Local LLMs
Host your Large Language Model (LLM) directly within a DaDesktop environment, eliminating the need to route prompts to external APIs. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and data remain securely contained within the desktop. This approach allows you to pay for the desktop resource itself rather than incurring per-token costs.
Benefits of running LLMs locally
- Enhanced data privacy: Your prompts, files, and sensitive data stay strictly within the DaDesktop environment.
- Elimination of per-token fees: Utilize DaDesktop's GPU infrastructure without incurring charges for every API request.
- Model selection and control: Select the specific model you require and have full authority over its configuration.
- Custom workload execution: Deploy the model directly from the desktop, integrating it seamlessly with other applications and tools.
AI agents
Deploy agents that leverage local models to execute tasks and interact with various tools.
Coding
Leverage local models to assist with coding, development workflows, and testing.
Research and experimentation
Utilize models for deep research, data analysis, and the evaluation of different configurations.
How it works
Select a DaDesktop GPU instance, load your chosen model, and launch it locally. GPU passthrough provides the desktop with exclusive access to a physical GPU, optimized for LLM workloads. You can review available GPUs, their specifications, and supported configurations on the GPU page.
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