On-Premise Large Language Models
Execute large language models directly within a DaDesktop environment instead of routing your prompts to external APIs. The model operates on DaDesktop's dedicated GPU infrastructure, ensuring that your prompts, files, and sensitive data remain contained within the desktop ecosystem. This approach allows you to pay for the desktop instance itself, rather than incurring charges for every token processed.
Benefits of local LLM deployment
- Enhanced data privacy: All prompts, files, and associated data remain securely within the DaDesktop environment.
- Predictable costs: Utilize DaDesktop's GPU resources without the variable expense of per-token API fees.
- Model autonomy: Select specific models and have full control over their configuration and setup.
- Integrated workflows: Deploy models natively on the desktop, enabling seamless interaction with other applications and tools.
Autonomous agents
Deploy intelligent agents that leverage local models to execute tasks and interact with various tools.
Software development
Leverage local models for coding assistance, development workflows, and testing procedures.
Research & experimentation
Utilize models for deep research, data analysis, and testing diverse architectures and configurations.
Operational mechanics
Select a DaDesktop GPU-enabled instance, load your preferred model, and initiate local execution. GPU passthrough technology grants the desktop direct, exclusive access to a physical GPU, optimizing performance for LLM tasks. You can review available GPUs, technical specifications, and supported configurations on the GPU page.
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