On-Premise LLMs
Execute Large Language Models directly within a DaDesktop environment rather than relying on external APIs. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and data remain securely within the desktop environment. This approach shifts the cost model from per-token API fees to a flat desktop rental charge.
The benefits of on-premise execution
- Enhanced privacy: Your prompts, files, and data are contained entirely within the DaDesktop environment.
- Predictable costs: Utilize DaDesktop's GPU infrastructure without incurring variable per-request API fees.
- Model autonomy: Select and configure the specific models that best suit your needs.
- Integrated workflows: Deploy models directly from the desktop, integrating seamlessly with other applications and tools.
AI agents
Deploy agents powered by local models to automate tasks and interact with various tools.
Development
Leverage local models to streamline coding assistance, development processes, and testing cycles.
Research and experimentation
Utilize models for in-depth research, data analysis, and the evaluation of different configurations.
Operational overview
Select a DaDesktop GPU instance, load your preferred model, and execute it locally. GPU passthrough technology grants the desktop exclusive access to physical hardware, optimizing performance for LLM workloads. You can review available GPUs, their specifications, and supported configurations on the GPU page.
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