Products — AI Server
Five configurations, M1 to M5, from departmental inference to sovereign AI data centers. Your process data, customer records, and proprietary models stay inside your facility, never on someone else’s cloud. It is a one-time capital cost, predictable from day one, not an open-ended cloud bill. Built on NVIDIA, Intel, and Supermicro.
01
Cloud inference means your process parameters, customer records, and proprietary models are processed on someone else’s servers. In manufacturing, healthcare, government, and finance, that is a compliance exposure, not a preference. On-premise, your data never leaves the building.
Cloud inference charges per token. As AI workloads expand across your operation, costs accumulate linearly with no ceiling. On-premise hardware is a one-time capital decision with predictable costs from day one, and payback typically lands at ~12 months (9–14), based on a customer pilot and internal estimate.
Every MICH configuration is built on genuine NVIDIA, Intel, and Supermicro hardware through standard channels, with sourcing traceable at the component level and no modified or gray-market parts.
02
Factory IT & Operations
ERP, MES, and shop-floor data that cannot leave the facility. AI that needs to run when the network goes down. Procurement that requires supply chain origin documentation.
Healthcare, Government, Finance
Regulated industries where data sovereignty is a legal requirement. Environments that must operate fully air-gapped. Procurement that requires verified, traceable hardware origin.
Sovereign Compute
Organizations building private AI data centers. Teams deploying 100B+ models on-premise. Any operation that needs compute infrastructure that answers only to them.
Included with every configuration LowsiteOS connects your ERP, MES, and IoT data and turns it into on-site, queryable intelligence. No cloud API. No data leaving your facility.
Learn about LowsiteOS03
M1–M2
Piloting AI, or running it for a single team? One deployable unit for the office, clinic, or lab. No server room, no facility modification.
M2–M3
Multiple models in parallel, or a 120B+ model on a single box. Slots into your existing 5–7kW rack, with no construction and no waiting.
M4–M5
A private AI data center serving 200–500 users, or frontier-model training at national scale. Compute that answers only to you.
Starter
Best for
Your engineers run models next to the workstation. Data never leaves the floor. Within 90 days you know whether this AI direction is worth scaling.
What you can run
RAG knowledge base, natural-language BI, speech AI (Riva), and vision / medical-imaging pilots (Metropolis, Clara). Open models up to 70B, or 120B on the 192GB config.
Department
Best for
Multiple AI models running in parallel, across departments. Slots into your existing 5–7kW rack infrastructure, with no facility upgrade and no waiting on construction.
What you can run
Several production models at once: contact-center speech (Riva), scheduling optimization (cuOpt), real-time security (Morpheus), and org-wide RAG, all from one rack.
Research
Best for
Running 120B+ frontier models on a single unit without VRAM bottlenecks. Deploys desk-side or in a lab, with no raised floor and no specialized cooling infrastructure.
What you can run
120B+ frontier LLMs unsplit in 748GB coherent memory, plus Omniverse digital twins, BioNeMo / Parabricks genomics, and Modulus yield RCA, all on one box.
AIDC
Best for
Organizations that need a private AI data center: serving 200–500 concurrent users, running multiple large models, with compute sovereignty that no vendor or government can interrupt.
What you can run
Multi-tenant production for 200–500 users: org-wide RAG, real-time fraud / AML (Morpheus), speech at scale, and NeMo fine-tuning, each department isolated in its own lane.
AIDC Pro
Best for
National-scale AI deployments, 100B–1T+ model training, and sovereign compute infrastructure. For organizations where the compute itself is a strategic asset, not a service rented from someone else.
What you can run
100B–1T+ model training (NeMo), multi-node clustering over 800GbE, multi-site Omniverse collaboration, and Earth-2 climate / disaster simulation, all at sovereign scale.
Specs
All tiers share the same LowsiteOS operating layer. ★ = Phase 1 recommended.
| Tier | GPU | VRAM / Memory | Positioning | Lead (MICH) |
|---|---|---|---|---|
Workstation· Desk-side · department deploymentM1 · M3 | ||||
 | NVIDIA RTX PRO 6000 Blackwell ×1–2 | 96–192GB GDDR7 ECC DDR5 5600 up to 4TB | Edge PoC / dev teams · 28dB desk-side | ⚡ 1.5wvs 3w direct |
 | NVIDIA GB300 Grace Blackwell Ultra (Grace 72C + B300) | 748GB coherent (HBM3e + LPDDR5x) 496GB LPDDR5x SOCAMM (in coherent pool) | R&D core · 748GB coherent memory, one box · 28dB | ⚡ 2.5wvs 6w direct |
Rack· Data-center · AIDC deploymentM2 · M4 · M5 | ||||
 | NVIDIA RTX PRO 6000 Blackwell ×8 (PCIe · CX-8 switch) | 768GB GDDR7 ECC (96GB×8) DDR5-6400 up to 6TB | Departmental inference pool · fits 5–7kW legacy racks | ⚡ 2wvs 4w direct |
 | NVIDIA HGX H100/H200 8-GPU (SXM5 · NVLink) | 1,128GB HBM3e (141GB×8) DDR5 5600 up to 8TB | AIDC core · multi-tenant serving · under a 15kW rack | ⚡ 4wvs 9w direct |
 | NVIDIA HGX B300 8-GPU (NVLink 5 · 1.8TB/s) · Air-Cooled | 2.3TB HBM3e (288GB×8) DDR5 RDIMM up to 8TB | Sovereign AI / national scale · 100B–1T+ training & multi-modal R&D | ⚡ 5wvs 12w direct |
Solutions
Every AI Server ships with its matching LowsiteOS solution tier (T1–T5). Pick a tier to see its built-in features, sellable scenarios and industry use cases.
Your first on-prem AI machine. Ask your data questions in plain language, auto-build dashboards, stand up a company knowledge base, deploy AI agents, all with no team to hire and no code to write. Runs open models up to 70B (gpt-oss-120B on the 192GB config).
Run BioNeMo protein-structure & docking PoCs in your own lab, where data never leaves the building. First results in weeks, then decide whether to scale.
※ The entry point for all six verticals
04TCO Advisor
Don’t guess. The Spec Advisor recommends the right M-tier for your workload and scale, then estimates your 3-year TCO against equivalent cloud spend.
Free · instant · no signup
05Trusted Hardware & Local Delivery
Every MICH AI Server is built from 100% genuine, standard-channel NVIDIA, Intel, and Supermicro hardware with full manufacturer warranty. It is integrated and delivered locally, with predictable lead times and on-site support.
Standard channel
NVIDIA · Intel · Supermicro
100% genuine, first-tier components, with no modified or white-box parts. Serial-traceable, with full manufacturer warranty.
Integrated in Taiwan
Single point of contact
Integrated and shipped locally, with transparent, predictable lead times. MICH holds stock of common configurations, skipping the OEM build and GPU-allocation queue for a noticeably shorter wait.
Local engineers
Install · warranty · maintenance
On-site installation and training, warranty, maintenance, and remote monitoring. When something needs attention, someone shows up.
06FAQ
The questions we hear most, on cost, data, lead time, and getting started.
Tell us about your facility and workload. We’ll respond promptly with a configuration recommendation specific to your environment. Prompt response · No commitment
Fast response · Free consultation
