Local LLMs
Execute an LLM within a DaDesktop environment, eliminating the need to transmit your prompts to external APIs. The model operates on DaDesktop's GPU infrastructure, ensuring that your prompts, files, and other data remain securely contained within the desktop environment. Instead of paying per token, you are billed for the usage of the desktop itself.
Benefits of running LLMs locally
- Data privacy: Your prompts, files, and other sensitive data remain strictly within the DaDesktop environment.
- No per-token fees: Leverage DaDesktop's GPU infrastructure to run the model without incurring API costs for each request.
- Model flexibility: Select the specific model you wish to use and have full control over its configuration.
- Workload autonomy: Deploy the model directly from the desktop, integrating it seamlessly with other applications and tools.
AI agents
Deploy agents that utilize local models to accomplish tasks and interact with various tools.
Coding
Leverage local models for coding assistance, development workflows, and testing processes.
Research and experimentation
Utilize models for research, data analysis, and the testing of different models and configurations.
Operational overview
Select a DaDesktop GPU instance, load your chosen model, and execute it locally. GPU passthrough enables the desktop to access a physical GPU exclusively for LLM workloads. You can review available GPUs, their 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.