Your 2029 AI Capacity Plan Is About Three Times Too Big
A new AI data center capacity forecast expects hyperscalers to build 5.86 GW in 2029 against 18 GW announced.
Independent reporting on Kubernetes, cloud-native infrastructure, virtualization, storage, and security. For engineers and platform teams.
A new AI data center capacity forecast expects hyperscalers to build 5.86 GW in 2029 against 18 GW announced.
Amazon is in talks to buy Decart for about $7 billion. The prize is AI chip portability, software that lets a model leave Nvidia.
Modal crossed a $1 billion run rate selling inference cloud capacity. A third of it comes from sandboxes, not GPU hours.
Perplexity open-sourced its agent sandbox, SPACE, with a published escape test. Nine models ran 108 attempts. The VM held and the network policy broke.
QumulusAI, an AI neocloud, is billing on 7 megawatts of Blackwell capacity ten weeks after signing, with $523.4M in signed contracts.
Intel GPU D-series promotes 480 GB of LPDDR5X for inference. The card Intel itself sells carries 160 GB, and the gap decides the purchase.
AMD EPYC Verano is the first EPYC to carry LPDDR5X in SOCAMM2 modules, and server memory is now a rack power decision.
Nvidia pledged $250M in compute for UK agent safety research. The money funds the adversarial testing its own sandbox still needs.
PJM filed to review a ten-gigawatt Ohio AI campus as one integrated project, a new path around the data center interconnection queue.
AI infrastructure spending now runs about five trillion dollars ahead of the AI revenue that pays for it. On Wednesday the bond market priced the gap.
Independent analysis of cloud-native infrastructure, Kubernetes and data center economics. No vendor spin.