Jailbroken PS5s now run native AI models using GPU acceleration
A new fork of PS5LM enables jailbroken consoles to execute large language models natively, unlocking GPU power and significantly increasing processing speeds.
Key points
- Reddit user u/AdIllustrious7244 released a fork of PS5LM that runs natively on jailbroken PlayStation 5 consoles, utilizing the GPU for AI tasks.
- The update allows the system to use up to 11.4 GiB of RAM, enabling larger models like Qwen3.8-27B to run at 20 tokens per second.
- Previous CPU-only payloads were limited to 6 GiB of memory and caused system instability when processing large language models.
Reddit user u/AdIllustrious7246 released a modified version of PS5LM that allows jailbroken PlayStation 5 consoles to run artificial intelligence models natively, according to a report by Tom's Hardware. This software fork leverages the console's graphics processing unit to execute large language models locally, marking a significant performance improvement over previous methods that relied solely on the central processing unit.
The new implementation utilizes PS5_Vulkan, a port of the RADV graphics driver, to send instructions directly to the PS5 GPU. According to the developer, this native execution bypasses previous memory constraints, allowing access to up to 11.4 GiB of RAM. This expansion enables the console to handle larger models without the system freezes or crashes that occurred when the CPU was overloaded by large data sets.
Technical improvements and performance metrics
Earlier versions of llama.cpp ports for the PS5, such as those by GitHub user cobanov, ran as payloads on the CPU. According to u/AdIllustrious7246, these CPU-bound versions were limited to approximately 6 GiB of memory to prevent the home screen from freezing. Running larger models in that environment caused system instability because the CPU could not process the load efficiently.
With GPU acceleration, the new fork achieves significantly higher processing speeds. The developer reported running the 27-billion-parameter Qwen3.8-27B model at 20 tokens per second. Smaller models demonstrated even faster performance, with Gemma 4 E4B reaching 61 tokens per second and Llama 3.2 3B hitting 124 tokens per second, according to Tom's Hardware.
User interface and local capabilities
The updated software includes a dashboard that displays real-time system metrics during model execution. According to the source material, users can monitor live token-per-second generation, GPU and CPU usage, power draw, and temperature readings. The dashboard also shows how memory is split between the model itself and the key-value cache, providing transparency into system resource allocation.
The application integrates with llama.cpp’s web UI, allowing users to interact with the local AI model from other devices on the same network. This feature enables chatting with the large language model via a standard web browser on separate hardware, keeping all processing and data storage within the local environment of the jailbroken console.
What should you do?
Security professionals should monitor for unauthorized modifications to gaming consoles that expose hardware capabilities beyond their intended design. Organizations using gaming devices in public spaces should ensure consoles remain on official firmware to prevent local execution of unverified code. Users interested in local AI processing should verify the source of any software to avoid introducing malicious payloads.
Background: Large language models
Large language models are a specific type of neural network trained on text. Generative AI is the broader umbrella term for any system that creates new content, including images and code. Not all generative AI uses large language models, but most modern text generators do.
What to do and how to stay safe: PlayStation 5
- Verify that gaming consoles are running official firmware versions to prevent unauthorized local code execution and hardware exploitation.
- Monitor network traffic for unusual local connections that may indicate unauthorized services running on connected devices.
- Avoid installing unverified software forks or homebrew applications that bypass standard security controls on consumer electronics.
- Review device permissions and memory access logs to detect anomalies that suggest native application execution outside of approved channels.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
Can a standard, non-jailbroken PS5 run these AI models?
No, the source material specifies that these capabilities require a jailbroken PS5 to bypass standard hardware restrictions.
What is the maximum RAM usage for the new native PS5LM fork?
According to the developer, the native version can utilize up to 11.4 GiB of RAM for running AI models.
Which specific AI models were tested with this new software?
The developer tested Qwen3.8-27B, Gemma 4 E4B, and Llama 3.2 3B, reporting varying token speeds for each.
