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Platform overview

Platform operations

Own the entire operating lifecycle.

Keep a private AI deployment maintainable after launch. Manage health, capacity, updates, recovery, licensing and support from the same administration environment.

Explore this part of the platform
01

See what is running

Start with Command Center health and activity, then drill into services, GPU nodes and resource history. Review versions, environment references and relevant recovery guidance.

02

Maintain without guesswork

Verify signed update bundles before applying them, including offline USB delivery. Configure backup scopes and destinations, inspect integrity checks and review a restore plan before confirmation.

03

Keep ownership with the administrator

Manage hardware-bound licence entitlements and portal branding. Remote support is an explicit, time-limited administrator action with a recorded reason, diagnostic scrubbing and an audit trail.

Explore this part of the platform

Kaldryn Platform · Platform operations

Interactive software preview · illustrative data

Command Center

An operational overview of your AI estate.

Illustrative data · safe to explore

Requests

1,284

GPU nodes

3

Ready services

12/12

System activity

Portal
Inference
Workers

GPU node health

Preview only · no changes to your systems

What this module includes

  • System health
  • Usage and token activity
  • Notifications and onboarding
  • GPU node health
  • Daily estimated cloud spend avoided
  • Router tier distribution
  • Training pipeline status

Based on the Kaldryn Platform admin console. Available features depend on license tier, role, hardware and configuration.

Operational actions in the previews are simulations. No update, restore, user change or support connection is performed by this website.

Inside these modules

Command CenterAn operational overview of your AI estate.Explore capabilities
  • System health
  • Usage and token activity
  • Notifications and onboarding
  • GPU node health
  • Daily estimated cloud spend avoided
  • Router tier distribution
  • Training pipeline status
GPU ClusterOperate compute capacity across your own nodes.Explore capabilities
  • Node registration and health
  • Model placement
  • GPU resource visibility
  • One-time node enrollment tokens
  • Secure Node Link with mTLS
  • GPU count and tensor-parallel sizing
  • Ping, optimise and detach nodes
HardwareSee the resources your AI workloads depend on.Explore capabilities
  • CPU, memory and storage
  • GPU visibility
  • Appliance resource monitoring
  • Per-node GPU selection
  • VRAM used and available
  • Active and pending requests
  • GPU clocks and resource history
BrandingMake the workspace feel like part of your organisation.Explore capabilities
  • Logos, colours and assistant identity
  • Portal configuration
  • Customisable AI disclosure
  • Live portal preview
  • Company and assistant names
  • Accent-colour selection
  • Welcome headline and introduction
LicenseManage appliance entitlements and activation.Explore capabilities
  • License status and tier
  • Feature entitlements
  • Offline activation workflow
  • Hardware fingerprint
  • Licensed-feature inventory
  • Tier and expiry visibility
  • Activation and removal controls
UpdatesKeep platform maintenance under operational control.Explore capabilities
  • Available update information
  • Controlled update workflow
  • Version visibility
  • USB update-bundle detection
  • Signature verification before apply
  • Live update log
  • Completion and failure states

Discuss your deployment

Discuss your deployment