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 ...

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 ...

I finally stopped babying my MacBook.

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 ...

Memory-centric challenger brings its full silicon-to-rack inference stack to Hamburg, arguing that inference economics turn on memory architecture and capacity: the ability to actually use the ...

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 ...

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.

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 ...