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Running a private Qwen3.6 Coding Agent on Scaleway
This is the Scaleway sequel to two previous posts on self-hosted coding agents: the AWS run where we deployed a 27B model on a g5.xlarge, and the…
![Running a Local LLM on a Consumer GPU [8 GB VRAM]](/_next/image?url=%2Fblog%2F20260418_running-a-local-llm-on-a-consumer-gpu-8-gb-vram%2Fimg%2F04_gpu_poor.jpeg&w=3840&q=75)
Running a Local LLM on a Consumer GPU [8 GB VRAM]
In a previous post, we ran Qwen3.5-27B on an AWS g5.xlarge with an NVIDIA A10G (24 GB VRAM).
Running a Local LLM Coding Agent on AWS
We deploy Qwen3.5-27B on a single GPU instance, serve it with llama.cpp, wire it to OpenCode as a coding agent frontend, and run ToolCall-15 to measure…
GPU Analytics Ep 3, Apply a function to the rows of a dataframe
The goal of this post is to compare the execution time between Pandas (CPU) and RAPIDS (GPU) dataframes, when applying a simple mathematical function to…
GPU Analytics Ep 2, Load some data from OmniSci into a GPU dataframe
Although the post title is about loading some data from a GPU database into a GPU dataframe, most of it is about running JupyterLab on a GPU AWS instance…
GPU Analytics Ep 1, GPU installation of OmniSci on AWS
In this post, we are going to install the OmniSci 4.6 GPU database on an Ubuntu 18.04 AWS instance.