AMD Radeon AI PRO R9600D for local LLMs
Written by Jakub Rusinowski · Last updated
With 32 GB of GDDR6 at 640 GB/s, the AI PRO R9600D runs 139 catalogued models at Q4_K_M with 8K context. The largest that fits is K2 Horizon MoVA 36B-A4B (~25 GB), and the top pick is K2 Horizon MoVA 36B-A4B at 52–108 tok/s.
A cut-down Radeon AI PRO R9700: the same 32 GB of GDDR6 on a 256-bit bus at 640 GB/s, with 48 compute units and a 150 W single-slot board. The cheapest-to-run 32 GB card in the catalogue; no launch price was published.
Models that run on the AI PRO R9600D
Q4_K_M, 8K context, 32 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 32 GB | VRAM | Speed |
|---|---|---|---|
| K2 Horizon MoVA 36B-A4B K2 Horizon | 25 GB | 52–108 tok/s | |
| Qwen 3.6 35B-A3B Qwen 3.6 | 22.2 GB | 81–167 tok/s | |
| Nex-N2.5 mini Nex-N2.5 | 21.9 GB | 55–115 tok/s | |
| Nex-N2 mini Nex-N2 | 21.9 GB | 55–115 tok/s | |
| Qwen 3.5 35B-A3B Qwen 3.5 | 21.9 GB | 55–115 tok/s | |
| Jais 3 32B Jais 3 | 24 GB | 12–24 tok/s | |
| Laguna XS 2.1 33B-A3B Poolside Laguna XS 2.1 | 20.7 GB | 56–116 tok/s | |
| EXAONE 4.5 33B EXAONE 4 | 22.3 GB | 13–26 tok/s | |
| Qwen 3 32B Qwen 3 | 22.8 GB | 12–26 tok/s | |
| Aya Expanse 32B Aya Expanse | 21.6 GB | 13–27 tok/s | |
| Olmo 3.1 32B Instruct Olmo 3 | 21.7 GB | 13–27 tok/s | |
| Olmo 3.1 32B Think Olmo 3 | 21.7 GB | 13–27 tok/s |
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 2026-11-11.
- Memory
- 32 GB GDDR6
- Memory bandwidth
- 640 GB/s
- Memory bus
- 256-bit
- Architecture
- RDNA 4 Navi 48
- Series
- Radeon AI PRO
- Board power
- 150 W
- Release year
- 2026
- Compute backends
- ROCM, VULKAN
- Usable for models
- 32 GB
Similar GPUs
Frequently asked questions
Can the AMD Radeon AI PRO R9600D run local LLMs?
Yes. With 32 GB (32 GB usable by a model) it runs 139 of the catalogued models at Q4_K_M with 8K context; the largest is K2 Horizon MoVA 36B-A4B, needing about 25 GB.
How fast is the AMD Radeon AI PRO R9600D for AI inference?
It is estimated to run Llama 3.1 8B at 42–87 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 32 GB?
Among the best that fit: K2 Horizon MoVA 36B-A4B, Qwen 3.6 35B-A3B, Nex-N2.5 mini, Nex-N2 mini, Qwen 3.5 35B-A3B.