On-Device LLMs
Execute Large Language Models (LLMs) directly within a DaDesktop environment instead of routing prompts to external APIs. By leveraging DaDesktop's GPU infrastructure, you ensure that your prompts, files, and sensitive data remain contained within the desktop. This model-based pricing approach means you pay for the desktop resource itself rather than incurring per-token charges.
Benefits of On-Device Execution
- Data Privacy: All prompts, files, and associated data are retained strictly within the DaDesktop environment.
- Elimination of Per-Token Fees: Utilize DaDesktop's GPU capabilities without incurring additional API costs for every individual request.
- Model Autonomy: Select the specific model suited to your needs and maintain full control over its configuration parameters.
- Workload Flexibility: Deploy the model directly from the desktop, integrating it seamlessly with other applications and tools.
AI Agents
Deploy autonomous agents that leverage local models to execute tasks and interact with external tools.
Coding
Leverage local models to enhance coding assistance, software development, and testing processes.
Research and Experimentation
Utilize models for deep research, data analysis, and the evaluation of various model architectures and configurations.
Operational Overview
Select a DaDesktop GPU instance, load your chosen model, and initiate local execution. Through GPU passthrough, the desktop gains dedicated access to physical GPU resources specifically for LLM workloads. For details on available hardware, specifications, and supported configurations, please refer to the GPU page.
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