photo above and in this post are from our Stargate I site in Abilene:
AI HARDWARE
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Stargate Expansion Exceeds $500B Commitment with Oracle SoftBank
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we’re continuing to expand Stargate further, and expect to exceed the $500B commitment announced at the White House in January thanks to strong momentum with partners including Oracle and SoftBank.
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OpenAI Building 5 Gigawatts Stargate Compute with Oracle
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we’re building over 5 gigawatts of Stargate compute with Oracle:
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US AI Sector Needs 50 Gigawatts Power by 2028
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Training the world’s most capable AI models in the United States is a national security imperative. But this will take substantial investments in energy and computing power. We estimate America’s AI sector will need at least 50 gigawatts of electrical power by 2028.
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OpenAI and Oracle Launch 4.5GW Stargate AI Data Center Expansion
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It's official: we're developing 4.5 gigawatts of additional Stargate data center capacity with Oracle in the U.S (for a total of 5+ GWs!). And our Stargate I site in Abilene, TX is starting to come online to power our next-generation AI research.
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Stable Diffusion Models Now Supported AMD Ryzen 300
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Multiple Stable Diffusion models are now supported in Amuse 3.1 with @AMD Ryzen 300 Series processors! You can learn more here
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MIT handheld interface trains robots for manufacturing tasks
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A new handheld interface from MIT gives anyone the ability to train a robot for tasks in fields like manufacturing. The versatile tool can teach a robot new skills using one of three approaches: natural teaching, kinesthetic training, & teleoperation: https://
bit.ly/4nTAw6F -
Top robotics innovations: hot-swap humanoids and robot self-training
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Top stories in robotics today: – UBTech’s hot-swappable humanoid
– Robots grow by eating other robots
– China’s Unitree readies its IPO – MIT’s device lets anyone train robots
– Quick hits on other robotics news Read more: https://
robotnews.therundown.ai/p/robot-swaps-
its-own-battery-works-24-7
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Meta Plans Manhattan-Sized Data Center in Major AI Push
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Zuckerberg annonce que Meta va construire un centre de données de la taille de Manhattan dans sa nouvelle offensive sur l’IA ; ils prévoient d’y investir des centaines de milliards. LA taille de tout Manhattan… C’est dingue l’argent qui coule dans les data centers
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Energy-Aware Evaluation Framework for Large Language Models
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The Generative Energy Arena (GEA) Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations