AI Appliance

One Full-Stack AI Harness. Three deployable form factors.

Same vertically optimized stack — from a single GB10 appliance to siloed private cloud.

One Harness · three deployable form factors

Key diagram
Diagram showing the Ivertiq Full-Stack Platform deployed on single-GB10 DGX Spark, dual-GB10 DGX Spark, and siloed private cloud
The same three-layer stack (Vertical Apps, AI Harness Control, Core Foundation) deploys as Single-GB10, Dual-GB10, or multi-tenant siloed private cloud.

Ivertiq Full-Stack Platform

The appliance is the physical embodiment of the stack

Customers buy a working vertical AI system — localized models, governed agents, and workflow apps — not a GPU server plus a model download.

Vertical Apps

Industry workflows, agents, and solutions

AI Harness Control

Orchestration, agents, policies, guardrails, HITL & audit

Ivertiq Core Foundation

Local & vertical LMs · knowledge engine · inference optimization

What changes across SKUs

Capacity

Concurrency & context

More GPUs and siloed cloud capacity for heavier orchestration and more users.

Model class

Best-fit local LMs

Entry tiers for strong local LMs; dual-GB10 for near-frontier configurations — validated per workload during design-partner scoping.

Ops model

Owned vs managed

Customer-owned appliance or multi-tenant private cloud with isolation and auditability.

a. Single-GB10 DGX Spark

Cost-optimized entry appliance for focused SME workflows, departmental pilots, and moderate concurrency.

b. Dual-GB10 DGX Spark

Higher-throughput appliance for heavier agent orchestration, larger context, more users, and near-frontier configs.

c. Private Cloud (siloed)

Multi-tenant, siloed managed option: SaaS-like ops with tenant isolation, controlled serving, and auditability — without public LLM API dependency.