Andrii Skliar

Andrii Skliar is a deep learning researcher at NVIDIA, where he develops methods and systems for efficient large language model inference. His work spans mixture-of-experts models, speculative decoding, and GPU kernel optimization, including work with vLLM and FlashInfer. His research connects model design with inference performance to make large language models faster and more efficient at scale. He holds an MSc in artificial intelligence from the University of Amsterdam.
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Posts by Andrii Skliar

Agentic AI / Generative AI

ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding

Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are... 14 MIN READ