# Intellaix

> Understanding the infrastructure and economics powering artificial intelligence (AI)


## Posts

- [NVIDIA B200: A Systems-Level Analysis of Production Inference at Scale](https://intellaix.com/nvidia-b200-production-inference-scale-analysis/): For most of the last three years, public discussion of AI infrastructure centered on training: which lab had the largest cluster, how many GPUs went into a foundation model run, and how long that run took.
- [Kimi K3 at Production Scale: The Economics of Open Weights and Closed Gates](https://intellaix.com/kimi-k3-production-scale-economics/): On July 16, 2026, Moonshot AI released Kimi K3, a 2.8-trillion-parameter mixture-of-experts model (MoE) that the company describes as the world's first open "3T-class" system (Moonshot AI launch blog; VentureBeat).
- [Silicon Meets Silicon: How NVIDIA NVFP4 Quantization Brings 753B-Parameter MoE Inference to Single-Node Blackwell Clusters](https://intellaix.com/nvidia-nvfp4-blackwell-moe/): The realization of autonomous, long-horizon AI agents has historically been throttled not by algorithmic design, but by raw physical memory constraints.
- [Why Kubernetes Is Becoming Critical for AI Clusters](https://intellaix.com/kubernetes-critical-ai-clusters/): The dominant narrative surrounding modern AI infrastructure is almost entirely hardware-driven.
- [Why Small Language Models (SLMs) Are Changing Enterprise Adoption](https://intellaix.com/why-slms-are-changing-enterprise-adoption/): Artificial intelligence (AI) is advancing rapidly, but enterprise adoption is not scaling at the same pace.
- [AI Model to Machine: Evolving into Integrated Systems](https://intellaix.com/ai-model-evolving-integrated-systems/): There is a deceptively simple question at the center of modern AI: When you deploy an AI capability, what is actually the product?
- [Sovereign AI: How Governments Are Building Their Own AI Infrastructure](https://intellaix.com/sovereign-ai-governments-building-ai-infrastructure/): For most of the past decade, the infrastructure underpinning artificial intelligence (AI) has been built almost entirely by private companies.
- [Why Frontier AI Startups Now Require Billion-Dollar Funding](https://intellaix.com/frontier-ai-startups-billion-dollar-funding/): A decade ago, the most successful artificial intelligence systems were built by small teams with modest budgets.
- [Why AI Cost Keeps Rising: Understanding the Economics of AI Infrastructure](https://intellaix.com/why-ai-cost-keeps-rising/): Artificial intelligence (AI) is widely perceived as a software-driven technology, delivered through models, APIs, and applications that can be deployed and scaled across digital environments.
- [Why AI Networking Has Become the Hidden Backbone of AI Infrastructure](https://intellaix.com/ai-networking-hidden-backbone-ai-infrastructure/): The GPU has become the defining symbol of the AI era—coveted, expensive, and in perpetual short supply.
- [AI Power Constraint: Why Energy Is Becoming the Next Bottleneck in AI Infrastructure](https://intellaix.com/ai-power-constraint/): AI power is becoming the defining constraint on frontier development.
- [AI Compute Constraint: Why GPUs and Infrastructure Now Define Artificial Intelligence](https://intellaix.com/ai-compute-constraint/): There is a common assumption that progress in artificial intelligence (AI) is fundamentally a software problem—that the breakthroughs shaping the field emerge from mathematical insight, elegant code, and research ingenuity.
- [Why HBM Has Become the Most Valuable Component in AI Hardware](https://intellaix.com/hbm-valuable-ai-hardware-component/): Modern AI systems are placing unprecedented demands on computing infrastructure.
- [Why AI Infrastructure Is Becoming the Foundation of Modern Artificial Intelligence](https://intellaix.com/ai-infrastructure-industry/): Artificial intelligence is often described as a breakthrough in software, algorithms, and data. But what is happening behind the scenes tells a different story.

## Pages

- [Terms of Use & AI Disclaimer](https://intellaix.com/terms-of-use/): By using this Site, you agree to all three sections below.
- [About](https://intellaix.com/about/): Intellaix.com is a mental model layer for understanding AI. We don't just cover what AI can do — we explain how it actually works as an industrial system.
- [Privacy and Cookie Policy for Intellaix](https://intellaix.com/privacy-policy/): Welcome to Intellaix ("we," "our," or "us"). We respect your privacy and are committed to protecting your personal data.
- [Contact](https://intellaix.com/contact/): Have a question, suggestion, or thought related to AI infrastructure, economics, strategy, or emerging systems? Feel free to reach out.
- [Home](https://intellaix.com/): For most of the last three years, public discussion of AI infrastructure centered on training: which lab had the largest cluster, how many GPUs went into a foundation model run, and how long that run took.

## Optional

- [Agent (MCP protocol)](websites-agents.hostinger.com/intellaix.com/mcp)

[comment]: # (Generated by Hostinger Tools Plugin)