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Transpilers are very tricky. We started working on this initially at 8090 but had to pivot - it was really hard without access to the core chip. One hyperscaler gave us this access but it still wasn’t enough. Pytorch is v tricky and hyper optimized for Nvidia silicon. We likely would have overcome it but it was impossible to get things moving quickly. I hope Google finds more success.

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$GOOGL is working on TorchTPU to enable PyTorch models to run directly on its TPUs. The joint effort with $META aims to lower switching costs and give AI teams more flexibility in infrastructure choice. https://t.co/mmPz5iKiKT

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