Success StoriesLinked Helper | LinkedIn automation tool for lead generationIntegration time: 2 weeks
Problem: High costs of LLM when working with large amounts of data
Solution: Deploying your own LLM reduces costs by up to 10x
AI model before: ChatGPT
AI model after: Qwen
Problem:Linked Helper was using ChatGPT to write lead generation emails and process large databases. As the data volume grew, API costs became critically high — around $30,000 per month, which was unsustainable for long-term business scaling.Solution:By partnering with GPU.Business, Linked Helper implemented a comprehensive solution to reduce AI costs and accelerate data processing:- Deployment of a custom LLM on a virtual GPU server: Instead of ChatGPT, they started using the open LLM Qwen, which performs the same tasks — database processing and lead generation email writing.
- Data optimization and caching: The system was configured so that frequently repeated requests are not processed multiple times, reducing server load and costs.
- Training the model on internal data: Qwen was adapted to Linked Helper’s specific workflows, improving email accuracy and automation efficiency.
Results:- Costs reduced from ~$30,000 to $12,000 per month, with further reduction possible through optimization
- Full integration completed in just 2 weeks, without interrupting ongoing processes
- High-speed processing of large databases allowed Linked Helper to scale lead generation automation efficiently
Touchpoints with GPU.Business:- Provides ready-to-use solutions for running LLMs on GPU without deep technical knowledge
- Full support throughout the process — from model selection to optimization on your data
- Enables cost control and scalable AI processes as the business grows
Conclusion:Switching to a custom LLM allowed Linked Helper to save up to 10x on AI costs, accelerate data processing, and improve lead generation automation. With GPU.Business, they gained a reliable, scalable, and fully manageable solution for their business.