OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

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

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 ...

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 ...

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 ...

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 ...

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

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.

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 ...

AMD's acquisition of MEXT has the potential to be a game changer for the company.