Local LLMs
Execute an LLM within a DaDesktop environment rather than directing prompts to an external API. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and other data remain confined to the desktop environment. Costs are based on the desktop usage rather than per-token consumption.
Reasons to run LLMs locally
- Maintain data privacy: Your prompts, files, and other data remain securely within the DaDesktop environment.
- Eliminate per-token expenses: Utilize DaDesktop's GPU infrastructure without incurring API charges for individual requests.
- Select your model: Choose the specific model you wish to deploy and customize its configuration.
- Manage independent workloads: Access the model directly from the desktop, integrating it with other applications and tools.
AI agents
Deploy agents that leverage local models to accomplish tasks and interact with tools.
Coding
Leverage local models to support coding, development, and testing processes.
Research and experimentation
Utilize models for research, analysis, and experimenting with various models and configurations.
Operational overview
Select a DaDesktop GPU desktop, load your chosen model, and execute it locally. GPU passthrough 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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