LYKA

AI-native hybrid cloud OS

The cloud that
runs where you do.

Use the hardware you own. Keep the cloud you already chose. Lyka turns both into one open operating layer for AI, development, data, and modern applications.

Build your Lyka cloud → Explore the system ↓ Console login ↗
01 Lower non-prod cloud spend 02 Private AI and data paths 03 Cloud-native from edge to AWS
placement.engine
policy active
◈ workload code-agent-01
policy / cost / data
⌂ private edge Lyka Spark
PlacementLOCAL
Data pathPRIVATE
ReasonGPU + latency
provider: lyka-local state: reconciled

Open interfaces. Replaceable components. No cloud dead end.

KUBERNETES OCI OIDC OPENMETRICS GITOPS CNCF

One operating layer

Private when it matters.
Elastic when it counts.

Lyka does not ask you to replace your cloud. It gives every workload a deliberate home—and your engineers one consistent way to ship, secure, and observe it.

01 / CLOSE ● ready

Private compute

Turn capable on-prem hardware into governed Kubernetes, private AI, shared data services, and secure development capacity.

  • Data stays close
  • Predictable capacity
  • GPU-aware placement
02 / CONTROL ● synced

Shared platform model

Identity, policy, artifacts, observability, and developer workflows remain coherent across every location.

  • Keycloak SSO
  • OCI artifact flow
  • Unified telemetry
03 / SCALE ● connected

Your public cloud

Keep production, managed services, and elastic demand in AWS, Azure, GCP, or the environment you already operate.

  • Production pathways
  • Elastic burst
  • Cloud-neutral contracts

Developer cloud

A complete platform,
not a pile of tools.

Lyka gives product teams a paved road from commit to running service. Every capability is open, observable, and replaceable.

01 / DELIVERY

One artifact path from laptop to production.

Build once, sign once, and promote the same OCI artifact from private development into your production cloud.

GitLab CIJFrogHelmGitOps-ready
01Commitsource
02BuildCI runner
03ArtifactOCI / Helm
04Deployk3s / cloud
02 / AI RUNTIME

Private models with real boundaries.

Selected coding and planning models, bounded context, controlled concurrency, and memory-aware scheduling.

1 loaded model2 max parallel
03 / IDENTITY

One identity plane.

Employees use company identity across Kubernetes, dashboards, data tools, and internal services.

04 / OBSERVABILITY

See the whole operating surface.

Metrics, logs, traces, alerts, capacity, and AI utilization converge into one operational view.

PrometheusGrafanaAlertingOpenTelemetry-ready
05 / DATA SERVICES

Databases that feel managed.

Shared development databases, protected administration, documented access, backup policy, and workload connectivity.

Workload economics

Put every workload where it makes sense.

Control is not “everything local.” It is making placement a conscious architectural choice instead of a billing accident.

WorkloadPrivate LykaPublic cloudWhy
Developer environmentsBest fitOptionalsteady demand + fast feedback
Private AI inferenceBest fitBurstdata control + owned GPU
CI runners & previewsBest fitBurstpredictable baseline capacity
Customer productionSelectiveBest fitavailability + managed scale
Global elastic servicesControl planeBest fitreach + demand volatility

Interactive architecture

One operating layer.
Explore every system.

Select a domain or service to see how identity, Kubernetes, AI, shared engineering services, and public cloud work as one portable platform.

  • 01 Kubernetes as the workload contract
  • 02 OIDC identity and least-privilege RBAC
  • 03 OCI artifacts and declarative delivery
  • 04 Open metrics and portable telemetry
system.map / live model all pathways operational
CURRENT FOUNDATION NVIDIA GB10 Spark · 128 GiB unified memory · 3.7 TB NVMe
Nowsingle-node k3sprivate servicesOIDC access
Nextdelivery automationalertingresilient storage

Delivery models

Your hardware.
Our full stack.

Start with the footprint that matches your team. Every engagement leaves you with an understandable, documented, and operable platform.

A

Bring your hardware

We assess existing compute, storage, and network capacity, then install the Lyka operating layer around it.

Platform architecture + implementation
B

Lyka full-stack cloud

A validated hardware and software footprint delivered ready for your engineers, applications, and AI workloads.

Hardware + platform + handover
C

Hybrid integration

Connect the private platform to your existing AWS, Azure, GCP, identity, registry, and delivery estate.

Cloud pathways + operating model

Built to keep changing

A Linux-like philosophy for hybrid cloud.

Stable interfaces. Replaceable components. Visible resource boundaries. Lyka evolves with the cloud-native ecosystem instead of trapping your platform in a proprietary appliance.

Composable Choose the implementation behind each open interface. Inspectable Own the configuration, metrics, and operating knowledge. Portable Keep workloads and workflows compatible with public cloud.

Your cloud, on your terms

Start with the workload.
We’ll design the right footprint.

Tell us what you run, where production lives, and which data or engineering workflows should stay closer.

Start a platform brief ↗