Spring AI enterprise Java is now in production, but agent security is the next crisis: UberConf 2026 opens today in Denver ...
Earlier this year, SDxCentral explored the market push behind AI inference – the process where a trained machine learning ...
XDA Developers on MSN
6 local LLMs I've used that prove they're not just smaller versions of cloud models
These local LLMs are changing the game in lots of fun ways.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...
OpenSquilla has released its first public version, a self-hostable, open-source AI agent runtime built around a single premise: most agent deployments spend tokens they do not need to spend, and the ...
Large Language Models (LLMs) are transforming how users approach tasks related to searching, interacting with, and generating new content. These advanced language models have garnered immense ...
In this tutorial, we explore kvcached, a dynamic KV-cache implementation on top of vLLM, to understand how dynamic KV-cache allocation transforms GPU memory usage for large language models. We begin ...
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos We taught models to compress their own ...
SiMM is a high-performance, scalable Key-Value (KV) cache engine designed for LLM inference workloads. It addresses the critical bottlenecks in long-context prompts and multi-turn agent interactions ...
Tencent Hunyuan has open sourced HPC-Ops, a production grade operator library for large language model inference architecture devices. HPC-Ops focuses on low level CUDA kernels for core operators such ...
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