Local LLMs
Execute a Large Language Model directly within a DaDesktop environment, eliminating the need to route your prompts through external APIs. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and data remain securely contained within the desktop environment. This approach shifts the cost model from per-token API charges to a flat fee for the desktop itself.
Benefits of Running LLMs Locally
- Enhanced Data Privacy: All your prompts, files, and data stay within the secure boundaries of the DaDesktop environment.
- Elimination of Per-Token Costs: Utilize DaDesktop's GPU infrastructure without incurring separate API fees for each request.
- Model Selection Control: Select the specific model you wish to deploy and retain full control over its configuration.
- Integrated Workloads: Operate the model directly from the desktop, seamlessly integrating it with other applications and tools.
AI Agents
Deploy agents that leverage local models to execute tasks and interact with various tools.
Coding
Leverage local models for coding assistance, software development, and testing processes.
Research and Experimentation
Utilize models for in-depth research, analysis, and the testing of different configurations and model variants.
Operational Overview
Select a DaDesktop GPU instance, load your chosen model, and initiate local execution. Through GPU passthrough, the desktop gains direct access to physical GPU resources specifically optimized for LLM workloads. You can review available GPUs, technical specifications, and supported configurations on the GPU page.
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