PS5 Local LLM VRAM & Speed Calculator
Simulate memory consumption, quant quantization thresholds, and autoregressive generation throughput (Tokens/sec) on the PlayStation 5's 16GB GDDR6 unified memory bus.
PS5 Local LLM VRAM & Speed Calculator
Bandwidth-bound telemetry model for PS5LM / PS5LM Plus Vulkan runtime
The 20.9 tok/s Paradox: Qwen 3.8 27B running on PS5 utilizes Unsloth's extreme 2-bit quantization. While generation throughput beats an RTX 4060 Ti due to the 448 GB/s GDDR6 memory bus, 2-bit quantization severely reduces mathematical reasoning depth. Best suited for fluid roleplay or general summarization, but unreliable for zero-shot compiler code generation.
memory_altThe Physics: Why PS5 Outpaces an RTX 4060 Ti in Token Generation
A widespread misconception in AI computing is that local model speed is primarily determined by raw GPU TFLOPS. While TFLOPS govern prompt prefill (reading your instructions in parallel), the actual word-by-word streaming (autoregressive decoding) is strictly Memory Bandwidth Bound.
When generating a single token, every single parameter in the model must be loaded from memory into the GPU compute units. Consider the hardware numbers:
- PlayStation 5 (Oberon SoC): 16GB GDDR6 on a wide 256-bit bus delivering 448 GB/s unified bandwidth.
- NVIDIA RTX 4060 Ti: Restricted to a narrow 128-bit memory bus with only 288 GB/s bandwidth.
- Standard Desktop PC (Dual-Channel DDR5-6000): Merely ~96 GB/s system RAM bandwidth.
Because the PS5 features 55% higher memory bandwidth than an RTX 4060 Ti, and 4.6x higher bandwidth than DDR5 PC memory, it streams quant weights at speeds that leave mid-range desktop graphics cards behind.
table_chartHardware Matrix: PS5 vs Popular Desktop AI Configurations
| Platform | Usable VRAM | Memory Bus | Peak Bandwidth | 27B (2-bit) Speed | Prefill Speed |
|---|---|---|---|---|---|
| videogame_assetPS5 (PS5LM Plus) | 11.44 GiB | 256-bit GDDR6 | 448 GB/s | 20.9 tok/s | Slow (No Tensor Cores) |
| RTX 4060 Ti (8GB) | 8.0 GiB (OOM) | 128-bit GDDR6 | 288 GB/s | Fails (Out of VRAM) | Blazing (4th Gen TC) |
| RTX 4060 Ti (16GB) | 16.0 GiB | 128-bit GDDR6 | 288 GB/s | ~13.4 tok/s | Blazing (4th Gen TC) |
| RTX 3060 (12GB) | 12.0 GiB | 192-bit GDDR6 | 360 GB/s | ~16.8 tok/s | Fast (3rd Gen TC) |
| PC Dual DDR5-6000 (CPU) | 32.0+ GiB | 128-bit DDR5 | ~96 GB/s | ~4.5 tok/s | Moderate (AVX-512) |
What firmware is required for PS5LM?
PS5LM Plus requires a jailbroken PlayStation 5 running exploitable firmware (typically 3.xx - 4.xx) with WebKit / kernel exploit support and the latest community Vulkan layer enabled.
Can I connect VSCode or Cursor to my PS5?
Yes! PS5LM Plus hosts a standard OpenAI-compatible HTTP endpoint (http://ps5-ip:8080/v1/chat/completions). You can configure Continue, Cline, or Cursor on your PC to offload inference directly to your living room console.
Why not run Llama 70B with offloading?
Once weights exceed 11.44 GiB, the system must page to the internal PCIe 4.0 SSD. Even at 5,500 MB/s, SSD streaming is 81 times slower than GDDR6, collapsing generation speed to ~0.5-1 tokens per second.