Local LLMs
Operate an LLM within a DaDesktop desktop environment, eliminating the need to route prompts to external APIs. By leveraging DaDesktop's GPU infrastructure, the model runs locally, ensuring that your prompts, files, and other data remain securely contained within the desktop. This approach shifts the cost structure from per-token usage to a flat rate for the desktop itself.
Benefits of local LLM execution
- Enhanced data privacy: All prompts, files, and data remain isolated within the DaDesktop environment.
- No per-token charges: Utilize DaDesktop's GPU resources without incurring API fees for each request.
- Model autonomy: Select the specific model required and maintain full control over its configuration.
- Integrated workflows: Execute the model directly from the desktop, seamlessly alongside other applications and tools.
AI agents
Deploy agents that leverage local models to complete tasks and interact with various tools.
Coding
Leverage local models for coding support, development processes, and testing phases.
Research and experimentation
Utilize models for in-depth research, analysis, and the evaluation of different models and configurations.
How it works
Select a DaDesktop GPU-enabled desktop, load your desired model, and initiate local execution. GPU passthrough technology provides the desktop with direct, full access to a physical GPU, optimized for LLM workloads. You can review available GPUs, specifications, and supported configurations on the GPU page.
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