Extreme Precision: How FP4 Transforms Neural Network Memory Efficiency

As neural networks expand to billions of parameters, memory consumption becomes the critical bottleneck. FP4 addresses this directly: by compressing numbers to just 4 bits while preserving dynamic range, it enables models to fit significantly more parameters in the same memory footprint. With industry support from NVIDIA, this extreme quantization standard is essential for scaling AI systems efficiently.