Workload and capacity
Models, latency, concurrency, storage, expected growth, cloud fallbacks, and measurable workload limits.
Laava Box
The Laava Platform, on premises.
Laava Box is the on-premise deployment route we develop with paid design partners for workloads with hard physical-location, offline, local-network, or dedicated-capacity requirements.
Every Box engagement starts with a workload and site assessment covering security, operations, recovery, support, and ownership.
PaidDesign partner
SiteReadiness review
ExplicitSupport boundary
DESIGN PARTNER / ON PREMISES / SCOPEDBox fit
Positioning
On-premise starts with the workload.
A local appliance introduces responsibilities for physical access, networking, identity, updates, monitoring, backup, restore, replacement, remote support, model routing, and incident response.
We choose Laava Box only when those trade-offs are justified by the workload.
- Start with the bottleneck before tooling
- Proof before scale or transformation
- Decisions based on operational reality
Where this fits
When Box is the right deployment route
Box fits workloads where physical location, offline operation, local systems, or dedicated capacity are real operating requirements.
The workload must keep specific processing or model capacity at a physical site.
The agent needs controlled access to a local network or systems that should not be exposed externally.
Offline or degraded-connectivity operation is an actual requirement, not a preference.
The customer can provide a site owner, network owner, security owner, and operational counterpart.
Deployment design
What must be designed before a Box can be delivered
We design and prove these parts for the actual site and workload before delivery.
Site and security
Physical location, rack and power, network zones, identity, remote access, secrets, logging, and customer controls.
Operations and recovery
Monitoring, updates, backup, restore, rollback, spares, replacement, incidents, and named responsibility per failure mode.
Commercial and legal
Hardware ownership, service boundary, insurance, warranties, provider use, lifecycle, exit, and total cost to serve.
Approach
Build Box with a design partner
We begin with the operating case, design the deployment around it, and prove the route together before production.
Step 01
Qualify the hard requirement
Document why managed hosting or Customer Cloud does not meet the workload, policy, site, or connectivity need.
Step 02
Assess the site
Review network, identity, physical conditions, access, support, recovery, and customer responsibilities.
Step 03
Design and prove
Build and test the scoped deployment, workload, operations, restore, and failure paths with the design partner.
Step 04
Decide on production
Proceed only when acceptance, service, legal, insurance, lifecycle, and economics are explicit and workable.
Boundaries
Questions that need an answer before delivery
How does a Box engagement start?With a scoped paid design partnership.
We assess the workload and site, agree the operating model, and design and test the deployment before a production commitment.
Does everything have to run locally?Not necessarily.
Local and external model routes follow the data policy, workload, availability need, and agreed architecture. A Box is not a blanket local-only claim.
Who owns hardware and operations?That is part of the design and contract.
Ownership, access, updates, backup, restore, replacement, remote support, incidents, data export, and end-of-life responsibilities must be assigned explicitly.
Is the Box a separate AI product?No. It is a deployment profile of the Laava Platform.
The same platform model applies: context, tools, agents, human control, evaluation, operations, and expansion. The local deployment changes technical and service responsibilities.
First step
Explore the right private deployment
Share the workload, data policy, site, connectivity, local systems, capacity, and availability requirements. We will compare Box with Laava Managed and Customer Cloud before recommending a route.
Response time
We typically respond within 24 hours