ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding
ReplaySSM proposes a different approach to storing recurrent state in hybrid models, aiming to speed up decoding without sacrificing quali...
6 articles
ReplaySSM proposes a different approach to storing recurrent state in hybrid models, aiming to speed up decoding without sacrificing quali...
NVIDIA's AIPerf gives teams a repeatable way to benchmark LLM inference at scale, capturing throughput, latency, and concurrency under rea...
In local AI deployments, idle GPUs mirror grounded aircraft: they consume capital, occupy space, and depreciate without yielding returns....
Hugging Face and Cerebras collaborate to run Gemma 4 models for real-time voice AI on local hardware, enabling low-latency speech processi...
Learn how to transform a local large language model into a powerful agent by integrating external tools like web search, APIs, and code ex...
Learn how to launch a vLLM inference server on Hugging Face Jobs with a single command. This guide covers setup, configuration, and practi...