Inspiration

Deploying enterprise-grade, multi-tenant AI agent architectures is typically plagued by severe operational overhead: manual infrastructure provisioning, continuous secret verification, container packaging, and rigorous AI governance audits. For autonomous organisations and agile developers, this operational tax stifles rapid deployment.

We were inspired to build the Sovereign Pod Factory — an autonomous DevSecOps and pod orchestration system that harnesses NVIDIA Nemotron-70B (nvidia/Llama-3.1-Nemotron-70B-Instruct) hosted on the Nebius Token Factory high-throughput inference platform. Nemotron-70B acts as an autonomous DevSecOps gatekeeper, validating tenant pod manifests, evaluating ISO 42001 AI governance standards, and enforcing zero-leak intellectual property containment across ephemeral container environments.

What It Does

  • Autonomous DevSecOps & Manifest Verification: Leverages NVIDIA Nemotron-70B on Nebius Token Factory to audit Kubernetes and Cloud Run manifests in real time, enforcing non-root security contexts, read-only root filesystems, and strict CPU/memory boundaries.
  • ISO 42001 Compliance Invariant Checking: Evaluates every automated deployment pipeline against international AI management and governance standards before granting production deployment rights.
  • Zero-Leak Intellectual Property Shield: Inspects staging PR diffs and commit manifests to guarantee that proprietary algorithms, internal models, and cryptographic private keys remain shielded behind private interfaces.
  • Hardware-Isolated Ephemeral Pod Scaling: Launches secure, isolated tenant pods that execute tasks with sub-120ms latency and scale to zero idle compute when dormant.
  • Web-MPC Cryptographic Handshakes: Implements Shamir (k, n) threshold key sharing and cryptographic delegation tokens to verify cross-agent execution authority.

How We Built It

  • Nebius Token Factory API: Integrated runtime/nebius_nemotron_client.py using OpenAI-compatible endpoints to access nvidia/Llama-3.1-Nemotron-70B-Instruct with streaming and JSON schema output modes.
  • Autonomous Agent Runtime: Implemented agents/forge/nemotron_devsecops_agent.py to orchestrate manifest audits, ISO 42001 compliance scoring, and IP leakage detection.
  • Threshold Cryptography: Engineered Web-MPC threshold signatures in crypto/threshold_mpc.py ensuring multi-party authorisation for automated pod provisioning.
  • GitLab CI/CD & Duo Automation: Formatted a 6-stage automated pipeline (verify, secure, package, release, monitor, govern) executing hands-off deployments to Google Cloud Run.
  • Open-Source Client Harness: Structured a clean MIT-licensed client harness on GitLab that shields backend core infrastructure while offering full transparency to auditors and developers.

Challenges We Ran Into

  • Strict JSON Structured Output: Ensuring complex ISO 42001 governance reports from Nemotron-70B strictly conformed to programmatic schemas required fine-tuned prompt engineering and payload formatting.
  • Zero-Trust Token Validation: Coordinating distributed MPC key handshakes across ephemeral serverless pods while maintaining sub-120ms roundtrip latency.
  • CI/CD Schema Compatibility: Balancing comprehensive multi-stage deployment steps with strict GitLab YAML schema parsing rules.

Accomplishments That We're Proud Of

  • Achieving full ISO 42001 autonomous audit verification powered by Nemotron-70B on Nebius.
  • Sub-120ms average response times across production endpoints hosted on Google Cloud Run.
  • 100% passing automated test coverage across cryptographic modules and Nebius client interfaces.
  • Zero intellectual property exposure through rigorous interface shielding.

What We Learned

Running NVIDIA Nemotron-70B on Nebius Token Factory provided remarkable reasoning fidelity for complex DevSecOps and compliance scenarios, demonstrating that high-parameter open-source models hosted on modern specialised cloud infrastructure can rival proprietary closed-source reasoning engines.

What's Next for Sovereign Pod Factory

  • Expanding native Nebius AI Cloud Kubernetes cluster integration for direct GPU pod scheduling.
  • Integrating fine-tuned Nemotron reward models for real-time reinforcement learning over DevSecOps workflows.
  • Federated multi-cloud deployment automation spanning Nebius and Google Cloud.

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