"AI is the core technology: In a traditional cloud, AI is an add-on. In an AI-native cloud, every layer-from storage to networking - is designed to handle the high-throughput, low-latency demands of large models. GPU-first orchestration: AI-native clouds prioritize GPUs and TPUs. This requires advanced orchestration tools like Kubernetes for AI to manage distributed training and inference economics The vector foundation: Data modernization is the price of entry."
"The vector foundation: Data modernization is the price of entry. AI-native clouds rely on vector databases to provide long-term memory for AI models, allowing them to access proprietary enterprise data in real-time without hallucinating. Rise of neoclouds: 2026 will seei the rise of specialized neocloud providers (like CoreWeave or Lambda) that offer GPU-centric infrastructure that hyperscalers are often struggling to match in terms of raw performance and cost."
"Cloud computing has fundamentally transformed the way enterprises operate. Initially built for more basic, everyday computing tasks, its capabilities have expanded exponentially with the advent of new technologies (such as machine learning and analytics). But AI - particularly generative AI and the emerging class of AI agents - presents all-new challenges for cloud architectures. It is resource-hungry, demands ultra-fast latency, and requires new compute pathways and data access."
AI-native cloud requires treating intelligence as a core technology across every layer, not as an add-on. Architectures must be GPU-first with specialized orchestration to manage distributed training and inference economics. Data modernization and vector databases provide long-term memory so models can access proprietary enterprise data in real time without hallucinating. Specialized neocloud providers will emerge to offer GPU-centric infrastructure with competitive performance and cost. The ultimate goal shifts from faster operations to self-operating systems, enabling agentic AI to autonomously manage network traffic, resolve IT tickets, and optimize cloud spend.
Read at InfoWorld
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