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RamaLama Enterprise provides a curated collection of secure, hardened AI container images designed for production. We deliver minimal-vulnerability, distroless runtimes that are continuously rebuilt and scanned, helping platform and security teams ship AI workloads with confidence.
  • Hardened, distroless images rebuilt regularly to reduce CVEs
  • SBOMs and provenance to support audits and compliance workflows
  • Least-privilege defaults and container isolation patterns
  • Multi-accelerator support across CPU and common GPU stacks
Browse the catalog: https://registry.ramalama.com/projects/ramalama documentation helps developers understand how to integrate with your service.

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How Teams Use It

  • Standardize model serving stacks across environments (dev → prod)
  • Satisfy vulnerability and provenance requirements with SBOMs and rebuild cadence
  • Run with least privilege and network isolation by default
See Deploying → Compose and Kubernetes for example manifests.

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Security Posture

  • Distroless base with reduced attack surface
  • Regular rebuilds to pick up upstream security fixes
  • Drop Linux capabilities and enforce no-new-privileges
  • Read-only filesystems and network-off defaults in reference configurations
Learn more in Education → CVE and SBOM.

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RamaLama OSS

We help steward an affiliated open-source project focused on a local-first developer toolkit for running AI as containers. You can find more information getting started with RamaLama OSS here