Fully Local AI Deployment
Cohere’s North Mini Code for agentic coding and other current Canadian open-weight models selected for each workload, running on computers you own. Local or fully isolated deployment supports Canadian data sovereignty and reduces dependence on foreign AI clouds.
Using a closed cloud AI service sends prompts, code, and designs outside your environment. Retention and training terms vary by provider, plan, and contract. Local or fully isolated deployment keeps proprietary work from being transmitted to an external model provider. With Canadian models running on Canadian-controlled infrastructure, organizations can also keep more of their data, operations, and AI capability under Canadian control.
Canadian Control, Leading Open Weights
We begin with Canadian open-weight models to keep more AI expertise, intellectual property, and strategic capability in Canada. When another model is the better fit, we can deploy leading current open weights on Canadian-controlled infrastructure while keeping your data and operating continuity under your control.
Canadian Control
We begin by evaluating Canadian open-weight models, then benchmark other options when the workload requires a different fit. Running the selected model on Canadian-controlled infrastructure keeps more data, expertise, operating continuity, and decision-making authority under Canadian control. Sovereignty also depends on licensing, infrastructure, data handling, and governance.
North Mini Code
Cohere’s compact Apache 2.0 open-weight model is built for agentic software engineering, code generation, repository work, and terminal tasks. Its efficient mixture-of-experts design makes agentic coding practical on locally controlled hardware. View on Hugging Face →
GLM 5.2
Currently ranked the leading open-weight model on the Artificial Analysis Intelligence Index, GLM 5.2 combines an MIT license, a 1-million-token context window, and strong long-horizon agentic, coding, and reasoning capability. Its 744B-parameter mixture-of-experts architecture requires substantial hardware, so we size the deployment to the workload and available infrastructure. View on Hugging Face →
Run on Your Own Hardware
Choose Apple, Intel, AMD, or NVIDIA systems sized for your workload, number of users, and performance requirements.
Servers & Workstations
We can use hardware you already own or specify a new workstation or server for your chosen models. Deployments range from a single-user workstation to server-class, multi-GPU systems for entire teams.
Linux, Windows & macOS
Production inference can run on Linux, Windows, or macOS, from an Apple Silicon workstation to bare-metal and virtualized servers. Fully offline and physically isolated configurations are available when data must remain inside your environment.
Apple, Intel, AMD & NVIDIA
We optimize inference for Apple Silicon with MLX and Metal, Intel processors and accelerators, AMD with Vulkan and ROCm, and NVIDIA with CUDA. We size, quantize, and shard open-weight models for the hardware you own or specify the right system for the models you want.
Inference Runtimes & Model Management
Inference runtimes execute and serve the models. Model-management tools make them easier to download, configure, update, and expose through local APIs.
vLLM, MLC LLM, llama.cpp & MLX
vLLM serves high-throughput team workloads, while MLC LLM creates optimized runtimes across different devices. llama.cpp runs quantized models across common hardware, and MLX optimizes local inference on Apple Silicon. We select the runtime for the model, operating system, hardware, and number of users.
LM Studio, Ollama & Lemonade
These tools simplify model downloads, configuration, updates, and local serving. LM Studio provides a desktop GUI around runtimes such as llama.cpp, Ollama offers command-based model management and APIs, and Lemonade provides local setup and AMD acceleration.
Agentic Workflows
Turn local models into practical tools and controlled automation: private chat and knowledge, coding and business agents, and secured autonomous workflows.
Private Chat & Knowledge
Open WebUI gives your team a familiar multi-user chat with per-user access control. It can connect local models to approved documents, code repositories, vector databases, business tools, and private memory without sending that context to an external model provider.
Coding & Business Agents
OpenAI-compatible APIs let OpenClaw, Hermes agents, Claude Code, Codex, and internal business agents use models running on your hardware. Existing workflows can move from hosted AI to local models without rebuilding the whole toolchain.
Controlled Autonomous Work
We harden agent pipelines with prompt-injection defenses, least-privilege tool permissions, sandboxing and allowlists, audit logs, and human approval gates for consequential actions. Agents can automate useful work without receiving unrestricted access to everything around them.
Ready to get started?
Tell us about your environment, we’ll design a deployment that keeps your data yours.