Serverless vs. Dedicated LLM Deployments: A Cost-Benefit Analysis

What I Learned

• Serverless vs Dedicated LLM deployment

• Proprietary vs Open-source models

• OpenAI-compatible APIs

• LLM cost analysis

• Self-hosting LLMs on GPUs

• LLM scalability and performance

• Throughput, Latency, and TTFT

• Data privacy in AI deployments

• RAG and compound AI systems

• GPU requirements (A100, H100, T4)

• LLM infrastructure management

• Autoscaling and scale-to-zero

• Hidden costs of self-hosting

• Inference optimization techniques

• Quantization for LLMs

• Prompt optimization

• Caching strategies

• Cost reduction methods

• LLM deployment decision-making

• AI infrastructure trends