01
Runtime topology
Where models, jobs, and supporting services run.
IT Architecture
AI infrastructure your team can operate.
We design runtime shape, access paths, deployment assumptions, diagnostics, and rollback notes around your real operating environment.
runtime topology / access path / deployment shape / hardware diagnostics / rollback notes
02
Access path
Operator entry points, network assumptions, and admin surfaces.
03
Deployment assumptions
Hardware, environment, runtime, and maintenance constraints.
04
Diagnostics notes
Capacity, VRAM, queue latency, process health, and logs.
05
Operator runbook
Install, activation, recovery, rollback, and handoff notes.
System boundary
runtimeworkstation | on-prem | VPC
accessoperator | admin | service
diagnosticslogs | capacity | rollback
networkprivate | restricted
handofftopology | runbook
Fit
When this service fits
Best for teams moving private model workflows from experiments into operable environments.
- Defined model workflow boundary
- Known deployment target or constraint
- Operator access needs explicit design
- Rollback and recovery matter
Environment
Environment and deployment shape
Architecture follows the customer environment, not a default platform template.
- Apple Silicon or local workstation
- On-prem GPU or internal server
- Private cloud or VPC context
- Restricted network assumptions
Runtime
Runtime topology and model path
We define where models run, how artifacts load, and how data reaches the workflow.
- Runtime location and responsibility
- Model or adapter loading path
- Data package or retrieval access
- Update path for artifacts
Access
Access path and operator surface
Operator routes, admin actions, and sensitive surfaces are made explicit before implementation.
- Identity and role assumptions
- Network entry path
- Admin surface and operator actions
- Secrets handling assumptions
Diagnostics
Hardware diagnostics and rollback
Operability work covers modest signals, likely failures, and recovery paths for first deployment.
- Hardware capacity and VRAM
- Queue latency and process health
- Log collection assumptions
- Rollback and recovery notes
Support
Implementation support model
We work directly with the customer team through architecture, first deployment, and handoff.
- Architecture pass before implementation
- Remote or on-site support
- Customer review and handoff
- Follow-up changes scoped separately
Patterns
Example architecture patterns
Typical patterns are private model environments, not generic IT outsourcing or cloud migration.
- Local AI workstation
- On-prem GPU runtime
- Private VPC model service
- Restricted evaluation environment
Ledger
Deliverables ledger
The output is a practical architecture package for review, implementation, and customer-side operation.
- Architecture brief
- Runtime topology
- Access and deployment assumptions
- Diagnostics and rollback notes
Boundary check
Design the operating boundary.
Bring the model workflow, target environment, access constraints, hardware context, and support expectations.
Share the workflow, environment, access path, hardware constraints, and deployment timeline.
System signals
- You need a private model workflow deployed.
- Your team will own or co-own operation.
- Access, diagnostics, and rollback need design.
Boundary limits
- You need helpdesk or generic MSP support.
- You expect guaranteed security or compliance outcomes.
- You want a SaaS control-plane product.