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Appliance
Strongwall.ai AI Appliance

Performance.
Price. Security.
Pick three.

Frontier-class AI that runs entirely behind your firewall. One appliance, one 208–240 V outlet, no rack, no cloud contract. Not one byte of your data leaves the premises.

Available now
Request a private briefing See how it works

Kimi K3 · DeepSeek V4 Flash · full quantization · OpenAI-compatible API

Strongwall.ai AI Appliance hardware
No data leakage
100% on premises
Office-ready
runs on one 208–240 V outlet
API-class speed
comparable to commercial clouds
<¼ the cost
of an enterprise GPU build
Full quant
frontier models, nothing cut down
Full audit trail
logging and monitoring under your control
The old tradeoff

Until now, you were told to pick two.

Every path to serious AI forced a sacrifice: hand your data to someone else's cloud, spend datacenter money to keep it home, or settle for small models that can't do the work.

PerformancePriceSecurity

Commercial cloud APIs

Fast and capable — but every prompt, document, and log line is transmitted to a third party, governed by their terms, retained on their timeline, and subject to their subpoenas.

PerformancePriceSecurity

On-prem GPU clusters

Private and powerful — if you have a server room, three-phase power, a cooling budget, and seven figures for a rack of accelerators that mostly sit idle.

PerformancePriceSecurity

Small local models

Cheap and private — and visibly not the same class of intelligence. Fine for demos. Not for legal analysis, incident response, or anything a professional signs their name to.

The Strongwall AI Appliance breaks the triangle.

A custom accelerated hybrid CPU/GPU inference stack serves trillion-parameter-class frontier models at commercial-API speeds, from a single quiet box, at under a quarter of the cost of a GPU-based deployment.

Performance Price Security
Models

Frontier weights. Full quantization. Your hardware.

We serve today's strongest open-weight frontier models exactly as released — at full quantization, never a cut-down or compressed copy. The intelligence you benchmarked is the intelligence you deploy.

flagship · reasoning & agents

Kimi K3

A frontier-class mixture-of-experts model for deep reasoning, long-document analysis, and agentic coding — the class of model behind today's best commercial assistants, running on your floor.

Long contextAgentic tool useCode
high-throughput · latency-sensitive

DeepSeek V4 Flash 0731

A fast frontier model for interactive chat, high-volume document processing, and pipelines where responsiveness matters as much as depth.

Low latencyHigh throughputChat & RAG

Automatic model updates. The open-weight frontier moves fast — and your appliance moves with it. As stronger models are released and validated on our stack, they are delivered to your appliance. Your capability improves; your data still never moves.

Deployment

If the outlet fits, the appliance runs.

No server room. No three-phase hookup, raised floors, or facilities project. The appliance draws about 2,000 W at peak (the same order as a large copier) from a standard 208–240 V outlet of the kind found in offices, labs, and industrial space everywhere. Take it as a freestanding tower that needs no rack at all, or as a 2U rack unit if you already have one.

  • Power208 / 220 / 240 V single-phase outlet
  • Peak draw~2,000 W
  • Form factorFreestanding tower or 2U rack-mount
  • NetworkJoins your LAN; no inbound access needed
  • InterfaceOpenAI-compatible API + built-in console
  • TelemetryOn-site only — your logs stay yours
  • HardwareTurnkey appliance, or BYO compatible config
  • Lead timeWeeks, not months — available now
The stack

The economics come from the engineering.

Serving a frontier model doesn't require a wall of GPUs, just software that refuses to waste hardware. Our inference engine is tuned for the exact hardware it ships on, not a generic server. Because the appliance serves only your organization, it can optimize for your workload in ways a shared cloud can't.

MoE-aware

CPU/GPU split

Frontier models are mixture-of-experts: each token activates only a fraction of the weights. We place experts and computation across CPU and GPU to match that structure, so every part of the hardware is doing the work it does best.

Smart caching

tuned for your data

Your documents and codebases are cached automatically to maximize prefill speed, and prompt shaping keeps repeat queries cache-friendly.

Self-tuning decode

improves with use

Spare appliance capacity fine-tunes the on-box draft model against your real workload, so output speed keeps climbing after deployment.

Integration

Change one line. Keep your tools.

The appliance speaks the OpenAI Chat Completions API. Anything that talks to a commercial endpoint talks to yours, simply by changing a base URL.

