infrastructure

Infrastructure that lives in your cloud account

We deploy private AI foundations inside your AWS, Google Cloud, or Azure tenancy so you keep custody of the data, network, and cost controls. Every component ships with auto-scaling, GPU orchestration, and health probes tuned for 99.9% uptime targets.

What we stand up for you

GPU-ready clusters

Managed Kubernetes or serverless GPU pools sized for the models you select, with autoscaling policies that react to real demand.

Networking guardrails

Private VPCs, load balancers, and firewall rules that isolate AI workloads while keeping latency low for end users.

Observability stack

Logging, metrics, and alerting wired into your existing tools (Cloud Monitoring, Datadog, Grafana) so your team sees the same dashboards we do.

Secrets and config

Centralized secret storage (Secret Manager, AWS Secrets Manager, Key Vault) with rotation policies and scoped access.

CI/CD pipeline

GitHub Actions or Cloud Build workflows that promote infrastructure changes safely through dev, staging, and production.

Disaster readiness

Backups, multi-region replication options, and documented recovery drills so you can prove resilience to stakeholders.

Operator-first rollout

  1. Baseline assessment of your cloud account and security policies.
  2. Reference architecture and Terraform or Pulumi blueprints delivered for review.
  3. Joint deployment session with your engineering or IT team to ensure shared ownership.
  4. Handoff workshop covering scaling policies, upgrades, and incident response.

Most customers see production traffic flowing within the first week, with optimization sprints scheduled as usage grows.

Platform options

  • Google Cloud: GKE Autopilot, Vertex AI endpoints, Cloud Run for supporting APIs.
  • AWS: EKS with managed node groups, Bedrock integration, Lambda for lightweight tasks.
  • Azure: AKS with GPU node pools, Azure OpenAI Service, Functions for automation hooks.

Already standardized on another orchestrator? We adapt to OpenShift, Nomad, and on-prem Kubernetes clusters too.

Educational resources for your team

Runbooks and diagrams

Every build ships with architecture maps, dependency charts, and day-two operations checklists so new teammates ramp quickly.

Hands-on labs

Interactive walkthroughs show how to scale nodes, drain clusters, and roll back deployments without risking production.

Cost visibility

Shared dashboards demonstrate how GPU spend, data egress, and storage costs trend over time so finance stays aligned.

Continuity planning

Tabletop exercises and simulated failovers keep response muscle memory fresh for operations and leadership alike.

Ready to review your current setup?

We will audit existing infrastructure diagrams, highlight quick wins, and propose a rollout that keeps control in your hands.

Schedule an infrastructure briefing

Common questions

Who manages the cloud account?

You do. We provision using your access policies and leave the environment under your control.

Can we start without GPUs?

Yes. We can begin with CPU instances and add GPUs once usage warrants it, minimizing upfront spend.

How do upgrades work?

Versioned infrastructure code and staged environments make upgrades predictable and reversible.