Llama.cpp – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-16T23:50:38Z http://www.open-lab.net/blog/feed/ Annamalai Chockalingam <![CDATA[Accelerating LLMs with llama.cpp on NVIDIA RTX Systems]]> http://www.open-lab.net/blog/?p=89663 2024-11-22T23:11:17Z 2024-10-02T13:00:00Z The NVIDIA RTX AI for Windows PCs platform offers a thriving ecosystem of thousands of open-source models for application developers to leverage and integrate...]]> The NVIDIA RTX AI for Windows PCs platform offers a thriving ecosystem of thousands of open-source models for application developers to leverage and integrate...

The NVIDIA RTX AI for Windows PCs platform offers a thriving ecosystem of thousands of open-source models for application developers to leverage and integrate into Windows applications. Notably, llama.cpp is one popular tool, with over 65K GitHub stars at the time of writing. Originally released in 2023, this open-source repository is a lightweight, efficient framework for large language model��

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]]> 0 Alan Gray <![CDATA[Optimizing llama.cpp AI Inference with CUDA Graphs]]> http://www.open-lab.net/blog/?p=86845 2024-11-14T16:03:17Z 2024-08-07T20:00:00Z The open-source llama.cpp code base was originally released in 2023 as a lightweight but efficient framework for performing inference on Meta Llama models....]]> The open-source llama.cpp code base was originally released in 2023 as a lightweight but efficient framework for performing inference on Meta Llama models....

The open-source llama.cpp code base was originally released in 2023 as a lightweight but efficient framework for performing inference on Meta Llama models. Built on the GGML library released the previous year, llama.cpp quickly became attractive to many users and developers (particularly for use on personal workstations) due to its focus on C/C++ without the need for complex dependencies.

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