Making your self-hosted LLM production-ready

I wanted to host Gemma 431B and had an H100 GPU with 80 GB of VRAM. The math looked straightforward: 31 billion parameters × 2 bytes per parameter ≈ 62 GB, making the H100 a great fit for my model.