Nvidia Drops $21B on SpaceX as AI Wars Move to Orbit
The chipmaker betting everything on AI just put $21 billion on space infrastructure, and that's not a diversification play.
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The chipmaker betting everything on AI just put $21 billion on space infrastructure, and that's not a diversification play.
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The chip maker that powers AI is now betting billions on the company launching its compute into orbit and the legacy giant it's supposed to be replacing. Nvidia disclosed a $21 billion stake in SpaceX and $30 billion in Intel, marking a strategic shift from pure chipmaker to infrastructure investor
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Nvidia just turned itself into a bank that only lends money to buy its own products, and Wall Street is calling it genius.
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The biggest software development tool you've never heard of just became a $60 billion weapon in the AI model wars. SpaceX closed its $60 billion acquisition of AI coding startup Cursor on Friday, finalizing a deal first announced in April and committed to in June
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While competitors scramble for scraps of compute, Nvidia is running two parallel roadmaps and might scrap one entirely. Nvidia's Rubin Ultra platform will pack 768GB of HBM4E memory, a massive jump aimed at training the next generation of AI models without memory bottlenecks
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The largest credit deal in tech history might also be the riskiest bet Wall Street has ever made on AI infrastructure.
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Nvidia just turned an acquisition into a perpetual revenue machine — buy the team, license the tech, then sell them the chips they once competed against.
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The hardware giants that survived the PC era's decline are now feasting on the infrastructure buildout for agent-first computing. Lenovo projects $100 billion in revenue this fiscal year, driven by enterprise AI infrastructure demand
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The falling cost of AI just proved it's not a commodity—it's electricity in 1910, and everyone just realized they can light up the whole factory. OpenAI cut GPT-5.6 Luna prices 80% and Terra prices 20%—usage exploded 14x and 5x respectively, driving revenue UP 34% and 45%
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NVIDIA just made the picks-and-shovels play for the agent economy — instead of selling you a frontier model, they're selling you the factory to build your own.
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The venture math on AI just got uncomfortably clear: one OpenAI bet can turn half a billion into nearly four billion in four years. Thrive Capital's 2022 early-stage fund turned $516 million into $3.7 billion by June 2026, driven primarily by an early OpenAI position
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The AI infrastructure bet is printing money so fast that even macro headwinds can't kill the rally. Japanese stocks climbed following record US equity gains after weaker producer-price data reduced Fed rate-hike fears, with AI chip shares leading the advance
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The SEC just blinked on the biggest tokenization framework in a decade, and Wall Street's fingerprints are all over the delay.
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When your customers can't afford your product anymore, you don't drop the price—you become their bank. Nvidia is now helping customers raise capital to buy its GPUs, effectively financing its own demand in a $500B bet on the AI buildout continuing
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Corporate treasurers who bought Bitcoin for inflation hedging are now writing checks for Nvidia GPUs instead. Bitcoin trades flat near $63,500 as U.S. Producer Price Index comes in softer than forecast, but underlying inflation pressures remain sticky despite mild July CPI
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You can't sandbox something that needs to email your CFO, join Slack channels, and access your CRM to do its job.
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Cerebras just proved you can beat earnings, raise guidance, unveil next-gen hardware, and still watch your stock crater 15% — welcome to the new reality where AI infrastructure investors care more about burn rate than benchmarks.
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The chip company that bet everything on being different just discovered that different doesn't mean predictable. Cerebras reported a decline in hardware revenue, a surprising reversal for the newly public company that builds AI computers with wafer-scale chips
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Cisco just turned in $9.3 billion in AI orders, then told Wall Street it'll only collect $7.5 billion this year — and that gap is the whole story of infrastructure lag in the agent economy.
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The machines that train AI are now being used as collateral, and nobody's quite sure what they're worth when the music stops.
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