Özkan Pakdil

Checked out #Vulkan this morning, absolute beast. Then I tried installing OpenClaw one curl command and suddenly it wanted sudo root.

Now I’m reconsidering whether this setup is worth the trouble.

Anyway vulkan numbers here in case you want to run llama-server in an old laptop

https://ozkanpakdil.github.io/posts/my_collections/2026/2026-03-22-vulkan-llamacpp-debian-13/

#Debian #qwen #llamacpp

Accelerating LLMs on Debian 13: Setting up Vulkan for llama.cpp

After setting up CUDA on my other laptop, I moved to a different(older) machine that doesn’t have an NVIDIA GPU. This one is an everyday laptop with integrated Intel graphics, but that doesn’t mean we have to settle for slow CPU-only performance. On this machine, I switched to the Vulkan backend for llama.cpp and the results were even more dramatic than I expected. Machine Hardware Info This laptop is running Debian 13 (Trixie/Sid) with the following specs:

Özkan Pakdil Software Engineer
Mar 22 at 10:46amWeb
Show threadÖzkan PakdilMar 22

this research started with my llama cpp compilation with #CUDA that is cool too 4X :)

https://ozkanpakdil.github.io/posts/my_collections/2026/2026-03-20-cuda-llamacpp-debian-13/

Accelerating LLMs on Debian 13: Setting up CUDA for llama.cpp

Setting up NVIDIA CUDA on Debian 13 (Trixie/Sid) to run Large Language Models (LLMs) can be a bit of a journey, especially if you’re transitioning from the default open-source drivers to the proprietary stack required for GPGPU workloads. Over the last few days, I’ve been working on getting llama.cpp to run with CUDA on my laptop to see how much of a difference it makes compared to pure CPU execution.

Özkan Pakdil Software Engineer