A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes

8-bit quantization and bitsandbytes is the practical reality for scaling these models. It's not some gentle introduction; it's necessary optimization. We're not talking about theory; we're talking about reducing VRAM usage by 4x or more. It's the only way we can deploy models like BERT or ViT without requiring a $100k GPU cluster.

It bypasses the need for custom hardware like Gaudi for most deployments. This stuff is about making the impossible feasible on consumer-grade or accessible enterprise GPUs. Stop looking for exotic accelerators and start optimizing what you already have.