Vultr wants a billion dollars to prove that being early doesn't mean you win. Vultr, a 2014-vintage cloud provider backed by AMD, is raising at least $1 billion to compete in the AI compute arms race
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Arm just stopped being the plumber and started building the house. Arm launched its first AI chip, with Meta and OpenAI signed as initial customers, marking a shift from licensing designs to selling silicon.
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SK Hynix is going public in the US to raise capital for AI memory chips, and that tells you more about the agent economy's infrastructure demands than any VC pitch deck. SK Hynix plans to list shares in the US this year, seeking capital to meet AI's surging memory demand
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Arm just stopped being a blueprints company and became a chipmaker, and Meta is the reason why. Arm unveiled its first in-house CPU, the AGI CPU, designed for AI inference workloads, with Meta as both lead partner and co-developer
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Ten grand gets you a box that runs 70B models at 500 tokens per second on a standard wall outlet. Tenstorrent's QuietBox 2 packs four custom AI accelerators and 384GB total memory into a $9,999 desktop that draws 1,400 watts at full load
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Circle just planted its flag in Africa through an Nvidia-backed infrastructure play, and the real story isn't the stablecoin, it's the pipes. Circle partnered with Cassava Technologies, an Nvidia-backed African infrastructure company, to enable USDC transactions across the continent
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SK Hynix just committed $8 billion to ASML's most advanced chip tools, the largest memory equipment order in history, and it's a bet that AI's appetite for bandwidth will only get hungrier.
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Two US senators just asked Commerce to cut off Nvidia's AI chip pipeline to China, and the request tells you more about Washington's losing game than Beijing's buying patterns.
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Alibaba just announced a chip for agentic AI, and the real story isn't the silicon, it's who's no longer invited to the table. Alibaba launched a new chip targeting agentic AI and inference workloads, expanding its in-house semiconductor portfolio
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Jensen Huang just said the quiet part loud: AGI is here, and nobody agrees what that even means. Nvidia CEO Jensen Huang told Lex Fridman "I think we've achieved AGI" in a podcast statement that immediately reignited the tech industry's most circular debate
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Elon Musk is betting he can out-manufacture NVIDIA by vertically integrating chip production across Tesla, SpaceX, and xAI. Musk plans to manufacture custom chips for robotics, AI training, and SpaceX's orbital data centers, consolidating production across his empire
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Gimlet Labs just raised $80M to make your AI model chip-agnostic, and if they pull it off, NVIDIA's moat just got a lot narrower. Gimlet Labs closed an $80M Series A to build software that runs AI inference across NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix chips simultaneously
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Musk just announced he's building his own chip fab in Texas because TSMC and Samsung aren't moving fast enough for his AI ambitions. Musk unveiled Terafab, an Austin chip factory meant to supply SpaceX, xAI (which just merged), and presumably Tesla's robot push
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Nvidia just turned its competitors into customers. Nvidia unveiled server racks that run rival AI chips, including its own networking tech to connect them. The move shifts Nvidia's business model from pure chip sales to infrastructure gatekeeping.
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Sweden's H100 just signed a letter of intent to triple its bitcoin holdings and become Europe's second-largest corporate BTC treasury through pure bitcoin-for-bitcoin M&A. H100 signed LOIs to acquire Moonshot and Never Say Die, two bitcoin treasury companies, in deals structured entirely in BTC
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BlackRock's Larry Fink just said the quiet part out loud: AI wealth is concentrating, and if you're not invested, you're falling behind. BlackRock CEO Larry Fink warns AI boom risks widening wealth gap unless more people own stakes in companies capturing the value
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Korea's Upstage is buying 10,000 AMD AI chips, and the real story isn't the hardware—it's who's not selling them. Korean AI startup Upstage is negotiating with AMD to purchase 10,000 AI accelerators, aiming to build large-scale compute infrastructure domestically
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Hon Hai missed earnings but doubled down on AI server forecasts, and the gap between those two facts tells you everything about where we are in the infrastructure build-out.
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Nvidia is about to show us where the AI money is really moving: from teaching models to running them at scale. Nvidia will unveil new AI inference chips at GTC next week, targeting the shift in enterprise spending from model training to deployment
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Amazon just showed the world its $50 billion poker hand, and it's not about the models—it's about the silicon underneath them. Amazon opened its Trainium chip lab to press days after announcing a $50B investment in OpenAI, revealing the infrastructure play behind the partnership.
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