Poor People Vulkan GPUs list
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Help with this list. Give me your recommendation on "not supported anymore" GPUs. Looking for budget and Vulkan friendly options.
Most of the GPU are not supported by latest CUDA / ROCm. Often with some witchcraft magic they are able to run with native backend. I prefer the simplicity offered by running Vulkan backend. I'll successfully ran GTX 1080Ti, P102-100, and MI50 on a single system thanks for Vulkan and Linux. Gemini helped with data gathering.
Here is the filtered table including only NVIDIA GeForce GTX series GPUs with a memory bandwidth of 256 GB/s or greater and at least 8 GB of VRAM:
| GPU Model | Total VRAM | Memory Bandwidth | Bus Width | Memory Type |
|---|---|---|---|---|
| GeForce GTX 1070 | 8 GB | 256.3 GB/s | 256-bit | GDDR5 |
| GeForce GTX 1070 Ti | 8 GB | 256.3 GB/s | 256-bit | GDDR5 |
| GeForce GTX 1080 | 8 GB | 320.3 GB/s | 256-bit | GDDR5X |
| GeForce GTX Titan X (Maxwell) | 12 GB | 336.5 GB/s | 384-bit | GDDR5 |
| GeForce GTX Titan X (Pascal) | 12 GB | 480.0 GB/s | 384-bit | GDDR5X |
| GeForce GTX 1080 Ti | 11 GB | 484.4 GB/s | 352-bit | GDDR5X |
| GeForce GTX Titan Xp | 12 GB | 547.7 GB/s | 384-bit | GDDR5X |
The table below lists the specifications for the specialized datacenter, enterprise, and crypto-mining NVIDIA cards you mentioned, applying your rule of maintaining a memory bandwidth greater than or equal to 256 GB/s and filtering for 8 GB or more of VRAM.
All five models successfully qualify:
| GPU Model | Total VRAM | Memory Bandwidth | Bus Width | Memory Type | Focus/Architecture |
|---|---|---|---|---|---|
| NVIDIA P104-100 | 8 GB | 320.3 GB/s | 256-bit | GDDR5X | Mining (Pascal) |
| Tesla M40 | 12 GB / 24 GB | 288.4 GB/s | 384-bit | GDDR5 | Datacenter (Maxwell) |
| Tesla P40 | 24 GB | 347.1 GB/s | 384-bit | GDDR5 | Datacenter/AI (Pascal) |
| NVIDIA P102-100 | 10 GB | 400.0 GB/s | 320-bit | GDDR5X | Mining (Pascal) |
| NVIDIA CMP 50HX | 10 GB | 560.0 GB/s | 320-bit | GDDR6 | Mining (Turing) |
Here is the updated AMD Radeon desktop GPU table with all RX 6000 and RX 7000 series models removed, while still filtering for a minimum of 8 GB VRAM and 256 GB/s memory bandwidth:
| GPU Model | Total VRAM | Memory Bandwidth | Bus Width | Memory Type |
|---|---|---|---|---|
| Radeon RX 480 (8 GB) | 8 GB | 256.0 GB/s | 256-bit | GDDR5 |
| Radeon RX 580 (8 GB) | 8 GB | 256.0 GB/s | 256-bit | GDDR5 |
| Radeon RX 590 | 8 GB | 256.0 GB/s | 256-bit | GDDR5 |
| Radeon R9 390 | 8 GB | 384.0 GB/s | 512-bit | GDDR5 |
| Radeon R9 390X | 8 GB | 384.0 GB/s | 512-bit | GDDR5 |
| Radeon RX Vega 56 | 8 GB | 410.0 GB/s | 2048-bit | HBM2 |
| Radeon RX 5700 | 8 GB | 448.0 GB/s | 256-bit | GDDR6 |
| Radeon RX 5700 XT | 8 GB | 448.0 GB/s | 256-bit | GDDR6 |
| Radeon RX Vega 64 | 8 GB | 483.8 GB/s | 2048-bit | HBM2 |
| Radeon VII | 16 GB | 1,024.0 GB/s | 4096-bit | HBM2 |
Note: MI50 and the Radeon VII, Radeon Pro VII share same firmware.
| GPU Model | Total VRAM | Memory Bandwidth | Bus Width | Memory Type | Focus / Architecture |
|---|---|---|---|---|---|
| Radeon Instinct MI25 | 16 GB | 484.0 GB/s | 2048-bit | HBM2 | Machine Learning (Vega 10) |
| Radeon Instinct MI50 | 16 GB / 32 GB | 1,024.0 GB/s | 4096-bit | HBM2 | Datacenter AI (Vega 20) |
Top Contender: AMD Instinct MI50 16GB. Current used market on MI50 16GB is around $150.
[link] [comments]
More from r/LocalLLaMA
-
The AI race: China's open-weight models trail US closed models by just 7 months
Oct 14
-
Anthropic Executive Says Open-Source AI Models Are Higher Risk
Oct 14
-
ComfyUI v0.40.0 released
Oct 14
-
So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
Oct 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.