Nvidia designs the GPUs that power most AI training and inference. This hub covers its chips, earnings, export controls, data center deals and competition.
219 briefs, newest first.
“The AI revolution isn't just scraping your data—it's actively making your seven-year-old streaming box 50% more expensive because data centers need the memory more than you do.”
“Promising massive sovereign compute capacity on paper is one thing, but actually securing and powering 20,000 next-generation GPUs during a global supply crunch is an entirely different game.”
“Selling the dream of an Nvidia killer to public markets is highly profitable for founders cashing out $240M right before their biggest client quietly pivots back to GPUs.”
“Nvidia is using its absolute hardware monopoly to print cash and immediately weaponizing it to buy equity in its captive customers, creating a closed-loop economy regulators are entirely unequipped to handle.”
“AI labs will spend billions on bleeding-edge neural net accelerators, but when it comes to the host system, nobody wants to beta test a glued-down motherboard just to keep their dominant supplier happy.”
“Forcing a gamer to sign a legal affidavit that doesn't even track the GPU's serial number is just retail theater to keep federal export agents off the store manager's back.”
“When a hyperscaler decides it would rather have $8B in cash than the most highly coveted AI silicon on the planet, it usually means the return on compute isn't matching the hype.”
“The hardware monopoly wants a quiet PR victory to keep the massive data center checks clearing, and Anthropic telling the truth about the technology threatens that entire political facade.”
“Everyone obsesses over buying enough GPUs to build a gigawatt-scale data center, but if your optical links can't dynamically route around the inevitable daily hardware failures, you just bought the world's most expensive brick.”
