Physical Integration Lab
Representative AI Factory infrastructure is assembled around the selected component set, topology, versions, and operating model.
AI Factory failures often appear between systems, not inside a single product. GPU servers, DPUs/NICs, east–west and north–south fabrics, storage, and host orchestration can all be individually supported and still fail as one operational stack.
The question is simple: does the selected design work end to end?
Firmware, drivers, NOS, storage, and orchestration dependencies can break the complete data path or control path.
The issue may sit between the GPU host, DPU/NIC, fabric, storage system, and orchestrator.
Interoperability and operational gaps are often discovered during a customer PoC or early production.
FTAS uses a vendor-neutral physical lab to validate the exact combination the customer plans to deploy. The test covers connectivity, interoperability, tenant workflows, storage attachment, observability, and Day 0–Day 2 operational readiness.

Lock the components, versions, topology, scale, and acceptance criteria.
Bring together GPU servers, DPUs/NICs, fabrics, storage, and host orchestration.
Validate cabling, adjacency, underlay, RoCE, tenants, isolation, and storage attachment.
Aviz Forward Deployed Engineers work with the customer and participating vendors to define the test gates, assemble the environment, troubleshoot failures, and deliver the final evidence package.
Test monitoring, alerts, maintenance mode, upgrades, audit, and drift detection.
Deliver the Reference Architecture, config pack, integration report, known issues, and cadence.
Representative AI Factory infrastructure is assembled around the selected component set, topology, versions, and operating model.
Work hands-on with Forward Deployed Engineers on test planning, cross-vendor troubleshooting, remediation, and the final technical readout.
Complementary role: NVIDIA DSX Air supports high-fidelity digital simulation. FTAS validates the assembled physical stack and its Day 0–Day 2 behavior; it is not positioned as a digital twin or a “build it before you build it” platform.
FTAS validates how the physical stack behaves when it is operated as a shared AI infrastructure platform.
Validate host-based DPU isolation or network-based VXLAN/EVPN, with VLAN and VRF options.
Verify service, compute, host-networking, tenant creation, and overlapping-IP workflows.
Test storage connectivity, routing, policy, read/write access, and failure visibility.
Validate gateways, NAT, route leaking, peering, and Layer 4 service exposure where selected.
Check port, ASIC, buffer, RoCE, topology, device-health, and workload-path telemetry.
Exercise maintenance mode, upgrades, audit logs, RBAC, tenant RBAC, RMA, backup, and restore workflows.
Each tested combination produces a customer-selectable Reference Architecture and evidence package tied to the exact components, versions, topology, scale, and operational baseline.
Front-end, storage, border, and GPU backend fabrics are tested with the compute, DPU/NIC, storage, orchestration, policy, and isolation model the customer plans to use.


After the initial physical integration test, FTAS can rerun the design as software, firmware, configurations, and partner components change.
The stack you can bring for testing:
FTAS validates supported combinations and publishes the exact components and versions that passed together.
FTAS runs a lightweight workload to verify scheduling, GPU access, fabric correctness, storage read/write, and telemetry across the selected physical stack.
$ launch workload through the selected orchestrator$ verify GPU and DPU/NIC access$ verify east–west and north–south connectivity$ verify storage read/write path$ capture fabric + host telemetryNot included: AI performance benchmarking. FTAS proves functional integration and design correctness; it does not compare model, GPU, or training performance.
Digital simulation or AI performance benchmarking.
FTAS is Aviz's vendor-neutral physical integration-testing environment for complete AI Factory stacks. It validates whether a selected combination of GPU compute, DPUs/NICs, east–west and north–south fabrics, network operating systems, storage, host orchestration, and Day 0–Day 2 operations works end to end.
Use FTAS when you need to know whether a selected physical AI Factory design works end to end, when multiple vendors must be integrated, or when a component, firmware, software, or configuration change needs regression validation.
NVIDIA DSX Air supports high-fidelity digital simulation. FTAS focuses on physical, end-to-end integration testing in a vendor-neutral lab with Aviz Forward Deployed Engineers. FTAS validates the assembled stack and operational workflows; it is not positioned as a digital twin or a "build it before you build it" platform.
Aviz FDEs help define the selected stack and acceptance gates, coordinate the physical bring-up, troubleshoot cross-vendor integration failures, document known issues and remediation, and lead the final technical readout.
Validation runs in a controlled Aviz lab on representative physical infrastructure assembled around the selected component set, topology, versions, and operating model.
The core package includes a customer-selectable Reference Architecture, topology and role-based templates, component and version baselines, configuration artifacts, an integration validation report with known issues, and a monthly or quarterly reporting cadence where applicable.
No. FTAS validates design correctness, end-to-end integration, and operational readiness. A lightweight workload smoke test confirms that the workload schedules, accesses the selected network and storage paths, completes, and produces expected telemetry; it is not an AI performance benchmark.
Share the target components, versions, topology, and operating model. We will define the gates, assemble the physical environment, run end-to-end Day 0–Day 2 validation, and return the evidence package.