
Compiling TensorRT Engines: The Calibration Trap
When aggressive INT8 quantization goes horribly rogue because of unrepresentative calibration data, and precisely how the blind pursuit of hyper efficiency can utterly destroy the end user experience.

When aggressive INT8 quantization goes horribly rogue because of unrepresentative calibration data, and precisely how the blind pursuit of hyper efficiency can utterly destroy the end user experience.

Explore how quantization and hardware co-design overcome memory bottlenecks, comparing NVIDIA and Google architectures while looking toward the 1-bit future of efficient AI model development.