vercel Functions, inheriting serverless characteristics such as automatic scaling, Active CPU pricing (billing only for active CPU usage), and adherence to function limits regarding size, memory, and execution duration.
📊 Competitor Analysis▸ Show
Feature / ProviderVercel Container Registry (VCR)AWS Elastic Container Registry (ECR)Google Artifact Registry (GAR)GitHub Container Registry (GHCR)Docker Hub
OCI ComplianceYes (Docker Registry HTTP API v2)YesYes (succeeded GCR)YesYes
Primary IntegrationVercel Functions, Vercel Sandbox, Vercel CLIAWS services (ECS, EKS, Lambda)Google Cloud services (Cloud Build, Deploy, GKE)GitHub Actions, GitHub repositoriesWide tool support, public registry
Image OptimizationAutomatic optimization for Fluid Compute (snapshots)No (focus on storage/scanning)No (focus on storage/scanning)No (focus on storage/scanning)No (focus on storage/scanning)
AuthenticationShort-lived project-scoped OIDC tokensAWS IAMGoogle Cloud IAMGitHub permissions (tied to repos/orgs)Docker ID, access tokens
Public/Private ReposBoth (private by default, can be made public)BothBothBoth (free for public)Both (one private free, public widely used)
Vulnerability ScanningNot explicitly mentioned as built-in for VCR, but Vercel has platform security featuresYes, automatedYesNot explicitly mentioned as built-in for GHCR, but GitHub has security featuresNot explicitly mentioned as built-in for Docker Hub, but third-party tools exist
Pricing Model (Storage)10 GB/month included, then $0.10 per GB-month (Beta)$0.10/GB/month$0.10/GB/month (for standard storage)Free for public, 500MB free for private, then $0.25/GBOne private repo free, Team plan $7/user/month for unlimited private repos

🛠️ Technical Deep Dive

  • Vercel Container Registry (VCR) is an OCI-compliant image registry that adheres to the Docker Registry HTTP API v2 standard.
  • It supports OCI image manifests, OCI image indexes, Docker schema 2 image manifests, and Docker manifest lists.
  • Image layers pushed to VCR must use either gzip or zstd compression; uncompressed OCI layers are not supported.
  • For single-platform images, the manifest must explicitly include os and architecture within the image configuration.
  • Upon image push, VCR automatically processes and optimizes the image in the background by creating a precompiled snapshot, which is then served to Vercel Functions and Vercel Sandboxes for faster cold starts and execution on Fluid Compute.
  • Authentication for vercel vcr login utilizes short-lived OpenID Connect (OIDC) tokens, which are valid for 12 hours and can be refreshed by re-executing the login command.
  • The vercel vcr build and vercel vcr push commands do not replace local container tools but rather orchestrate them, meaning Docker, Podman, or Buildah must be installed locally and on the system's PATH.
  • When Docker Buildx is installed, the CLI can build and push images in a single step with zstd compression, which is the recommended format for VCR images. Without Buildx, Docker builds and pushes without zstd compression.
  • Container images deployed via VCR run as Vercel Functions, which means they benefit from automatic scaling and Active CPU pricing, but are subject to function limits on size, memory, and execution duration.
  • As of the current date, Secure Compute and Static IPs are not yet supported for custom container images running on Vercel.

🔮 Future ImplicationsAI analysis grounded in cited sources

Vercel will attract a broader range of backend-heavy applications and full-stack development teams.
By simplifying container image management and deployment directly within its platform, Vercel reduces the friction for developers to host diverse backend services alongside their frontends, expanding its target market beyond traditional frontend-centric applications.
Vercel's unified platform approach will significantly increase developer productivity for full-stack teams.
Consolidating frontend and containerized backend deployments, along with a single CLI and consistent workflows, eliminates the need for managing separate deployment pipelines and vendors, streamlining development and troubleshooting.
Vercel will introduce additional features for containerized workloads, such as durable storage and enhanced secure compute options.
The current limitations of container images running as functions (stateless, no durable storage, and lack of secure compute/static IPs) indicate clear areas for future development to make the platform more competitive for a broader range of backend workloads.

Timeline

2025-03-03
Vercel confirms project-scoped tokens are on the roadmap following community feedback on security.
2026-06-30
Vercel officially introduces Vercel Container Registry (VCR) as an OCI-compliant image registry.
2026-07-06
Vercel announces the ability to deploy any Dockerfile directly to production, running as serverless functions on Fluid Compute.
2026-07-14
Vercel Container Registry Image Storage appears on the Vercel pricing page as a BETA usage SKU.
2026-07-30
Vercel launches project-scoped access tokens, restricting API access to a single project's resources.
2026-08-03
The `vercel vcr` command group is documented as the entry point for managing Vercel Container Registry from the Vercel CLI.
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