Private AI Built for Your Business
Your data, your models, your hardware. On-premise AI deployment that keeps every byte inside your perimeter � engineered for the budget, footprint, and risk profile of a small or mid-sized business.
Hardware racked, networked, and validated by Remote Hand engineers; integration overseen by Expert Now IP-network and Linux specialists. Pay-as-you-go across 30+ US cities.
Why Private AI
Public AI services are powerful � but for clinics, law firms, manufacturers, financial advisors, and design studios, every prompt is a potential data leak. Private AI gives you the same capabilities behind your firewall: nothing leaves the building, nothing trains a foreign model, nothing is logged offsite.
01
Data Sovereignty
Customer records, contracts, source code, financials � they never leave your network. Meet HIPAA, SOC 2, GDPR, and client confidentiality clauses without negotiation.
02
Predictable Cost
No metered tokens. No surprise bills when usage scales. One capital purchase or a flat monthly hardware lease � your accountant will thank you.
03
Always-On, Low-Latency
No internet outage cripples your assistant. Sub-second response times on the LAN. Models are pinned to versions you control � no overnight behavior changes.
Hardware Solutions
Right-Sized Platforms for Every SMB
We don’t push the same rack at every customer. Pick the platform that fits your office, power budget, and model size. We size, source, install, and tune.
Apple Mac Studio
Silent Desktop Class
Up to 512 GB unified memory in a footprint that sits on a desk. Best fit for offices that need 70B-class models, no server room, and library-quiet operation.
- M-series Ultra, unified memory architecture
- Llama 3 70B, Qwen 72B, DeepSeek-V3 quantized
- Under 250 W typical, plug-and-play
NVIDIA Workstation
CUDA Performance Class
RTX 6000 Ada, RTX PRO 6000 Blackwell, or DGX Spark / Station class. The widest software ecosystem � every framework, every accelerator kernel, every fine-tuning pipeline.
- vLLM, TensorRT-LLM, NIM microservices
- Multi-GPU scaling, NVLink for 100B+ models
- Fine-tuning and RAG built in
AMD Workstation
Open Stack Class
Threadripper PRO with Radeon PRO or Instinct MI-series. ROCm has matured fast � strong price/performance for teams that prefer open tooling and no vendor lock-in.
- ROCm, llama.cpp, vLLM ROCm builds
- Up to 192 GB VRAM (MI300X) per accelerator
- Excellent CPU + GPU mixed inference
Intel Workstation
Mixed-Precision Class
Xeon W with Arc Pro or Gaudi accelerators. Strong choice when you need beefy CPU inference, OpenVINO acceleration on edge devices, or a familiar IT-managed platform.
- OpenVINO, IPEX-LLM, oneAPI
- Cost-effective small-model serving
- Familiar enterprise management tooling
From Local Models to Real Applications
A bare model on a workstation is just a research demo. We deliver a layered platform � open weights, serving runtime, retrieval, guardrails, and the application that your team actually uses on day one.
Foundation Layer
Curated open-weight models � Llama 3.x, Qwen 2.5, DeepSeek-V3, Mistral, Phi � sized to your hardware. Served by vLLM, Ollama, or LM Studio with health monitoring.
Knowledge Layer
Retrieval-augmented generation tuned to your documents � SharePoint, Google Drive, Notion, file shares. Your AI cites the source, every time.
Application Layer
Internal chat assistants, document Q&A, code copilots, voice transcription, image redaction, contract review � built on the same private foundation.
How We Engage
01
Assess
Workload sizing, data inventory, compliance constraints, network topology � captured in a free 60-minute discovery call.
02
Design
A fixed-fee architecture proposal: hardware bill of materials, model shortlist, application backlog, and a measurable success metric.
03
Deploy
On-site installation by certified engineers from our nationwide network, including racking, networking, and a 30-day burn-in.
04
Operate
Managed updates, model upgrades, monitoring, and pay-as-you-go remote-hands support � backed by GrossGate’s nationwide engineer pool.