  • Works with your coding harnesses
    OpenCode, Codex, and other agentic tools point at the appliance and keep working, with traffic that never leaves your network.
  • Built-in chat console
    A clean web console ships on the box, so legal, security, and operations teams get a ChatGPT-class experience with zero setup and zero egress.
  • On-site logging and monitoring
    Usage, health, and audit logs are generated and stored on-premises, ready for internal monitoring. We never see your traffic.
  • Training & integration services
    Hands-on training and consulting to fold AI into the way your teams already work, from document review to incident response. You don't need an AI team to get value from day one.
# Your existing client. One line changes.

from openai import OpenAI

client = OpenAI(
-   base_url="https://api.your-cloud-vendor.com/v1",
+   base_url="https://ai.internal.yourcorp/v1",
)

resp = client.chat.completions.create(
    model="kimi-k3",
    messages=[{"role": "user",
               "content": "Review this contract..."}],
)
# The contract stayed in the building.
Who runs on-site?

For work that can't be pasted into someone else's cloud.

In these industries, the prompt itself is the sensitive material. Sending it to a third-party API means trusting someone else to protect it.

Cybersecurity

Triage incidents, analyze malware, and query threat intel with a frontier model. Indicators, vulnerabilities, and breach details never reach an outside party.

Legal

Analyze case files, discovery, and contracts at frontier quality. Privileged material and work product never leave the firm.

Healthcare & life sciences

Summarize records, draft documentation, and mine research on-site. PHI never leaves the facility, and your HIPAA boundary stays the size it is today.

Finance

Run models over deal flow, positions, and research containing material non-public information. No third-party processor gets added to your compliance story.

Government & defense

Deploy frontier capability inside controlled and disconnected environments, where cloud APIs were never an option.

Engineering & manufacturing

Put AI to work on designs, processes, and formulations. Trade secrets keep their legal protection and stay under your control.

Security posture

Private by architecture, not by promise.

Cloud AI privacy is a policy: a paragraph in someone else's terms of service. Appliance privacy is physics: the inference happens on hardware you own, inside a network you control.

Zero data egress
Prompts, outputs, and documents are processed and stored on-premises. There is no vendor telemetry channel to audit, because there isn't one.
No training on your data
There's nothing to opt out of. Your usage never reaches us, so it can never train anything.
Your audit trail, on your terms
Every request can be logged on-site in your format, retained on your schedule, and fed to your monitoring stack.
Lives inside your perimeter
The appliance joins your network like any internal server: your firewall, your identity provider, your access rules. No inbound connectivity required.
FAQ

Common questions

Is it actually as fast as the commercial APIs?
Yes. At its supported user count, response speed is comparable to the major commercial API providers, and each appliance is single-tenant: no noisy neighbors or peak-hours degradation. We're happy to demonstrate side-by-side in a briefing.
What does it cost?
Deployments are scoped to your site, workload, and hardware situation, so we price per engagement rather than off a rate card. The short version: our hybrid CPU/GPU stack delivers frontier serving at under a quarter of the cost of a GPU-based build, and that saving is reflected in what you pay. Leasing and financing options are available, so you can acquire it as capital equipment or as a monthly cost. Request a briefing and we'll give you a concrete number quickly.
How fast can we be up and running?
Lead times are measured in weeks, not months, and appliances are available now. There's no datacenter provisioning or enterprise GPU lead time on the critical path: once your unit arrives, a typical installation is an outlet, a network drop, and a configuration session.
What do we need to install it?
A 208, 220, or 240 V single-phase outlet — the kind that already exists in most commercial, medical, and industrial buildings — and a network drop. Peak draw is about 2,000 W, with no special cooling and no facilities work in a typical installation. The appliance ships as a freestanding tower (no rack required) or as a 2U rack-mount unit for sites that already have rack space.
How do model updates work if no data leaves our network?
Updates flow one way. The appliance pulls signed model and software releases from Strongwall; nothing about your usage, prompts, or logs travels back. For environments where even outbound connections are unacceptable, we support administrator-applied offline updates.
Can we use our own hardware?
Yes. If you have compatible hardware (or procurement requirements that mandate your own metal), we deploy the same accelerated inference stack on qualifying customer-supplied configurations. We'll validate your configuration during scoping.
We don't have an AI team. Can we still use this?
Law firms, hospitals, and manufacturers rarely have ML engineers on staff, and they don't need them. The appliance ships with a ready-to-use chat console, and we provide training and hands-on consulting to integrate AI into the way your teams already work: which tasks to hand it first, how to connect your existing tools, and how to roll it out beyond the pilot group.
Which models are included?

We support all current frontier open models at full quantization, including:

  • Kimi K3
  • GLM 5.3
  • GLM 5.3 Flash
  • Inkling
  • Mistral Medium 3.5

Contact us for further details or specific model support.

Next step

See your data stay put.

Start with a 30-minute conversation. We'll demo the appliance against your use case, walk through what deployment at your site would involve, and map out next steps.

Available now
Request a private briefing

Or write to us directly: sales@strongwall.ai