Local LLMs
Execute LLMs within a DaDesktop desktop environment, eliminating the need to transmit prompts to external APIs. While the model utilizes DaDesktop's GPU infrastructure for processing, your prompts, files, and other data remain securely contained within the desktop environment. This model offers a flat-rate cost for the desktop usage rather than charging per token.
Benefits of running LLMs locally
- Enhanced Data Privacy: Ensure that all prompts, files, and data remain strictly within the DaDesktop environment.
- Elimination of Per-Token Fees: Leverage DaDesktop's GPU resources to run models without incurring additional API costs for each request.
- Model Autonomy: Select the specific model you require and maintain full control over its configuration settings.
- Integrated Workflows: Directly utilize the model within the desktop environment, seamlessly integrating it with other applications and tools.
AI Agents
Deploy agents that utilize local models to execute tasks and interact with various tools.
Coding
Leverage local models to support coding assistance, software development, and testing processes.
Research and Experimentation
Utilize models for in-depth research, data analysis, and the evaluation of different model configurations.
Operational Mechanics
Select a GPU-enabled DaDesktop instance, load your chosen model, and execute it locally. The system employs GPU passthrough to grant the desktop exclusive access to physical GPU resources, optimizing it for LLM workloads. Detailed comparisons of available GPUs, specifications, and supported configurations are available on the GPU page.
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