Complete Local AI Systems
Turnkey Hardware + Optimized OS + Curated Models + Knowledge Library
Multiple language models capable of running offline simultaneously
Everything You Need for Local AI Deployment
Hardware + OS + Models + Knowledge. Everything pre-configured and tested. Unbox, power on, start building in hours.
Run Llama 405B at 2-bit, 70B at 4-bit, multiple 7-13B models simultaneously. No cloud needed.
Llama 405B (2-bit), 70B (4-bit), 13B, 7B. Multiple quantizations. Ready to run immediately.
Custom-tuned Linux with llama.cpp, Ollama, LM Studio, vLLM pre-installed. No configuration needed.
Zero cloud dependencies. Your data never leaves your infrastructure. HIPAA-ready.
Wikipedia, documentation, code repositories. RAG-ready. Works without internet.
Professional AI Infrastructure
| COMPONENT | SPECIFICATION | DETAILS |
|---|---|---|
| CPU | AMD Ryzen 9 9950X | 16 cores / 32 threads @ 5.7GHz boost |
| RAM | 256GB DDR5-6000 | 4x 64GB, CL30, dual-channel |
| Storage | 4TB NVMe PCIe 4.0 | Sequential read: 7,300 MB/s |
| Motherboard | B650E / X670E | PCIe 5.0, USB4, 2.5G LAN |
| PSU | 850W 80+ Gold | Modular, silent operation |
| Cooling | 280mm AIO / Air | Sub-70°C under full load |
| OS | Custom Linux | Optimized kernel, pre-configured |
| Software | AI Stack Included | llama.cpp, Ollama, LM Studio, vLLM |
Consistent 40 tokens/sec on Llama 70B
Zero latency overhead. No network delays. No API rate limits.
Full speed, every request, unlimited usage.
Pre-Loaded AI Models Ready to Run
Matches GPT-4 performance. 40 tokens/sec. Best balance of speed and intelligence. Runs on 256GB systems.
Outperforms GPT-4 on benchmarks. 128K context. Requires 203GB+ RAM. Only runs on systems Mac Studio can't match.
Beats GitHub Copilot. Full-stack development. Optimized for code generation and debugging.
Most advanced open model. Beats GPT-4 on reasoning. Requires 512GB system. 2-3 tokens/sec.
Multi-language expert. Excellent for international applications. Fast and efficient.
Run multiple simultaneously. Blazing fast responses. Perfect for specialized tasks and testing.
Calculate Your Savings
Professional AI Hardware Systems
Cloud AI is expensive, slow, and forces you to send your data to third parties. Mac Studio costs $7,000 but maxes out at 192GB RAM - insufficient for 405B models. DIY local AI requires months of configuration, testing, and troubleshooting.
Complete local AI infrastructure delivered ready to use. Hardware, OS, models, and knowledge base pre-configured and tested. Unbox, power on, and start building in hours instead of months. No cloud fees, complete privacy, and performance that beats systems 3x the price.
Get Started with Local AI