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 ...

After a 20%-plus drawdown, QCOM is pursuing $15 billion in data center revenue by fiscal 2029, backed by Meta and Microsoft ...

Predibase, the developer platform for productionizing open source AI, is debuting the Predibase Inference Engine, a comprehensive solution for deploying fine-tuned small language models (SLMs) quickly ...

EdgeQ revealed today it has begun sampling a 5G base station-on-a-chip that allows AI inference engines to run at the network edge. The goal is to make it less costly to build enterprise-grade 5G ...

Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...

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 ...

I finally stopped babying my MacBook.

IBM revealed a processor this week at the Hot Chips 33 conference specifically designed to include acceleration capabilities for running inference engines created using artificial intelligence (AI) ...

The burgeoning AI market has seen innumerable startups funded on the strength of their ideas about building faster, lower-power, and/or lower-cost AI inference engines. Part of the go-to-market ...

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

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.