On-Device LLMs
Execute a Large Language Model directly within your DaDesktop instance, bypassing the need to transmit prompts to external API services. The model leverages DaDesktop's internal GPU resources, ensuring that your prompts, documents, and sensitive data remain contained within the secure desktop environment. Instead of paying per token, you are billed solely for the desktop infrastructure itself.
The advantages of local LLM deployment
- Enhanced data privacy: Your prompts, files, and associated data remain strictly within the DaDesktop ecosystem, preventing external exposure.
- Elimination of per-token fees: Utilize the computational power of DaDesktop's GPU infrastructure without incurring charges for every individual API request.
- Full model control: Select specific models and retain complete authority over their configuration and parameters.
- Seamless workflow integration: Deploy models directly from your desktop, allowing them to operate alongside your other applications and tools for unified workloads.
AI Agents
Deploy autonomous agents that leverage local models to execute complex tasks and interact with various tools.
Software Development
Leverage local models to enhance coding assistance, streamline development processes, and improve testing efficiency.
Research & Experimentation
Utilize models for in-depth analysis, research purposes, and the evaluation of diverse model architectures and configurations.
Operational mechanics
Select a GPU-equipped DaDesktop instance, load your preferred model, and initiate local execution. GPU passthrough technology provides the desktop with exclusive access to a physical GPU, optimized specifically for LLM workloads. You can review available GPU options, technical specifications, and supported configurations on the GPU page.
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