AI adoption: why companies are moving off the cloud and onto their own servers
Dell Tech World 2026 focused on the shift to hybrid infrastructure for AI. Cloud is getting more expensive, sovereignty requirements are growing, and AI agents demand speed. Dell recommends that companies keep their core workloads on their own servers.
AI-processed from ZDNet AI; edited by Hamidun News
Enterprise AI adoption is forcing a rethink of infrastructure decisions: Dell Tech World 2026 made the case that companies come out ahead by keeping AI workloads on their own servers.
Why are companies moving from the cloud to their own servers for AI?
Cloud providers have raised prices for compute, and bills are 2–3 times higher for companies that launched LLMs a year ago. Data sovereignty requirements are also growing, and AI agents need minimal latency.
What is hybrid infrastructure for AI?
It is an approach in which companies keep AI workloads on their own servers instead of moving entirely to the cloud, which cuts costs and ensures data sovereignty.
Key Questions Answered
Why are companies moving from the cloud to their own servers for AI?
Cloud providers have raised prices for compute, and bills are 2–3 times higher for companies that launched LLMs a year ago. Data sovereignty requirements are also growing, and AI agents need minimal latency.
What is hybrid infrastructure for AI?
It is an approach in which companies keep AI workloads on their own servers instead of moving entirely to the cloud, which cuts costs and ensures data sovereignty.
Test Frontier LLMs & Autonomous Agents in One Workspace
Run Claude Opus 5.5, GPT-6, Gemini 3.1, and DeepSeek side-by-side in Nomad AI (nomadnet.ai) — unified model routing, deep research, and multimodal workflows under one subscription.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.