Local LLMs
Execute LLMs directly within a DaDesktop environment, eliminating the need to route prompts through external APIs. The model operates on DaDesktop’s dedicated GPU infrastructure, ensuring that your prompts, files, and other data remain entirely within the desktop environment. Instead of paying per token, the cost is tied to the desktop usage itself.
Benefits of Local LLM Execution
- Enhanced Data Privacy: All prompts, files, and sensitive data are confined to the secure DaDesktop environment.
- Elimination of Per-Token Costs: Leverage DaDesktop’s GPU infrastructure without incurring API fees for individual requests.
- Model Autonomy: Select the specific model you require and fully control its configuration settings.
- Custom Workload Integration: Interact with the model directly from the desktop, seamlessly alongside other applications and tools.
AI Agents
Deploy agents that utilize local models to execute tasks and integrate with external tools.
Coding
Leverage local models to assist with code development, debugging, and testing processes.
Research and Experimentation
Utilize models for in-depth analysis, research, and the evaluation of various configurations.
Operational Overview
Select a DaDesktop GPU instance, load your chosen model, and initiate local execution. GPU passthrough technology grants the desktop exclusive access to a physical GPU, optimizing performance for LLM workloads. Detailed comparisons of available GPUs, specifications, and supported configurations can be found on the GPU page.
Start Your Free Trial Today
Run seamless virtual IT training with cloud-based labs, no downtime, just scalable learning that works.