AMD Instinct MI50 32GB for local LLMs
Written by Jakub Rusinowski · Last updated
With 32 GB of HBM2 at 1,024 GB/s, the AMD Instinct MI50 32GB runs 110 catalogued models at Q4_K_M with 8K context. The largest that fits is Gemma 3 27B Instruct (~25.4 GB), and the top pick is Qwen 3.6 35B-A3B.
32 GB of HBM2 at about 1 TB/s, 300 W, passively cooled. Cheap on the used market. AMD has ended official ROCm support for this card; Vulkan builds of llama.cpp and community ROCm builds still run it. No speed calibration for Vega: fit verdicts only.
Models that run on the AMD Instinct MI50 32GB
Q4_K_M, 8K context, 32 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 32 GB | VRAM | Speed |
|---|---|---|---|
| Qwen 3.6 35B-A3B Qwen 3.6 | 21.9 GB | — | |
| Nex-N2.5 mini Nex-N2.5 | 21.9 GB | — | |
| Nex-N2 mini Nex-N2 | 21.9 GB | — | |
| Qwen 3.5 35B-A3B Qwen 3.5 | 21.9 GB | — | |
| Laguna XS 2.1 33B-A3B Poolside Laguna XS 2.1 | 20.7 GB | — | |
| Qwen 3 32B Qwen 3 | 22.8 GB | — | |
| Aya Expanse 32B Aya Expanse | 21.6 GB | — | |
| EXAONE 3.5 32B EXAONE 3.5 | 22.3 GB | — | |
| Cogito v1 32B Cogito v1 | 22.3 GB | — | |
| Granite 4.0 Small-H 32B-A9B IBM Granite 4.0 | 20.1 GB | — | |
| Olmo 3 32B Olmo 3 | 20.1 GB | — | |
| DeepSeek R1 Distill Qwen 32B DeepSeek R1 | 22.3 GB | — |
Buy it or rent the same memory
Buy the card, or rent a GPU with the same memory by the hour to try models first.
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Speed vs other GPUs
Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated
Specifications
Specs last updated 2026-10-07.
- Memory
- 32 GB HBM2
- Memory bandwidth
- 1,024 GB/s
- Memory bus
- 4096-bit
- Architecture
- GCN 5 Vega 20
- Series
- Instinct
- Board power
- 300 W
- Release year
- 2018
- Compute backends
- ROCM, VULKAN
- Usable for models
- 32 GB
Similar GPUs
Frequently asked questions
Can the AMD Instinct MI50 32GB run local LLMs?
Yes. With 32 GB (32 GB usable by a model) it runs 110 of the catalogued models at Q4_K_M with 8K context; the largest is Gemma 3 27B Instruct, needing about 25.4 GB.
How fast is the AMD Instinct MI50 32GB for AI inference?
This site has no speed calibration for the GCN 5 Vega 20 architecture, so it publishes fit verdicts for this card but no tokens-per-second estimate. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable.
What LLMs can I run on 32 GB?
Among the best that fit: Qwen 3.6 35B-A3B, Nex-N2.5 mini, Nex-N2 mini, Qwen 3.5 35B-A3B, Laguna XS 2.1 33B-A3B.