Local AI Instance
Your AI. Your data. Your infrastructure. We deploy a fully private, sovereign AI stack on hardware you own or lease — running models custom-tuned to your organisation. No cloud. No shared compute. No data leaving your walls.
The Physical Machine
You receive the configured hardware — Mac Mini, AMD workstation, or NVIDIA node. It is yours. You own it outright. It ships pre-loaded with the QSSI software stack and your tuned models, ready to power on.
Tuned Models & Stack
We configure and fine-tune open-weight language models to your domain — your documents, your workflows, your terminology. The full inference stack (Ollama, vLLM, or custom runtime) is installed, benchmarked, and production-ready out of the box.
Use Your AI From Your Phone
Your instance connects to messaging platforms you already use — WhatsApp, Discord, and SMS — so you can query your AI from your phone over any network. The AI runs on your hardware at home or in the office; you interact with it anywhere.
Purpose-Built Applications
Your instance ships with QSSI-built applications that plug directly into your AI — a document intelligence tool, a scheduling agent, a private research assistant, and a knowledge base manager. Each app uses your local model as its engine. No external API calls.
Chat UI on Any Browser
A full ChatGPT-style web interface runs on your local network. Access it from any laptop, tablet, or phone connected to your WiFi — no app install required. Multi-user, conversation history, model switching, file uploads.
We Keep It Running
QSSI monitors uptime, pushes model updates, applies security patches, and provides dedicated support. You never have to think about the infrastructure. You just use the AI.
AI that lives inside your organisation
A Local AI Instance is a complete, production-grade AI deployment running on physical hardware located inside your building, your data centre, or a private co-location facility. It is not a cloud subscription. It is not a shared service.
QuantumindSSI selects, configures, and deploys the hardware. We tune the models to your domain. We wire up the interfaces your team actually uses — chat, API, document intelligence, agentic workflows. Then we hand you the keys.
Security is built in from the ground up. Every instance is hardened at the OS level, model weights are encrypted at rest, and network egress is locked down. You decide what connects to what. There are no background telemetry calls, no usage analytics leaving your hardware, and no vendor access without your explicit authorisation.
You own the data. You own the models. We run the infrastructure.
The gateway to Sovereign AI
The Local AI Instance is the entry point into QuantumindSSI's broader Sovereign AI arm. Every organisation that adopts local AI takes a step away from dependency on hyperscaler platforms — OpenAI, Google, Microsoft Azure — and toward owning their intelligence infrastructure.
This matters for compliance (GDPR, ISO 27001, NHS DSP Toolkit, defence classifications), for competitive moat (your training data doesn't fund your competitors), and for resilience (AI that works even when the internet doesn't).
The Local AI Instance scales from a single Mac Mini for a solo professional to a multi-node NVIDIA supercomputing cluster for a national institution. And as hardware evolves — through FPGA acceleration modules and direct-to-silicon ASIC units — your instance upgrades with it, without replacing the entire stack.
Consultation
We assess your team size, data types, latency requirements, and compliance constraints to specify the right hardware tier.
Hardware Procurement
We source and configure your Mac Mini, AMD workstation, or NVIDIA supercomputing node — pre-loaded with the QSSI software stack.
Model Tuning
We fine-tune open-weight models (LLaMA, Mistral, Qwen, or custom) on your domain knowledge, documents, and workflows.
Deployment & Access Setup
We deploy the instance and wire up every access channel — local web UI, WhatsApp bot, Discord bot, SMS gateway, and any proprietary apps included in your package. From day one you can chat with your AI from your phone over WhatsApp or Discord, just like messaging a contact.
Managed Operations
We monitor uptime, push model updates, handle security patches, and provide dedicated support. You focus on using your AI.
Mac Mini Instance
- Apple M4 Pro or M4 Max chip
- Up to 128GB unified memory
- Neural engine — up to 38 TOPS on-device
- Whisper-quiet, fanless or near-silent
- Runs 7B–70B parameter models locally
- Energy-efficient — <30W typical inference load
- macOS or Linux (Asahi) runtime
AMD Node Instance
- AMD EPYC server or Ryzen AI workstation
- AMD Radeon PRO W7900 / RX 7900 XTX GPU
- Up to 192GB ECC RAM + dedicated VRAM
- ROCm AI stack — fully open source GPU runtime
- Concurrent multi-user inference
- Runs 70B–180B parameter models
- Linux (Ubuntu / RHEL) hardened deployment
NVIDIA Supercomputing
- NVIDIA H100 / H200 / A100 GPU clusters
- DGX B200 or custom HGX server builds
- Petaflop-class AI compute on-premise
- Multi-tenant isolation — department-level segregation
- Full model training + fine-tuning capability
- Air-gap ready — no external connectivity required
- Post-quantum encrypted model weights at rest
Pick the AI-capable single-board motherboards that power your QSSI LocalAI deployment. The hardware is only the starting point — the QSSI moat is the assisted configuration, the orchestration of multiple agent harnesses, the ready-to-use domain solutions, and the continual reinforcement learning (with your explicit permission) backed by managed maintenance and support.
