Local LLMs
Operate a Large Language Model within a DaDesktop environment rather than relying on external APIs for your prompts. The model executes on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and all associated data remain confined to the desktop environment. This model allows you to pay for the desktop instance itself, rather than incurring costs per token.
Benefits of running LLMs locally
- Enhance data privacy: All prompts, files, and related data are retained securely within the DaDesktop environment.
- Eliminate per-token expenses: Utilize DaDesktop's GPU infrastructure to run models without incurring API fees for each individual request.
- Model flexibility: Select the specific model that suits your needs and maintain full control over its configuration.
- Custom workloads: Integrate the model directly into your desktop workflow, allowing it to operate alongside 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 support coding tasks, development processes, and testing phases.
Research and experimentation
Utilize models for in-depth research, data analysis, and the testing of various models and configurations.
Operational mechanics
Select a DaDesktop GPU desktop, load your desired model, and execute it locally. Through GPU passthrough, the desktop gains full access to a physical GPU, optimized for LLM workloads. You can review the available GPUs, their specifications, and supported configurations on the GPU page.
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