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.@Tim_cook brilliantly explains why @Apple chose China for manufacturing.
— Charly Wargnier (@DataChaz) 13 avril 2025
It’s NOT about cheap labor. China’s not cheap.
So why China?
It’s skill. It's precision. It's scale.
And no other country can match it. pic.twitter.com/rW23gXPIQT
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@Tim_cook brilliantly explains why @Apple chose China for manufacturing. It’s NOT about cheap labor. China’s not cheap. So why China? It’s skill. It's precision. It's scale. And no other country can match it.
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Google has never been good at marketing its products, but boy is it good at technology. Very bullish on Gemini, the Gemma line of open models, and the JAX/Keras/TPU stack
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Google quietly released a powerful recommender systems library optimized for JAX and TPUs, based on Keras. It's called RecML. It has native support for SparseCore (latest hardware for handling large distributed embeddings)
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The foldable phones are kinda compact in your pocket even though the screen looks awkward when unfolded Also makes using the Perplexity Assistant via voice feel like a different device even though it’s just a phone.
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L’Ironwood TPU est une claque technologique.
— VISION IA (@vision_ia) 12 avril 2025
C’est la 7e génération de puces IA de Google, conçue sur-mesure pour l’ère des LLM. Plus rapide, plus efficace, plus optimisée que les GPU traditionnels.
On parle d’une infrastructure taillée pour entraîner et faire tourner des IA… pic.twitter.com/rq4daqq8RS
L’Ironwood TPU est une claque technologique. C’est la 7e génération de puces IA de Google, conçue sur-mesure pour l’ère des LLM. Plus rapide, plus efficace, plus optimisée que les GPU traditionnels. On parle d’une infrastructure taillée pour entraîner et faire tourner des IA
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« L’humanité fera-t-elle un jour un entraînement de pré-apprentissage avec 10 millions de GPU ? »
— VISION IA (@vision_ia) 12 avril 2025
Le PDG d’OpenAI, Sam Altman, soulève la question :
« Il y aura 10 millions de GPU travaillant ensemble sur un système d’IA capable d’apprendre et d’exécuter des tâches. »… pic.twitter.com/3gZrqijwQQ
« Will humanity one day conduct a pre-training run with 10 million GPUs? » OpenAI CEO Sam Altman raises the question: « There will be 10 million GPUs working together on an AI system capable of learning and performing tasks. » However, the method could evolve: we would shift
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CEO of @googlecloud Thomas Kurian stopped by our booth at #GoogleCloudNext — a sign of our deepening partnership. Big news: Gemini is now available on-prem with Google Distributed Cloud, powered by NVIDIA Confidential Computing + Blackwell. https://
nvda.ws/4jthPDG
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@parasail_io just leveled up with SambaNova Cloud—delivering the fastest token speeds for real-time, low-latency processing! Learn more here
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The next industrial revolution is the AI factory — and it’s fueled by NVIDIA. The #AI factory is transforming how we work, create, and innovate — processing trillions of tokens, running real-time inference, and harnessing massive compute for models that generate – not just