Private AI Deployment

OwnyourAIintelligence

Deploy frontier open-source AI models on infrastructure you control. Private agents, predictable costs, zero vendor lock-in.

SaaS AI has a trust problem

Every prompt you send to a third-party API is a data point they can use to train their models. Your proprietary workflows, client data, and competitive insights flow through servers you don't control.

Your data trains their models

OpenAI, Google, and others may use your API inputs for training. Your competitive advantage becomes their training data.

Vendor lock-in

Tied to their pricing, rate limits, and feature decisions. They can change models, deprecate features, or raise prices overnight.

Unpredictable costs

Usage-based pricing means your bill scales with success. The more your AI agents work, the more you pay. No ceiling.

AI agents on your infrastructure

We deploy frontier open-source models on servers you own. Your data stays in your control. No AI company trains on your ideas.

Model Agnostic

Swap between any open-source model. GLM-5.1 today, Qwen 3.6 tomorrow. No migration cost.

Private & Secure

Your data never leaves your infrastructure. No third-party training on your proprietary workflows.

Cost Predictable

Fixed infrastructure cost regardless of usage. $230/mo vs unpredictable API bills.

No Lock-in

Open weights, open source. Deploy anywhere, move anytime. You own the deployment.

Frontier Open-Source Models

The models we deploy

GPT-class intelligence, open weights, deployable on your hardware. Model-agnostic means you choose.

GLM-5.1

by Zhipu AI

Enterprise agents

Parameters

754B

Context

128K+

Agentic engineering
Native tool calling
26+ languages

Qwen 3.6

by Alibaba

Coding & STEM

Parameters

27B / 35B MoE

Context

262K (1M ext.)

94.1% AIME 2026
87.8% GPQA Diamond
Hybrid DeltaNet

Kimi K2.6

by Moonshot AI

Multi-agent systems

Parameters

1T MoE / 32B active

Context

256K

Beats GPT-5.4 agentic
300 sub-agent swarms
96.4% AIME 2026

Gemma 4

by Google

Edge & mobile

Parameters

26B / 31B

Context

128K+

Runs on laptops
Google-grade quality
Mobile-first variants
Infrastructure

Transparent costs

No hidden fees, no usage-based surprises. Your AI runs on dedicated GPU hardware for a fixed monthly cost.

Vast.ai RTX 5090

32GB VRAM · 108 TFLOPS

GPU

NVIDIA RTX 5090

VRAM

32 GB

Performance

108.1 TFLOPS

Network

~700 Mbps

Uptime

96–97%

Cost

$0.32/hr

Cost comparison

Vast.ai 1× RTX 5090Recommended

Unlimited usage

~$230/mo

OpenAI API (GPT-4 class)

Usage-based

$500–5,000+/mo

Anthropic API (Claude)

Usage-based

$300–3,000+/mo

On-premise RTX 5090

Own the hardware

~$3,500 + $50/mo

Model compatibility

Qwen 3.6-27B and Gemma 4 26B run at full speed on a single RTX 5090. Larger models (GLM-5.1, Kimi K2.6) use quantization or multi-GPU setups.

Ready to own your AI?

We'll help you choose the right model, set up your infrastructure, and deploy your first private AI agent. No commitment required.