Running AI on FreeBSD (The CUDA Problem)

Can you run a local AI model on FreeBSD? In this video I test whether a Large Language Model (LLM) can realistically run on a FreeBSD system using tools like Ollama and Open WebUI. With the explosion of interest in self-hosted AI, many developers and sysadmins are experimenting with running models locally rather than relying on cloud services. But how well does this work on FreeBSD? I set up a small test environment and attempt to run a local LLM directly on a FreeBSD machine. The results are… mixed. The main issue comes down to GPU acceleration. Without CUDA support from NVIDIA, FreeBSD systems are largely limited to CPU inference, which dramatically reduces performance. In this video we cover: • Installing and running Ollama on FreeBSD • Running local LLM models • Integratation of Open WebUI or lack of it! • Hardware limitations when running AI locally • Why CUDA support matters for AI workloads • Whether running an LLM on FreeBSD is actually practical If you're interested in FreeBSD, self-hosting, AI infrastructure, or homelab experimentation, this video will walk you through the process and the limitations you might run into. Gary is interested in sponsorships from storage device makers for an upcoming project. contact: [email protected] Topics covered in this video: FreeBSD AI, running local LLMs, Ollama FreeBSD installation, Open WebUI setup, GPU acceleration for AI, and running large language models on a homelab server. 00:00 Can You Run AI on FreeBSD? 00:22 Testing a Local LLM on FreeBSD 00:41 Why CUDA Support Matters for AI Performance 01:16 Running Ollama on FreeBSD 01:56 Checking CPU and System Usage 02:29 Testing an LLM Model on FreeBSD 03:03 Hardware Limitations for Local AI 03:47 Why AI Is Slow Without GPU Acceleration 04:10 How to Install Ollama on FreeBSD 04:58 Installing Dependencies (Go, Vulkan, Llama) 05:25 Running Open WebUI for a Local AI Interface 06:20 Connecting Open WebUI to a FreeBSD LLM Server 06:56 Downloading and Managing AI Models 07:38 Testing a Different LLM Model 08:02 Real-World Performance of Local AI 08:37 Is Running AI on FreeBSD Actually Practical? 09:01 Comparing Performance on Windows 10:31 Final Verdict: Can FreeBSD Run AI? 11:02 Closing Thoughts LCARS interface: System 47 -    • Titan.DS: Enterprise-G / NCC-1701-G • 1-Ho...   #FreeBSD #OpenSource #Unix #windows #garyhtech #2026 #technology #tech FOSS FreeBSD Handbook FreeBSD Networking FreeBSD PKG FreeBSD ports tree