Not too long ago, IBM Research included a third improvement to the combo: parallel tensors. The most significant bottleneck in AI inferencing is memory. Operating a 70-billion parameter design demands at the least 150 gigabytes of memory, approximately twice just as much as a Nvidia A100 GPU retains