AI Infrastructure
GPUs, silicon, data centres and the data platforms underneath.
When Infrastructure Bottlenecks Break the Memory Cycle
An analysis of how AI infrastructure demand is disrupting historical memory commodity boom-and-bust cycles, leading to prolonged scarcity and potential market instability. The findings detail the rapid revenue growth in the sector, the massive global fab investments, and the projected duration of the high-price environment.
The Great Enterprise Pivot: Why AI Cloud Infrastructure Companies in India and Global Firms Are Sacrificing Mainframe Stability for AI Hardware
Analysis of IBM's unexpected, preliminary Q2 2026 earnings results, which were negatively impacted by enterprise customers shifting IT budget from mainframes to AI infrastructure.
Alphabet’s TPU Hoarding and the Strategic Challenges Facing AI Cloud Infrastructure Firms in India
Analysis of Alphabet's Q2 2026 TPU allocation strategy, prioritizing internal AGI research over customer cloud demand, while examining what this means for industry definitions of Agentic AI and the broader infrastructure landscape.
Intelligent Routing: The Silent Moat for Enterprise AI Infrastructure
Analysis of 2.4B AI API calls showing how intelligent infrastructure routing in enterprise AI is replacing singular model standardization as the key to economic efficiency, compliance, and performance.
AI Cloud Infrastructure Companies in India and the Future of Network Scaling
An exploration of the Optical Compute Interconnect Multi-Source Agreement, the challenges of scaling infrastructure for future Agentic AI, and the global role of infrastructure players.
Surviving Kubeflow: Challenges for AI Cloud Infrastructure Companies in India
An analysis of the operational challenges of self-managing Kubeflow and the benefits of migrating to a managed infrastructure model, set against the rise of agentic AI.
Scaling the Open Frontier: Reflection AI’s $1B Compute Bet and the Global Infrastructure Scramble
Reflection AI has signed a $1 billion deal with Nebius to scale its open-source AI efforts, mirroring similar moves by other frontier AI labs to secure essential compute while navigating the competitive landscape of AI and cloud infrastructure.
Why Are People Against Data Centers? New York Just Said No.
New York’s unprecedented halt on large data centers reveals a national awakening: communities are no longer accepting AI infrastructure that drains their water, spikes their bills, and bypasses their consent.
Current AI Builds Open Public AI Infrastructure for All Languages and Cultures
A nonprofit racing to create free, open-world AI infrastructure that respects linguistic diversity and community data ownership.
AI Cloud Infrastructure Companies in India Are Betting on Workflows, Not Cloud Providers
The first question developers ask today isn't which cloud to use — it's which workflow gets them into production fastest. Docker, GitHub Copilot, Vercel, and AI coding agents are reshaping the developer first mile while hyperscalers fight for the second.
Cloud Outages Just Got Personal: What AI and Cloud Infrastructure Companies in India Need to Do Now
Major cloud outages at Google, AWS, and Azure are becoming routine. For AI and cloud infrastructure companies in India building agentic systems on top of these platforms, the stakes are higher than ever. Three concrete steps to stop being vulnerable.
The AI Compute Spending Gap: Why Your Organization Can't Afford to Buy Faster Than It Can Measure
A survey of 107 enterprises reveals that AI infrastructure spending is accelerating far beyond organizations' ability to track, measure, or control costs — creating a dangerous gap between procurement and financial visibility that extends into security and compliance territory.