MLflow

Russian Firms Launch Integrated Hardware-Software Platform for Enterprise AI Deployment

Laboratory Chislitel and Informzashchita have unveiled a new software-hardware complex designed to move large organizations from AI pilot projects to full industrial-scale model operations. The solution, presented at the TNF-2026 forum, combines a high-performance ML cluster with the Russian containerization platform Shturval. It automates resource allocation, environment provisioning, storage attachment, training execution, and workload scaling using Kubernetes together with MLOps tools such as Kubeflow and MLflow. The architecture is organized into four layers covering hardware infrastructure, the Shturval platform, an MLOps stack, and applied AI services, while surrounding components provide IAM/SSO, object storage, image registry, CI/CD, monitoring, and auditing. The platform has already completed industrial deployment at a major state customer, delivering unified compute pools, project isolation, centralized access control, and complete model lifecycle management.

Building Secure MLOps Platforms in Air-Gapped Environments for DevOps Engineers

The article explains how DevOps engineers can construct a minimal yet complete MLOps platform inside a closed, air-gapped network without relying on any cloud services. It highlights the cultural gap between data scientists and DevOps teams and shows how MLOps practices such as data versioning, experiment tracking, and model registries bridge that gap. The architecture separates GPU training nodes from a Kubernetes serving cluster and uses open-source components including ArgoCD for GitOps, MLflow with PostgreSQL, MinIO, DVC, OpenBao, and External Secrets Operator. Special attention is given to secrets management with SOPS and age keys, image scanning with Trivy and Bandit, and secure Docker access via socket proxy on the training server. The setup avoids Kubeflow and HashiCorp Vault due to complexity and licensing concerns, favoring lighter, license-friendly alternatives suitable for isolated perimeters.