Local LLMs
Execute a Large Language Model (LLM) directly within a DaDesktop instance rather than relying on external API calls. While the model utilizes DaDesktop's GPU infrastructure, your prompts, files, and associated data remain secured within the desktop environment. This model involves paying for the desktop instance itself, rather than incurring costs per token.
Benefits of local LLM execution
- Ensure data privacy: Prompts, files, and other sensitive data are retained entirely within the DaDesktop ecosystem.
- Eliminate per-token expenses: Leverage DaDesktop's GPU resources without incurring API fees for individual requests.
- Select and configure models: Choose the specific model that suits your needs and manage its configuration directly.
- Execute custom workloads: Utilize the model alongside other applications and tools directly from the desktop environment.
AI agents
Deploy agents that leverage local models to execute tasks and interact with various tools.
Coding
Leverage local models to support coding assistance, software development, and testing processes.
Research and experimentation
Utilize models for conducting research, performing analysis, and evaluating different models and settings.
Operational workflow
Select a DaDesktop GPU instance, load your desired model, and run it locally. GPU passthrough ensures the desktop has full access to a physical GPU, optimized for LLM tasks. You can review available GPUs, specifications, and supported configurations on the GPU page.
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