Local LLMs
Operate a large language model directly within a DaDesktop instance, eliminating the need to transmit your inputs to external API services. The model execution is powered by DaDesktop’s GPU infrastructure, ensuring that your prompts, files, and associated data remain securely contained within the desktop environment. This approach shifts the cost model from per-token billing to a flat fee for the desktop resource itself.
Benefits of local LLM execution
- Enhanced data privacy: All your prompts, documents, and other sensitive data remain isolated within the secure DaDesktop environment.
- Elimination of per-token expenses: Leverage DaDesktop’s GPU infrastructure for model processing without incurring additional costs for each API request.
- Model autonomy: Select the specific model that suits your needs and retain full control over its configuration and parameters.
- Integrated workloads: Deploy the model directly from the desktop, allowing it to operate alongside other applications and development tools for seamless workflow integration.
AI agents
Deploy agents that leverage local models to autonomously complete tasks and interact with various tools.
Coding
Leverage local models to support coding assistance, software development, and rigorous testing procedures.
Research and experimentation
Utilize models for in-depth research, analytical tasks, and the comparative testing of different model architectures and configurations.
Operational overview
Select a DaDesktop GPU-enabled instance, load your preferred model, and initiate local execution. GPU passthrough technology grants the desktop exclusive access to physical GPU resources, optimized for LLM workloads. For detailed comparisons of available GPUs, technical specifications, and supported configurations, please refer to the GPU page.
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