Run Very Large LLMs Securely with RunPod Serverless
Blog post from RunPod
RunPod's serverless functions are particularly suited for deploying chatbots, offering advantages such as privacy, control, and cost-effectiveness compared to closed-source models from large providers like Anthropic and OpenAI. Utilizing open-source models like Llama 405b and Mistral Large on RunPod enables organizations to maintain tighter control over sensitive data, as these models allow for customization and fine-tuning without the risk of data being used for third-party training. Although setting up these large models requires significant VRAM and specific hardware configurations, RunPod provides a flexible and scalable environment with support for 4-bit or 8-bit quantization and offers cost savings over other API services. The platform is designed to democratize AI by securely handling data and providing users with the freedom to manage their AI models efficiently, with the potential for significant cost savings in processing requests compared to traditional LLM services.