Deep-dive analysis on GPU capacity markets, colocation, AI infrastructure, and the deals reshaping the space. Updated multiple times per week.
Grid delays and hyperscaler land grabs are reshaping the Tier III colocation market. Here's what enterprises and AI labs need to know now.
Grid delays and hyperscaler capex wars are reshaping GPU capacity markets. Here's what frontier labs, enterprises, and scaleups must do now.
Nvidia, Microsoft, and Google are locking up GPU capacity fast. Here's what frontier labs, enterprises, and scaleups must do now to secure compute.
Grid instability, local bans, and hyperscaler outages are reshaping where AI infrastructure gets built. Here's what clients must do now.
IREN pays $625M in stock for Mirantis, adding Kubernetes orchestration to its 1.4GW GPU footprint. What the deal means for AI infrastructure clients.
Hyperscaler wait lists are stretching into 2027. Here's how frontier labs, enterprises, and sovereign programs should source GPU capacity now.
Grid bottlenecks are forcing a rethink of AI infrastructure real estate. Here's what the latest data center power signals mean for your capacity strategy.
Gigawatt-scale pre-commitments and hyperscaler doubling bets are locking out mid-market AI buyers. Here's how smart clients secure GPU capacity now.
Hyperscalers are hitting hard capacity ceilings. Here's what frontier labs, enterprises, and sovereign programs should do about GPU and colo sourcing now.
Hyperscaler backlogs and gigawatt-scale pre-sold GPU deals signal a structural shift. Here's what AI labs, enterprises, and sovereign programs must do now.
Hyperscaler AI capacity is pre-sold at gigawatt scale. Discover how frontier labs, enterprises, and scaleups can still secure H100/H200/B200 GPU capacity fast.
OpenAI's 10GW land grab and Azure's $627B backlog are locking out other buyers. Here's how to secure Tier III colocation and GPU capacity before the window closes.
An executive-level comparison of every NVIDIA data center GPU — H100, H200, B200, B300, GB200, GB300, and Vera Rubin — with use-case grids for AI companies, enterprises, businesses, and sovereign operators.
Grid queues and cooling limits are the new GPU deployment ceiling. Here's what frontier labs, enterprises, and scaleups must do now to secure capacity.
Grid constraints, not GPU shortages, now define AI deployment timelines. Here's what Fortune 500 enterprises, frontier labs, and sovereign programs must know.
H100 to GB300: what reserved GPU capacity actually costs in 2026, how hyperscalers vs neoclouds compare, and how to negotiate better terms.
AI training cost models are breaking. Here's what the latest chip, power, and GPU market signals mean for infrastructure buyers in 2026.