The ability to significantly reduce LLM decoding latency could lead to reduced computational resource requirements, making these powerful AI models more accessible and affordable to a wider range of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

“LLM decoding is bottlenecked for large batches and long contexts by loading the key-value (KV) cache from high-bandwidth memory, which inflates per-token latency, while the sequential nature of ...

This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...

Jan 09, 2026 - Viktor Markopoulos - We often trust what we see. In cybersecurity, we are trained to look for suspicious links, strange file extensions, or garbled code. But what if the threat looked ...

The key “distinguishing features” of BharatGen will be its multilingual and multimodal nature, indigenously built datasets, open-source architecture, among others By July 2026, Indian authorities have ...