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 ...

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 ...

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 ...

NTT Research announced at its annual Upgrade event that it has started a new AI basic research group, dubbed the Physics of Artificial Intelligence Group. Physical AI has become a big deal in 2025, ...

Artificial intelligence is rapidly moving beyond cloud servers and into the devices people use every day. Laptops, smartphones and edge systems now have enough computing power to run sophisticated ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

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.

The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining differentiator for the next generation of GPUs and AI inference accelerators.

I finally stopped babying my MacBook.

AI training is about acquiring knowledge and inference is applying that knowledge to make predictions, generate answers and create original content. However, although a lot goes into both stages, ...