Research from JPMorganChase reveals the implications of AI for retailers, brands and sourcing companies.

Built alongside early design partners, the Inference Engine gives AI developers unified control over performance, cost, and scale — with customers reporting up to 67% lower inference costs. Inference ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

AI inference is undergoing the same transformation that cloud infrastructure experienced a decade ago. Open-weight models have expanded who runs AI — neoclouds, regulated enterprises, and AI-native ...

As AI adoption accelerates, organizations will increasingly measure AI success not by model size, but by the economics of ...

A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...

Modular Inc., the creator of a programming language optimized for developing artificial intelligence software, has raised $100 million in fresh funding. General Catalyst led the investment, which was ...

Adaptive Neuro-Fuzzy Inference Systems (ANFIS) integrate the interpretability of fuzzy logic with the adaptive learning capabilities of neural networks, forming a powerful framework for tackling ...

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.