Upbound Launches Modelplane: The Open Source Control Plane for AI Inference

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 ...

The Age Of Tokenomics: Why Enterprise AI Success Depends On An AI Data Platform

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

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

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 ...
VentureBeat

The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

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.
Nature

Analog optical computer for AI inference and combinatorial optimization

Computing today is digital, but analog has a future. Exponential advances in digital hardware have both driven and benefited from the rise of artificial intelligence (AI), but its escalating energy ...
SiliconANGLE

Modular nabs $100M for its AI programming language and inference engine

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 ...
Semiconductor Engineering

HW-SW Co-Designed System With 3 Core Optimization Pathways For Long-Context Agentic LLM Inference (Cambridge, ICL)

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 ...