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 ...
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.
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 ...
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 ...
New Atlas

Next-level AI engine comes top in LLM speed showdown

Responses to AI chat prompts not snappy enough? California-based generative AI company Groq has a super quick solution in its LPU Inference Engine, which has recently outperformed all contenders in ...
Nature

Adaptive Neuro-Fuzzy Inference Systems in Optimization Problems

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 ...