Solutions

Workload first. Hardware second.

Start with the work, the data, and the boundary. Then select the system that fits the site.

System scope

HardwareCustomer site
AI runtimeLocally operated
AccessCustomer governed
AcceptanceEvidence based

Deployment classes

Pick a lane. Prove the final build.

Solo, Team, and Enterprise are planning lanes—not fixed boxes.

5–25 named users

Solo

A compact private-AI starting point for an executive team, proposal shop, engineering cell, or controlled pilot.

Active use
Typically 1–5 active generations
Memory
48–128 GB accelerator memory; 96–192 GB unified-memory class where appropriate
Platform
Professional tower or compact rackmount appliance
Model class
Fast small-to-mid local models; larger quantized models after validation

Representative local models

  • Gemma 4 · 4B / 12B class
  • Qwen · 8B–27B class
  • Ministral / Mistral Small
  • DeepSeek reasoning distills · 7B–32B

Knowledge scale

Workgroup knowledge base: thousands to low hundreds of thousands of indexed chunks

  • Private chat and document Q&A
  • Optional retrieval with source citations
  • Local user administration
  • Acceptance testing and operator handoff
Build

20–150 named users

Team

Shared system

A rack-mounted deployment for shared departmental use, stronger identity integration, and sustained internal workloads.

Active use
Typically 6–24 active generations
Memory
96–384 GB aggregate accelerator memory; 192–512 GB unified-memory class
Platform
Enterprise rack server or paired rack appliances
Model class
Mid-to-large local models selected for shared quality and throughput

Representative local models

  • Llama · 70B class
  • Qwen · 27B / 35B-A3B class
  • Gemma 4 · 31B / 26B MoE class
  • Mistral Small class

Knowledge scale

Department knowledge estate: hundreds of thousands to several million indexed chunks

  • Microsoft Entra ID or compatible SSO
  • Governed retrieval and citations
  • Role-based access and audit logging
  • Monitoring, backup, and restore runbooks
Build

150–500+ named users

Enterprise

A site-specific architecture for multiple workloads, larger concurrency targets, or specialized model requirements.

Active use
25–100+ active generations after workload validation
Memory
384 GB–1.5 TB+ aggregate accelerator or unified memory, workload dependent
Platform
Multi-server rack architecture or segmented site deployment
Model class
A routed model portfolio selected per workflow, boundary, and service target

Representative local models

  • Llama 4 Scout / Maverick class
  • Large Qwen mixture-of-experts models
  • Mistral Large class
  • DeepSeek R1 / V3 class
  • Specialized code, vision, OCR, and embedding models

Knowledge scale

Multi-domain knowledge estate: millions+ of indexed chunks with governed ingestion and permissions

  • Site survey and capacity planning
  • Network and identity architecture
  • High-availability options where justified
  • Phased rollout and operational enablement
Build

Tier ranges are planning baselines, not guaranteed limits. Final capacity depends on model and quantization, context length, retrieval design, data volume, concurrent use, latency targets, licensing, facilities, and acceptance testing.

Not sure which tier fits?

Seven quick picks. One starting fit.

Compare users, demand, models, data, access, and resilience.

Build

One accountable delivery

More than a GPU server.

The value is in making hardware, software, access, data, and operations work as one controlled system.

Purpose-built hardware

A serviceable tower, rack server, or site-specific platform selected for the approved workload—not a generic SKU presented as a solution.

Open-weight models

Models are evaluated against your use cases, capacity, quality threshold, and operating constraints before final selection.

Private interface

An internal web experience for approved users, published with private DNS and HTTPS inside the customer environment.

Grounded retrieval

Optional document retrieval turns approved internal knowledge into traceable answers with source citations.

Identity and access

Local accounts or enterprise identity, deliberate roles, and a defined path for office and approved remote access.

Operational handoff

Acceptance evidence, recovery procedures, operator training, and clear support boundaries are delivered with the system.

Ready when you are

Start private. Prove it works.

Pick the users, workload, and boundary. We’ll map the build.

Build