The Bloomberg piece also cites an April report from the International Energy Agency, which estimated that globally data centers consume about 560 billion liters of water annually and that could rise to about 1,200 billion liters by 2030. 15/ https://
iea.org/reports/energy
-and-ai
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COMPUTING
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Data Centers Water Consumption Projected to Double by 2030
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AI data centers surge 70% in water-scarce US regions
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“More than 160 new AI data centers have sprung up across the US in the past three years in places with high competition for scarce water resources, according to a Bloomberg News analysis…That’s a 70% increase from the prior three-year period.” 13/
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Data Centers in Water-Stressed Regions Reach Record High
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“The proportion of data centers in water-stressed regions is at a record high.” 12/
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Gemini 3 Pro Benchmarks Break Records
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Gemini 3 Pro benchmarks are wild – Humanity’s Last Exam: 37.5%
– ARC-AGI-2: 31.1% True SOTA -
DA3 as feed-forward 3D Gaussian splatting outperforms specialized models
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And then the wild part DA3 becomes a feed-forward 3D Gaussian splatting engine. Add one head.
No optimization loops.
Just straight image → 3D Gaussians → novel views. DA3-based 3DGS outperforms every specialized model. -
DA3 beats VGGT and Pi3 across all geometry benchmarks
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The numbers are insane. DA3 beats VGGT and Pi3 across every geometry benchmark: → HiRoom
→ ETH3D
→ DTU
→ 7Scenes
→ ScanNet++ Pose accuracy. Reconstruction accuracy. Depth consistency.
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DA3’s universality: one model handles depth, geometry, pose, and splatting
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DA3’s biggest flex isn’t accuracy, it’s universality. One model handles monocular depth, multi-view geometry, pose estimation, and even 3D Gaussian splatting without changing the backbone. Just adaptive cross-view attention + a dual-DPT head. This is what “simple architecture,
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Single Vanilla Transformer Outperforms All SOTA 3D Models
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Holy shit… a single vanilla transformer is outperforming every SOTA 3D model. Depth Anything 3 just rewired 3D perception. A single plain transformer no fancy architecture now reconstructs full 3D geometry from any set of images. One photo, 18 photos, posed or unposed, it
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Metis AI Edge Computing Live Demo at SEMI Europa
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Live demos. Real inference. No smoke and mirrors. Giuseppe, Manuel & Stella are at Booth B1533 @SEMIEurope — stop by and see what Metis can do at the edge. #EdgeAI #MetisAIPU #SemiconEuropa #AxeleraAI
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GPUs Dominate Top 500 Supercomputers: NVIDIA Powers 78%
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The great flip: Today, over 85% of the TOP100 HPC systems use GPUs, not just CPUs, turning the 2019 landscape upside down when CPU-only systems made up 70%. NVIDIA now powers 78% of the @top500supercomp list. With 388 systems — 218 GPU-accelerated systems and 362 systems