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Private AI That Never Leaves Your Building
Mac Studio clusters running frontier open-source models. Your data never leaves your premises. Configured, delivered, and supported by Bit Thicket AI.
Your Data Deserves Better Than the Cloud
Cloud AI Sees Everything
When you use ChatGPT, Claude, or Gemini, every conversation passes through their servers. For legal briefs, patient records, and financial data, that is an unacceptable risk.
Terms Change Without Notice
Cloud providers can change data usage policies at any time. What is private today may train their models tomorrow. You have no real control.
Outages Are Out of Your Control
When their servers go down, your AI goes dark. When they deprecate a model, your workflows break. Your business depends on someone else’s uptime.
A Private AI Stack, Fully Managed
We configure and deliver a Mac Studio cluster to your location. You get frontier AI capabilities without sending a single byte off-premises.
- Apple Silicon Power M3 Ultra chips with up to 512 GB unified memory per node
- Scalable Clusters 2 to 8 nodes configured for your workload
- On-Site Installation Fits under a desk or in a small rack — quiet enough for any office
- Support Available Remote monitoring, software updates, and expert support — talk to us about a support plan
Meet OpenClaw
Open-source AI assistant software that runs entirely on your cluster.
Talk to your AI through WhatsApp, Telegram, Discord, Slack, Signal, or iMessage. No special app required.
Schedule summaries, draft emails, organize documents, and research topics. OpenClaw works in the background.
ChromaDB vector database indexes your documents for instant semantic search across everything you own.
Everything runs on your hardware. Conversations, documents, and search queries never leave your network.
Audit the code yourself. No black boxes, no hidden data collection, no surprises.
Run the Best Open Models
Choose from a curated selection of state-of-the-art models, all running locally on your cluster.
DeepSeek R1 / V3
Reasoning, coding, general knowledge
7B – 671B parameters
Llama 3.3 / 4
General purpose, multilingual
8B – 405B parameters
Qwen 2.5
Multilingual, coding, math
7B – 72B parameters
Mixtral
Fast inference, strong reasoning
8x7B & 8x22B MoE
Flux
Image generation
Various architectures
And More
The open-source ecosystem moves fast. We track what’s worth running and can deploy new models to your cluster as they mature.
Built for People Who Cannot Afford to Compromise
Law Firms & Solo Practitioners
Draft briefs, search case law, summarize depositions. Attorney-client privilege stays intact because data never leaves your office.
Medical & Dental Practices
Analyze patient notes, generate summaries, assist with documentation. Full HIPAA control — no third-party cloud processor involved.
Financial Advisors & Family Offices
Portfolio analysis, market research, client communications. Client financial data stays in-house where it belongs.
Executives & HNW Individuals
Personal AI assistant for scheduling, research, and communications. Your personal data is not someone else’s training data.
Small Businesses
Customer support automation, content generation, internal knowledge base. Enterprise AI capability at business scale.
Privacy-Conscious Families
Homework help, research, creative projects, home automation. AI for the whole family without surveillance.
Technical Specifications
Hardware
| Compute | Apple Mac Studio (M3 Ultra, 80-core GPU) |
| Memory | 512 GB unified memory per node |
| Storage | 2 TB – 8 TB SSD per node |
| Cluster | 2 – 8 node configurations |
| Network | Thunderbolt / Ethernet interconnect |
| Form Factor | Fits under a desk or in a small rack |
Software
| AI Assistant | OpenClaw (open source) |
| Vector DB | ChromaDB for semantic search |
| Model Serving | Ollama inference engine |
| Updates | Automatic model & software updates |
| Monitoring | Remote health dashboard |
| Backups | Encrypted local or private cloud |
Stop Renting Your AI
Running frontier open-source models in the cloud means renting GPUs or paying per token — every month, with no end in sight. There’s a simpler way.
Cloud GPU Rental
What it actually costs to run DeepSeek, Llama 405B, or similar models 24/7 on rented GPUs
- DigitalOcean 8×MI300X: $8,582/mo (committed)
- Lambda 8×H100: $17,222/mo
- AWS 8×H200: $28,656/mo
- AWS 8×H100: $39,629/mo
- First year alone: $103k – $475k
4-Node Mac Studio Cluster
One-time purchase. 2 TB unified memory. No token metering. No monthly bill.
- 4× Mac Studio M3 Ultra, 512 GB each
- Runs DeepSeek 671B, Llama 405B, and more
- Pays for itself in 2–5 months vs. cloud
- Year 2 and beyond: $0
Reserve Your Private AI Cluster
Limited initial availability. Reserve now with a fully refundable $1,000 deposit.
Frequently Asked Questions
What exactly do I get?
A cluster of Mac Studio computers configured with AI software, delivered and installed at your location. We handle all setup, configuration, and ongoing software updates remotely. You own the hardware outright.
Do I need technical knowledge?
No. You interact with your AI through familiar chat apps like WhatsApp, Slack, or iMessage. We handle all the technical details behind the scenes.
What if I need help or something breaks?
We offer ongoing support services for all Bit Thicket AI clients. The specifics — monitoring, response times, hardware replacement — depend on your situation and needs. Get in touch and we’ll put together a support arrangement that makes sense for you.
Can I choose which AI models to run?
Yes. We work with you to select and configure the right models for your use case. As new open-source models are released, we can evaluate and deploy them to your cluster.
Is my $1,000 deposit refundable?
Yes, fully refundable at any time before your cluster ships. No questions asked.
How is this different from running AI on my own Mac?
A single Mac can run small models. A cluster gives you the memory and compute to run full-size models (70B+ parameters) that rival the quality of cloud AI services. Plus, we handle all configuration, optimization, and ongoing maintenance.
What about updates when new models come out?
The open-source model ecosystem moves fast. We track new releases and can deploy updated models to your cluster as part of our support services. Contact us to discuss how updates work with your support arrangement.
How much physical space does it need?
A 4-node Mac Studio cluster fits on a single shelf. It is quiet enough for any office environment and uses standard power outlets. No server room required.