Local AI Systems for Business
Corvonix provides professionally configured local AI systems for businesses that require secure, high-performance AI infrastructure with greater control over privacy, performance, and long-term costs.
Developer / startup / first AI deployment
Specifications
- AMD Ryzen Threadripper PRO 7975WX
32C / 64T - ASUS Pro WS WRX90E-SAGE SE
- NVIDIA RTX 5000 Ada
32GB VRAM - 192GB DDR5 ECC RDIMM
6×32GB - 2TB Samsung 990 PRO NVMe Gen4
- Noctua NH-U14S TR5-SP6
- Workstation DT chassis
- Corsair RM1200x SHIFT 1200w Platinum PSU
- Onboard 2.5GbE
Software deployment
- Ubuntu LTS
- NVIDIA Drivers
- CUDA
- Docker
- Ollama
- Open WebUI
- Run AI locally with full control over your data
- Lower long-term costs compared to ongoing cloud AI usage
- Professional NVIDIA GPU performance for modern AI workloads
- Quiet workstation design suitable for office or studio environments
- Pre-configured and ready to run from day one
SME / Production AI / Multi-User Deployment
Specifications
- AMD Ryzen Threadripper PRO 7995WX
96C / 192T - ASUS Pro WS WRX90E-SAGE SE
- NVIDIA RTX 6000 Ada
48GB VRAM - 384GB DDR5 ECC RDIMM
6×64GB - 2TB Samsung 990 PRO NVMe Gen4
- Noctua NH-U14S TR5-SP6
- Supermicro Rackmount or workstation DT
- Corsair HX1500i
1500W Platinum - Intel X550-T2
Dual-port 10GbE
Software deployment
- Ubuntu LTS
- NVIDIA Drivers
- CUDA
- Docker
- Ollama
- Open WebUI
- NVIDIA Container Toolkit
- Business-grade AI infrastructure designed for continuous production workloads
- High-VRAM GPU platform capable of larger and more demanding AI models
- Supports multiple users and concurrent AI workloads efficiently
- Enterprise-grade reliability with ECC memory and professional components
- Scalable platform ready for future storage, networking, and AI expansion
High-Performance AI / Research / Large-Scale Local Inference
Specifications
- AMD Ryzen Threadripper PRO 7995WX
96C / 192T
32C / 64T - ASUS Pro WS WRX90E-SAGE SE
- 2× NVIDIA RTX 6000 Ada
96GB combined VRAM - 768GB DDR5 ECC RDIMM
12×64GB - 2× 4TB Samsung 990 PRO NVMe Gen4
- 2× 7.68TB U.2 Enterprise SSD
- Noctua NH-U14S TR5-SP6
- Supermicro 4U GPU chassis
- Dual redundant 2000W Platinum PSU
- 25GbE NIC
(Mellanox ConnectX-4/5)
Software deployment
- Ubuntu LTS
- NVIDIA Drivers
- CUDA
- Docker
- Ollama
- Open WebUI
- NVIDIA Container Toolkit
- Multi-GPU configured
- Maximum single-node AI performance before moving to clustered infrastructure
- Dual-GPU architecture for larger models and accelerated inference workloads
- Massive memory and storage capacity for advanced AI environments
- Rackmount-ready platform designed for datacentre and enterprise deployment
- Optimised for intensive AI research, training, and high-concurrency workloads
What can Corvonix systems run?
Local LLMs
Run modern large language models privately in-house.
GPU Compute
Accelerate AI, rendering, and machine learning workloads.
Automation
Power AI-driven workflows and internal tooling.
AI Assistants
Deploy internal AI chat systems for teams.
Document Analysis
Search, summarise, and process business documents locally.
AI Dev
Run coding assistants and local development environments.
What's included?
Every Corvonix system includes:
- Ubuntu LTS pre-installed
- NVIDIA drivers + CUDA configured
- Docker environment configured
- Ollama installed
- Browser-based AI interface
- Burn-in tested hardware
- Cable-managed internal build
- UK-based deployment and support
Why Corvonix?
Standardised Platforms
Enterprise Hardware
Local AI Focus
UK-Based Integration
F.A.Q
What models can these systems run?
Corvonix systems are designed to run a wide range of modern AI workloads locally, including large language models (LLMs), AI assistants, document analysis, automation tools, and GPU-accelerated applications. Supported workloads vary by system tier, with higher-end platforms capable of handling larger models and greater concurrent usage.
Can systems be upgraded?
Yes. Corvonix systems are built on scalable workstation and server platforms with support for memory, storage, networking, and GPU expansion depending on the model selected.
Do they ship configured?
Yes. Every system ships pre-configured with Ubuntu LTS, NVIDIA drivers, CUDA, Docker, Ollama, and a browser-based AI interface, allowing you to begin running local AI workloads immediately after deployment.
What support is included?
All systems include hardware support and deployment guidance. Systems are fully assembled, validated, and burn-in tested prior to delivery. Additional deployment or managed support options may also be available depending on your requirements.
How long does deployment take?
Typical deployment time is between 5–10 working days depending on system specification and component availability. Larger or more specialised configurations may require additional lead time.
Not Sure Which System Fits Your Workload?
We help businesses choose practical AI infrastructure without unnecessary complexity.