AI Infrastructure – itsabout.ai

Neocloud Enters Its Consolidation Era: What’s Driving It and What It Means for AI Buyers

Future General Healthcare Human Resources Informational Infrastructure Recruitment Security Society Technology

Over the last two years, a new class of GPU-first Neocloud providers such as CoreWeave, Lambda, Voltage Park, Crusoe, and others has moved from niche to necessary. They stand out for their cutting-edge accelerators, near bare-metal performance, faster time to capacity, and flexible terms for AI workloads including shorter commitments, lower egress fees, and container-native […]

Simon Todd in 17 Oct 2025 No Comments

Why ARM May Struggle to Dominate AI Servers and How the Intel + NVIDIA NVLink Deal Reinforces x86

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Future General Healthcare Human Resources Informational Infrastructure Recruitment Security Society Technology

The big question in AI infrastructure Every year, new GPUs and super chips dominate headlines. But behind every GPU cluster sits a crucial decision: which CPU architecture should host it, ARM or x86? ARM has surged in visibility thanks to NVIDIA Grace, AWS Graviton, and AmpereOne. But despite rapid growth, ARM still isn’t the dominant […]

Simon Todd in 17 Oct 2025 No Comments

Open Ethernet vs. InfiniBand for AI Fabrics: What’s Different, Why Ethernet Is Surging, and Where Both Still Hurt

Future General Informational

Infrastructure Technology

AI clusters live or die by their network. When you stitch together thousands of GPUs, the fabric becomes a first-class accelerator: it must deliver brutal bandwidth, ultra-low tail latency, clean congestion control, and predictable job completion times. For years, InfiniBand (IB) owned that story. Today, “Open Ethernet” fabrics—multi-vendor Ethernet with open software (e.g., SONiC) and […]

Simon Todd in 01 Oct 2025 No Comments

LLMs vs SLMs: Why Smaller Models Could Power the Future of Agentic AI

Future General Informational

Infrastructure Technology

The AI landscape has been dominated by Large Language Models (LLMs)—massive neural networks trained on trillions of tokens, spanning hundreds of billions of parameters. These models, such as GPT-4 or Claude, have shown remarkable general-purpose intelligence, but they come with steep costs: enormous compute requirements, GPU dependency, and operational overheads that make them inaccessible for […]

Simon Todd in 13 Sep 2025 No Comments