fair point that the contracts aren’t long term, but it still doesn’t speak well for their confidence in their original scaling hypothesis if they can’t find something useful to do with 330,000 H100s.
AI HARDWARE
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xAI/SpaceX becomes neo-hyperscaler for frontier AI compute
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xAI/SpaceX is increasingly becoming an AI infrastructure player, potentially one of the most important „neo-hyperscalers” for frontier AI compute. Grok is good, but its user base remains comparatively small. In that sense, repurposing Colossus to rent out compute capacity is a
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Elon Musk, deemed crazy, sees Google rent Colossus for $1B monthly
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Incredible! Elon Musk, considered "crazy" by industry "experts," takes it all. Again. GOOGLE signs and asks ELON MUSK to use Colossus to run their AI for $1 billion per month. This announcement follows Anthropic, creator of the AI
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Power limiting reduces inference performance by 10% but saves 50% electricity
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Power limited* not throttled Performance loss is negligible, around 10% in inference but I save 50% in electricity
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AI glasses that erase real images
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#AI Sunglasses That Can “Erase” You From Real-World Footage
— Ronald van Loon (@Ronald_vanLoon) 6 juin 2026
by @gigadgets_#EmergingTech #Innovation #Technology #Tech pic.twitter.com/TloGKuYyIQ#AI glasses that can 'erase' real images for you
by @gigadgets_ #EmergingTech #Innovation #Technology #Tech -
CEO Rodrigo Liang discusses heterogeneous AI systems and token speed on CNBC
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On CNBC, our CEO @RodrigoLiang talks about the future of heterogeneous AI systems, why token speed and energy efficiency matter for agentic inference, and what’s ahead for us over the next 12 months
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Speed comparison between Gemini 3.5 Flash and Kimi K2.6 on Cerebras
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Google just released its fastest model: Gemini 3.5 Flash. We directly pitted it against Kimi K2.6 on Cerebras. Both are equal in intelligence, but what about speed? Full benchmark results: https://cerebras.ai/blog/which-is-faster-gemini-3-5-flash-or-kimi-k2-6-on-cerebras
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tt-vscode-toolkit: interactive learning environment
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Introducing tt-vscode-toolkit, an interactive learning environment designed to accelerate developing on Tenstorrent hardware. The toolkit brings project templates directly into VS Code, with lessons covering model deployment, agent frameworks, video generation, and more. Get
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EdgeRazor: AI Models Run on Phones via Mixed-Precision Quantization
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Wow, AI models can run on your phone without losing smarts! Researchers from Nanjing University and Microsoft AI present EdgeRazor — a lightweight framework that uses mixed-precision quantization-aware distillation. It assigns different bit-widths to different parts of the
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Sarvam AI builds full-stack ‘Made in India’ AI platform with NVIDIA H100 GPUs
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Sovereign AI at population scale isn’t theory anymore, it’s shipping. Sarvam AI is building a full-stack, “Made in India” AI platform that: Trains 100B+ parameter MoE models efficiently across 4,096+ NVIDIA H100 GPUs Delivers millisecond-level, multilingual voice