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Looking back from 2026, it is difficult to remember how radical the concept of computing infrastructure as a service once seemed.
Nvidia’s RTX Spark paints a future in which AI agents and locally tuned language models live on the laptop in your backpack.
AI’s biggest gains won’t come from bolting agents onto old workflows. They’ll come from pairing people who don’t feel bound by those workflows with people who know why they exist.
Current token pricing is giving enterprises a false sense of comfort. For many cloud customers, today’s cheap AI will become tomorrow’s cost crisis.
New joint composable solutions deliver software-defined, low-latency data centers with the ability to pool and orchestrate for DRAM-like data speeds.
For most enterprises, compute and storage services are the main uses of the public cloud. These capabilities are pretty much the same across providers.
The backlash against large data center projects raises a new question. Could part of the next infrastructure wave use private homes rather than purpose-built facilities?
Models are getting easier to swap. The operating, integration, and governance machinery that surrounds them is much harder to replace.
If this model holds, soon enterprises may buy computing from any organization with excess capacity, not just from the familiar hyperscalers.
AWS’s new upgrades to its custom network platform improve cloud speed, reliability, and flexibility. They offer major cost benefits to enterprises but require strategic readiness to maximize value.