NVIDIA Jetson Nano
- 128-core NVIDIA Maxwell GPU
- 0.5 TFLOPS / 472 GFLOPS FP16
- 4GB LPDDR4 unified memory
- Small 3B models locally
- JetPack / CUDA runtime
- Ideal for classrooms and prototypes
NVIDIA Jetson Orin Nano
- 1024-core NVIDIA Ampere GPU
- Up to 67 INT8 TOPS
- 8GB LPDDR5
- 7B–13B quantised models locally
- TensorRT / CUDA / ONNX
- Compact carrier + passive cooling
NVIDIA Jetson Orin NX
- 2048-core NVIDIA Ampere GPU
- Up to 100 INT8 TOPS
- 16GB LPDDR5X
- 13B quantised models locally
- High-throughput vision + LLM
- Industrial carrier options
NVIDIA Jetson AGX Orin
- 2048-core NVIDIA Ampere GPU
- Up to 275 INT8 TOPS
- 64GB LPDDR5X unified memory
- 70B+ quantised models locally
- Full training / fine-tuning capable
- Enterprise carrier and 5G options
AMD Kria KR260
- Zynq UltraScale+ MPSoC
- Up to 1.4 TOPS AI Engine
- Industrial I/O and ROS2-ready
- Vitis AI / open-source runtime
- Real-time sensor fusion
- Designed for robotics and vision
AMD Ryzen AI Embedded
- AMD Ryzen AI x86 embedded
- Up to 39 TOPS NPU
- Standard x86 software ecosystem
- 7B–13B quantised models
- ROCm / ONNX runtime support
- Industrial PC and panel PC form factors
AMD Versal AI Edge
- Scalar + Adaptable + AI Engines
- Up to 123 TOPS INT8
- Hardware-programmable logic
- Custom inference pipelines
- Functional-safety capable
- Aviation / automotive / defence ready
ROCKCHIP RK3568
- Quad-core Cortex-A55
- 1 TOPS NPU
- Up to 8GB LPDDR4
- Small 1B–3B models locally
- Low-power 24/7 operation
- Best for sensor gateways and IoT
ROCKCHIP RK3576
- Quad-core Cortex-A72 + A53
- 6 TOPS NPU
- Up to 16GB LPDDR4X / LPDDR5
- 3B–7B quantised models locally
- 4K display and multi-camera ISP
- Industrial panel PC ready
ROCKCHIP RK3588
- Octa-core Cortex-A76 / A55
- 6 TOPS NPU + ARM Mali-G610
- Up to 16GB LPDDR4X / LPDDR5
- 3B–7B quantised models locally
- Linux / Android runtime
- Cost-effective enterprise edge
RADXA ZERO 3E
- Rockchip RK3566
- 1 TOPS NPU
- Up to 4GB LPDDR4
- 1B–3B quantised models locally
- HDMI + USB-C power
- Smallest QSSI LocalAI node
RADXA ROCK 3C
- Rockchip RK3566
- 1 TOPS NPU
- Up to 8GB LPDDR4
- 3B quantised models locally
- Rich GPIO and expansion headers
- Maker and SME friendly
RADXA ROCK 5C
- Rockchip RK3588S
- 6 TOPS NPU
- Up to 16GB LPDDR4X
- 3B–7B quantised models locally
- Compact form factor
- Active open-source community
RADXA ROCK 5B+
- Rockchip RK3588
- 6 TOPS NPU
- Up to 16GB RAM + M.2 NVMe
- 3B–7B quantised models locally
- Dual HDMI, 2.5GbE, PCIe expansion
- Full desktop / server replacement
Your LocalAI Build
Your selected boards are assembled into a single QSSI LocalAI quote. Beyond the hardware, every build includes assisted configuration, multi-agent harness orchestration, domain-specific solution packs, optional continual reinforcement learning (with your explicit permission), and ongoing managed maintenance.
- No motherboards selected yet.
WhatsApp Bot
Message your AI like a contact in WhatsApp. Send questions, documents, voice notes. Works on any phone, anywhere with data. The AI runs on your hardware — WhatsApp is just the interface.
Discord Bot
Add your AI to a private Discord server. Ideal for teams — multiple people can query the same instance in different channels. Slash commands, thread-based conversations, role-gated access.
Browser Chat
Full ChatGPT-style interface accessible on any device on your network. Upload files, switch models, manage conversation history. No install required — just open a browser.
QSSI Applications
Purpose-built apps for specific tasks — document analysis, scheduling, research, knowledge management. Each is powered by your local model. Installed on your hardware, owned by you.
OpenAI-Compatible API
Your instance exposes an OpenAI-compatible REST API on your local network. Drop it into any tool that already supports ChatGPT — and it routes to your private hardware instead of the cloud.
Your instance grows with the hardware
One of the key advantages of a QSSI-managed Local AI Instance is that it is built to accommodate hardware upgrades without disrupting your deployment. As the AI silicon landscape advances, your instance absorbs those gains.
We actively monitor FPGA module releases and direct-to-silicon ASIC developments — including inference-optimised chips from emerging fabs — and qualify upgrades before pushing them to production instances. You get better performance, lower power draw, and longer model context windows as the hardware matures, without re-procurement cycles.
