Should you get your own local LLM?
Apr 10, 2024
Local or Cloud?
Pros of running everything on one LLM:
- Privacy and security - Running a local LLM allows you to keep your data and models within your own infrastructure, avoiding potential data leaks or security issues from using public cloud services.[1][2]
- Cost predictability - Maintaining your own local hardware can provide more predictable costs compared to the variable cloud usage fees.[2]
- Tailored accuracy - By fine-tuning a local LLM on your own data, you can improve the relevance and accuracy of the model for your specific business needs.[5]
- Faster response times - A local LLM can provide lower latency and real-time responses compared to cloud-based models, which is important for some applications.[2]
Cons of running everything on one LLM:
- Higher upfront costs - Setting up the necessary local hardware and infrastructure to run a powerful LLM can require significant initial investment.[2]
- Complexity and maintenance - Running an LLM locally involves more technical complexity and ongoing maintenance compared to using a cloud-based service.[2]
- Limited scalability - It may be difficult to scale a single local LLM to handle growing demands, unlike cloud platforms that can easily allocate more resources.[2]
- Access to latest models - Cloud providers typically offer access to the latest state-of-the-art LLMs, which may not be readily available in a local setup.[2]
- Potential for biases and hallucinations - Even a locally-trained LLM can exhibit biases and produce incorrect or nonsensical outputs, which requires careful monitoring and mitigation.[3]
In summary, running everything on a single local LLM can provide more control, privacy, and cost predictability, but also requires more upfront investment and ongoing maintenance. The optimal approach depends on the specific needs, resources, and expertise of the organization.[2][5]
Citations:
[1] https://www.reddit.com/r/LocalLLaMA/comments/13b8ij7/why_run_llms_locally/
[2] https://www.datacamp.com/blog/the-pros-and-cons-of-using-llm-in-the-cloud-versus-running-llm-locally
[3] https://www.computerweekly.com/feature/LLMs-explained-A-developers-guide-to-getting-started
[4] https://semaphoreci.com/blog/local-llm
[5] https://superwise.ai/blog/considerations-best-practices-in-llm-training/