On-Premise LLM Deployment
Execute LLMs within a DaDesktop environment to avoid relying on external APIs for your prompts. By leveraging DaDesktop's GPU infrastructure, you ensure that all your prompts, files, and data remain confined to your private desktop instance. Instead of incurring costs based on token usage, you simply pay for the desktop itself.
Benefits of local LLM execution
- Enhanced data privacy: Your prompts, files, and associated data are kept securely within the DaDesktop ecosystem.
- Cost efficiency: Utilize DaDesktop's GPU resources without facing variable API fees for every single request.
- Model autonomy: Select the specific models you wish to deploy and retain full control over their configurations.
- Integrated workloads: Operate models directly from your desktop, seamlessly alongside other applications and tools.
AI agents
Deploy agents that leverage local models to accomplish tasks and interact with various tools.
Coding
Leverage local models to support coding tasks, software development, and testing processes.
Research and experimentation
Utilize models for in-depth research, analysis, and the evaluation of different model architectures and configurations.
Operational overview
Select a GPU-enabled DaDesktop instance, load your chosen model, and initiate local execution. GPU passthrough technology grants the desktop exclusive access to physical GPU resources, optimizing performance for LLM workloads. You can review available GPUs, their specifications, and supported setups on the GPU page.
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