FPGA Acceleration
Field-programmable gate array modules slot into existing hardware to accelerate specific inference operations — attention layers, tokenisation pipelines, and quantised weight lookups — at a fraction of the cost of a full GPU upgrade.
ASIC AI Modules
Purpose-built AI inference chips — direct-to-silicon ASIC units designed exclusively for LLM inference. Orders of magnitude more efficient than general-purpose GPUs for token generation, with near-zero idle power. The future of on-device AI compute.
Zero-Disruption Upgrades
QSSI manages all hardware qualification, compatibility testing, and live migration. Your users experience no downtime. Your models retain all fine-tuning. Your data never moves.
This is the beginning of Sovereign AI
The Local AI Instance is the first product in QuantumindSSI's Sovereign AI arm. Where the Victron hardware platform gives you sovereign edge computing, and Heimdall gives you sovereign embodied intelligence — the Local AI Instance gives you sovereign language intelligence.
Every AI decision your organisation makes will either strengthen or weaken your data sovereignty. We exist to ensure that organisations — from GP practices to government departments to global enterprises — never have to choose between powerful AI and owning their own intelligence.
Your data stays yours
Training data, queries, and outputs never leave your infrastructure. No opt-out required. No terms of service loopholes.
You own the weights
Fine-tuned model weights belong to you. We deliver them, you keep them. No licence revocation risk.
Hardware you control
Deployed on physical hardware in your possession. Runs on a power cut. Works without the internet. Survives vendor bankruptcy.
Built for regulated sectors
NHS DSP Toolkit, GDPR Article 25, ISO 27001, NCSC Cyber Essentials, and defence classification requirements.
No black boxes
Built on open-weight models you can inspect, audit, and modify. No closed-source AI dependencies.
AI that never goes down
Your instance doesn't depend on OpenAI's uptime, AWS availability zones, or any third-party SLA.
Intelligence should belong to the individual, not the corporation
The AI industry has replicated the same extractive model that defined social media and cloud computing — your data trains their models, their models generate their revenue, and you pay subscription fees for access to intelligence built on your own behaviour. QuantumindSSI exists to reverse that dynamic.
A Local AI Instance is not just a product. It is a statement of ownership. We serve local AI and fully agentic solutions on personal and organisational devices — reducing reliance on big tech for intelligence, cutting the cost of access, and putting the capability in the hands of the people who need it most.
Break from Big Tech
OpenAI, Google, Anthropic, and Microsoft charge for access to intelligence built largely on publicly created knowledge. Your local instance gives you equivalent capability — permanently — for the cost of the hardware.
Reduce Cost. Permanently.
Cloud AI subscriptions are recurring, unpredictable, and scale with usage against you. A local instance has a fixed hardware cost and zero per-token fees. For high-usage teams, the payback period is typically under 6 months.
AI that improves daily life
When AI runs on your device, it can be ambient — always available, always private, deeply personal. It manages your schedule, drafts your communications, surfaces what you need before you ask. Technology in close proximity improves how you live and work.
Fully agentic work
Proximity to agentic workloads — where AI plans, executes, and iterates autonomously — expands what a single person or small team can accomplish. Tasks that previously required dedicated staff can be delegated to your local agent stack permanently.
Technology literacy at first hand
Running AI locally forces meaningful engagement with the technology — model selection, context management, prompt engineering, hardware constraints. This builds genuine AI literacy that no cloud dashboard can provide. Users become practitioners, not consumers.
AI accelerates learning
AI is empirically shown to accelerate research, deepen comprehension, and expand the scope of what individuals can study independently. A local instance tuned to your personal knowledge base becomes the most capable study partner ever built — and it never shares what you're working on.
Clinical Document Intelligence
Summarise patient records, flag drug interactions, draft discharge letters — all on a GDPR-compliant on-premise instance that never touches a public cloud.
Private Contract & Case Analysis
Analyse contracts, case law, and privileged correspondence without any document ever leaving the firm's infrastructure.
Regulatory Compliance Copilot
Train your AI on FCA guidelines, internal policies, and transaction histories. Generate compliance reports and flag anomalies privately.
Classified Document Handling
Process OFFICIAL-SENSITIVE and above material on an air-gapped NVIDIA instance. Zero network egress. Post-quantum encrypted at rest.
Private Research Assistant
Embed your institution's unpublished research, datasets, and library into a local AI that helps researchers without leaking IP to commercial AI providers.
On-Floor Intelligence
Deploy AI on the factory floor — processing sensor telemetry, maintenance logs, and operational data entirely on-site with no cloud latency.
Personal AI on Your Own Hardware
Your own Mac Mini running a model tuned to your life — your notes, your projects, your calendar, your goals. No subscription. No data harvesting. An AI that works for you, not for an advertiser's algorithm.
Private Learning Companion
Load your textbooks, course materials, and research papers into a local RAG pipeline. Your AI tutor knows exactly what you're studying, adapts to your learning pace, and never sells your academic profile to anyone.
Ready to own your AI?
Book a free consultation. We'll assess your requirements, recommend the right hardware tier, and outline a deployment timeline.