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by choppaface
567 days ago
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The result is minor AND Google spent a (relative) lot of money to achieve it (especially in the eyes of the new CFO). Jeff Dean is desperately trying to save the prestige of the research (in a very insular, Google-y way) because he wants to save the 2017-era economically-not-viable blue sky culture where Tensorflow & the TPU flourished and the transformer was born. But the reality is that Google’s core businesses are under attack (anti-trust, Jedi Blue etc), the TPU now has zero chance versus NVidia, and Google is literally no longer growing ads. His financing is about to pop in the next 1-2 years. https://sparktoro.com/blog/is-google-losing-search-market-sh... |
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If anything, now is the best time for TPU to grow and I'd say investing in TPU gave Google an edge. There is no other large scale LLM that was trained on anything but NVIDIA GPUs. Gemini is the only exception. Every big company is scrambling to make their own hardware in the AI era while Google already has it.
Everyone I know who worked with TPUs loves how well they scale. Sure Jax has a learning curve but it's not a problem, especially given the performance advantages it gives.