1TB MODEL ON A SINGLE H200

Summary from the TLDR AI newsletter

An INT4 quantization-aware training pipeline that enables rollout of ~1TB-scale models on a single H200 GPU. By combining fake quantization during training with real quantization at inference, it achieves BF16-level stability and opens a path to cost-efficient, high-performance deployment.