Local LLMs
Execute a Large Language Model (LLM) within a DaDesktop environment, eliminating the need to transmit prompts to external APIs. The model operates on DaDesktop's dedicated GPU infrastructure, ensuring that your prompts, files, and sensitive data remain contained within the desktop. Your costs are based on desktop usage rather than individual token consumption.
The benefits of running LLMs locally
- Data privacy: All prompts, files, and associated data are kept secure within the DaDesktop ecosystem.
- Elimination of per-token fees: Utilise the GPU resources provided by DaDesktop without incurring API charges for each request.
- Model autonomy: Select the specific model you require and retain full control over its configuration.
- Integrated workloads: Interact with the model directly from the desktop, seamlessly alongside other applications and tools.
AI Agents
Deploy agents that leverage local models to automate tasks and interact with various tools.
Software Development
Harness the power of local models for coding assistance, development workflows, and testing.
Research and Experimentation
Apply models to research and analysis, enabling you to test different architectures and configurations.
Operational Overview
Select a DaDesktop GPU instance, load your chosen model, and execute it locally. GPU passthrough functionality ensures the desktop has unrestricted access to the physical GPU, optimised for LLM workloads. You can review available GPUs, specifications, and supported configurations on the GPU page.
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