You'll see our IPU-M2000 system significantly outperforms the Nvidia A100 DGX across the board, with orders of magnitude performance improvements for some models. Graphcore customers are already making big leaps forward with our second generation IPU systems – whether they prioritise faster time to result, model accuracy, better efficiency, lower TCO (Total Cost of Ownership) or the chance to make new breakthroughs in AI with the IPU. We've chosen a range of the most popular models our customers frequently turn to as proxies for their proprietary production AI workloads in natural language processing, computer vision and more, both in training and inference. We are also delighted to share results in this blog using our new PyTorch framework support. We are continuing to develop and expand this capability – you can find out more in our blog here.