Deep-dive analysis on GPU capacity markets, colocation, AI infrastructure, and the deals reshaping the space. Updated multiple times per week.
Anthropic's $65B raise, Europe's grid crisis, and the electrician bottleneck reveal why smart AI teams diversify beyond hyperscalers. XIRR explains.
Power, water, and skilled labor are now gating AI infrastructure faster than GPU supply. What clients must know before reserving capacity in 2026.
Grid access, skilled trades, and water limits are the new AI infrastructure constraints. What enterprises and labs must know about colo and GPU capacity now.
Electricians, cooling supply chains, and power contracts now delay AI infrastructure as much as GPU shortages. Here's what clients must do now.
Power constraints, municipal moratoriums, and cooling mandates are reshaping AI data center site selection. Here's what enterprises and frontier labs must do now.
GPU procurement is only part of the AI infrastructure equation. Here's why networking, power, and colo placement now define total cost of ownership.
Texas overtakes NoVa on power and land as inference demand pulls GPU deployments back to metro colo. What AI clients must know now about site selection.
Texas is overtaking Virginia, xAI is selling GPU capacity to rivals, and memory bottlenecks are reshaping cluster design. Here's the new procurement playbook.
HBM costs up 485%, xAI selling external compute, Texas overtaking NoVa. What every AI infrastructure client needs to know about GPU procurement right now.
Power constraints, soaring GPU costs, and hyperscaler land grabs are reshaping Tier III colocation markets. Here's what clients must act on now.
GPU availability is no longer the binding constraint. Power access is. Here's what that means for your AI infrastructure procurement strategy in 2026.
GPU supply is no longer the binding constraint for AI infrastructure. Power access is. Here's what colocation clients must know in 2026.
Hyperscaler capex hits $785B, power queues stretch years, and GPU rental prices compress. Here's what it means for your capacity strategy.
Post-approval grid delays now exceed years. Here's how frontier labs, enterprises, and sovereign AI programs should rethink colocation and GPU capacity strategy.
Silicon scarcity and interconnection delays are compounding into a dual constraint. Here's how frontier labs, enterprises, and scaleups should procure GPU capacity now.
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.