
BREAKING : Anthropic announced a plan to increase its compute capacity with up to 1 million TPUs as a part of a multi billion dollar deal with Google. “As we continue to push the boundaries of AI research and product development” It is happening

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BREAKING : Anthropic announced a plan to increase its compute capacity with up to 1 million TPUs as a part of a multi billion dollar deal with Google. “As we continue to push the boundaries of AI research and product development” It is happening
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Mapping the future.
— NVIDIA (@nvidia) 23 octobre 2025
NVIDIA GPUs help UC Santa Cruz researchers visualize flooding — and how nature-based solutions like reefs can save lives and coastlines. 🪸🌊
Learn more: https://t.co/1kse5PqpG3 pic.twitter.com/XG6rPpnHWN
Mapping the future. NVIDIA GPUs help UC Santa Cruz researchers visualize flooding — and how nature-based solutions like reefs can save lives and coastlines. Learn more: https://
nvda.ws/3WWFJhy

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Ok I love the US but every time I am back in Europe, you have to admit ‘it’ hands down wins on style and food. Even if not on AI infrastructure. Reminds me what the Mayor of Berlin used to say about his city, ‘Poor but Sexy.’

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A complete data lakehouse, now on your desktop. With watsonx․data developer edition, you get: ⚡️ Multi-engine support 🔐 Local data privacy 💡 Built-in path to production Start building here 👉 ibm.co/6013BzB0U

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@ChaseLochmiller and team @CrusoeAI are an unstoppable force that’s enabling the greatest infrastructure buildout of our lifetime. And it’s still early innings! $1.4b in fresh capital, let’s go!
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I miss bulletin boards. Random people would just teach you stuff.
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The philosophy of engineering is making things better.

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Elon Musk félicite le PDG de Google et déclare que le calcul quantique devient une réalité.

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Le PDG de Google annonce une percée majeure en informatique quantique… ça n’arrête plus, ça sort dans tous les sens ! traduction du tweet : "Nouvel algorithme quantique révolutionnaire publié aujourd’hui dans @Nature : notre puce Willow a atteint la première démonstration
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You can always make a batch large enough that the GPU stays busier than the CPU, but if you want to do hundreds or thousands of steps a second, CUDA graphs are really helpful. You should never be rebuilding graphs — the trick is to make sure the one graph you build at startup