Solutional Blog
Next-Generation Data Center Networking in the Age of AI
AI is reshaping every layer of the data center - networking, power, cooling, and security. In this post, we break down what it takes to build an AI-ready data center, from deterministic network design to AIOps-driven operations and how you can be a part of one of the premier data center-focused events, DCD>Connect | London.
Neocloud Rising
As demand for model training and inference skyrockets, a new paradigm is emerging - Neocloud GPU - powered platforms purpose-built for AI workloads. Unlike general cloud providers, Neocloud vendors like CoreWeave, Lambda Labs, and Crusoe offer high-performance infrastructure, orchestration layers, and managed services tailored to AI.
Redefining App Building with AI at the 2025 AWS Summit NYC
At the 2025 AWS Summit in New York, AWS unveiled AgentCore and S3 Vectors - new tools that mark a shift from AI-assisted coding to full-scale AI-powered system building. This year’s message was clear: AI isn’t replacing people - it’s empowering anyone, regardless of technical background, to build intelligent, modular, real-world applications using simple prompts and a clear idea.
The Age of Ideas
We’re entering the Age of the Idea where imagination, not engineering, is the limiting factor. With generative AI and no-code tools, anyone can turn a concept into a working prototype in hours, not months. The barriers are falling. What will you build?
Three Critical Questions That Guide An AI Initiative
AI is transforming network operations, but success starts with asking the right questions. What specific problem will AI solve better than existing tools? And is your network data ready - clean, connected, and real-time? Without clear answers, AI in NetOps risks becoming a costly experiment rather than a strategic advantage.
Becoming a Next-Gen Network Engineer in a Software-Centric World
As automation, cloud, and AI reshape the networking landscape, the role of the network engineer is evolving fast. Introducing the Next-Gen Network Engineer (NGNE) learning path - a practical roadmap to help engineers build modern skills in automation, DevOps, cloud, and observability. Whether you’re just starting or ready to level up, this guide shows how to embrace disruption and thrive in today’s software-driven world.
Designing a Scalable Data Pipeline for AI in Network Operations
Turning network telemetry into AI-driven insight takes more than intuition - it takes a robust data pipeline. In this article read about the architecture behind real-time AI in NetOps, from telemetry ingestion to model inference, and why data engineering is the foundation of any successful AI initiative.
The Importance of Data Pipelines for AI in Network Operations
AI won’t fix your network if the data feeding it is broken. In this post, learn why building a clean, fast, and reliable data pipeline is the first and most critical step for applying machine learning in network operations.
Why Coding Still Matters in the Age of AI Agents
AI agents can crank out network-automation scripts, but you still need coding skills to guide, debug, and extend them, making Python skills as crucial as ever even in an agent-driven future.