12h ago

ArXiv Paper Details Memory-Efficient LLM Inference Advances In Wllama

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Original post
Georgi Gerganov#781@GGERGANOVOPReese LevineReese Levine@REESELEVINE

We have an arxiv paper up describing the work in more detail here: https://arxiv.org/abs/2605.20706. Also want to call out that there is even more room for improvement, some recent updates to wllama by @ngxson mean it's even more memory efficient than what we describe in the paper!

12:09 PM · May 21, 2026 View on X
QUOTE POSTGeorgi Gerganov#781Georgi Gerganov@GGERGANOV

Highlighting the new WebGPU backend in llama.cpp/ggml

The work to bring full-fledged WebGPU support in llama.cpp started about an year and a half ago. It has been lead by @reeselevine and team at USCS.

For more information, checkout the interactive blog and paper in the quoted post. Here are 2 excerpts from the paper, summarizing the implemented software architecture.

Figure from https://arxiv.org/pdf/2605.20706Figure from https://arxiv.org/pdf/2605.20706
3:42 AM · May 22, 2026 · 7.6K Views