Opinion: The Department of Justice's settlement with RealPage argues that the use of algorithmic pricing software itself ...

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...

Abstract: To accelerate the training speed of massive DNN models on large-scale datasets, distributed training techniques, including data parallelism and model parallelism, have been extensively ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Paid media is often treated like a checklist item in a marketing plan: launch a few search ads, run a Meta campaign, maybe test YouTube if there’s budget left. But not all paid media is created equal, ...

NVIDIA introduces Helix Parallelism, a breakthrough in AI, enabling faster real-time inference with multi-million-token contexts, enhancing performance and user experience. In a significant stride ...

This sequence has type: [[int]] (a sequence of sequences of integers). Given nested sequences and the rule that any function can be applied in parallel over the elements of a sequence, NESL ...

Large language models are built on transformer architectures and power applications like chat, code generation, and search, but their growing scale with billions of parameters makes efficient ...

There are so many challenges in producing modern semiconductor devices that it’s amazing for the industry to pull it off at all. From the underlying physics to fabrication processes to the development ...

LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple GPUs, ...