Use Cases

AI Model Deployment at Scale

• Ideal for deploying multiple AI models with minimal resource consumption.

• Enables companies to offer customizable AI assistants with distinct personalities or functions using different LoRA adapters.

Cost-Effective AI Serving

• Reduces the need for multiple GPU instances by serving thousands of fine-tuned models on a single GPU.

• Efficient memory utilization minimizes cloud infrastructure costs.

Personalization & Fine-Tuning

• Enables personalized AI models where users can fine-tune their own LoRA adapters and deploy them efficiently.

• Supports applications in chatbots, code assistants, and domain-specific NLP solutions.