- North American vacancy remains at 1%, but JLL says only a very small share of that capacity can support high-density AI deployments.
- Distributed computing is getting a new spin. A growing crop of pilots is paying homeowners to host GPU capacity via wall-mounted appliances. Can residential nodes deliver the speed, reliability, security, and scale?
- The project combines a planned private energy generation complex with an AI data center and has drawn national scrutiny over its potential emissions.
- Sunrun’s Voltus deal adds residential batteries to the capacity options available to AI hyperscalers, but distributed resources cannot solve every physical grid constraint.
- Driven by surging investment in AI and cloud infrastructure, Asia-Pacific’s data center pipeline reached a record-breaking 26.5 GW in H1 2026.
- Data center land banking reshapes industry growth by securing land for future expansion as demand surges and site selection challenges intensify.
- The VMware-Broadcom situation illustrates a critical lesson: avoid over-dependence on any one platform by continuously evaluating workload placement, costs, and risks.
- The company’s strategy emphasizes that “bragawatts” aren’t all equal: a megawatt at the end of a weak radial line has far less value than one supported by redundant, resilient transmission systems.
- Nvidia’s $500B financing push could change how operators fund AI infrastructure, while power and interconnection remain critical constraints on deployment.
- The AI data center boom relies on copper, lithium, and rare earths, but ongoing supply chain pressures are testing whether producers can keep up.


