Infrastructure for those who build defense technology

GPU for training models, storage for terabytes of telemetry, Kubernetes for production — in Ukrainian jurisdiction, with a backup in the EU and no queues to buy hardware. Your R&D scales at the speed of development, not a tender.

What people build on our infrastructure

Typical miltech-team workloads — from training models to production.

  • Computer Vision and autonomy

    Training recognition models on GPU — A100 and H100 by the hour, multi-GPU for large datasets, inference on L40S. Datasets are stored in S3 storage next to the GPUs.

  • Telemetry and big data processing

    Terabytes of logs and sensor data: ClickHouse for analytics, Object Storage for raw data at $0.0013/GB/mo, RabbitMQ for stream processing. All components — from the Marketplace within an hour.

  • Situational awareness and geodata

    Mapping services, satellite-image processing, GIS stacks — computation next to the data, minimal latency to Ukrainian users.

  • Production services

    Kubernetes with autoscaling (the service is free — you pay only for nodes), free load balancers, protected perimeters via VPC and Firewall. From MVP to loaded production.

Why OneCloudPlanet for defense tech

Speed, jurisdiction and isolation — with no queues to buy hardware.

  • Speed instead of procurement

    A GPU cluster today by the hour — versus months of hardware-purchase procedures. An experiment costs hours of work, not a quarter's budget.

  • Ukrainian jurisdiction

    Data and its processing — physically in Ukraine, in a company resident in Ukraine. For projects with foreign-partner requirements — locations in Poland and the Netherlands.

  • Continuity

    A data center with backup power + a backup site in the EU: a copy of data from $0.13/mo per 100 GB, a warm replica — with failover in minutes.

  • Isolation to your level of requirements

    From private networks (VPC) and a free Firewall — to Private Cloud on physically dedicated infrastructure and dedicated servers with no neighbours.

  • NDA by default

    We sign a non-disclosure agreement before discussing project details. We don't publish this segment's client cases — neither in marketing nor in references.

  • Hourly R&D economics

    Training overnight, a bench for a week of tests, a demo for the customer for a day — you pay for the actual hours the resources run.

About certification and classification

For systems that require KSZI certification or process restricted-access information, our infrastructure is not currently certified. This page concerns the R&D and production infrastructure of private companies.

Typical architectures

Both stacks are assembled from ready Solution Marketplace images within an hour.

  • ML pipeline (Computer Vision)

    Field data → Object Storage (raw datasets, $0.0013/GB) → labeling → GPU instances A100/H100 (training, by the hour, multi-GPU) → checkpoints in S3 → inference on L40S / Kubernetes.

  • Telemetry and analytics

    Devices and collectors → RabbitMQ → ClickHouse (analytics) → Grafana / Metabase (dashboards); in parallel — Object Storage for a raw-data archive.

The ClickHouse, RabbitMQ, Grafana and Metabase components are ready Marketplace images, deployed in one click.

Security

Isolation, encryption and controlled access — across the whole platform.

  1. ISO/IEC 27001 certification — the international standard for information security management.

  2. Isolated private networks (VPC) and a free Firewall; access to environments — via a WireGuard tunnel (image in the Marketplace).

  3. Encryption of instance disks.

  4. Snapshots and backups on your schedule; a geo-copy in the EU.

  5. Protection against DDoS attacks at the network level.

  6. Regulated staff access to client environments — restricted, logged and granted only on a client ticket.

Tell us what you're building — under NDA

A technical consultation with an engineer, not a sales manager: architecture, budget, scaling plan.

Latest publications

Everything you need to create a stable, secure and scalable environment