Local LLMs

Execute an LLM within a DaDesktop environment, eliminating the need to send prompts to external APIs. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and data remain securely contained within the desktop environment. Billing is based on the desktop resource rather than per token.

Benefits of Local LLM Execution

AI Agents

Deploy agents leveraging local models to accomplish tasks and interact with tools.

Coding

Leverage local models for coding assistance, software development, and testing.

Research and Experimentation

Conduct research, perform analysis, and test various model configurations.

Operational Mechanics

Select a DaDesktop GPU instance, load your chosen model, and execute it locally. GPU passthrough provides the desktop with direct access to a physical GPU, optimized for LLM workloads. You can review available GPUs, specifications, and supported configurations 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.