Supported Accelerator Models

Supported Accelerator Models#

AIMs support several accelerator models at varying support levels, determined by the types of profiles included in a given AIM. There are the following profile types (from the most optimized to the least optimized):

  • "optimized": Performance-tuned profiles with benchmarked configurations for specific model/hardware combinations

  • "preview": Performance-tuned profiles that do not reach the same level of performance as "optimized" profiles, intended for early access to new configurations

  • "unoptimized": Basic profiles with default or minimal tuning, suitable as starting points for experimentation

  • "general": Generic profiles applicable across multiple models, providing baseline configurations when model-specific profiles are unavailable

If an AIM contains at least one optimized profile for a specific accelerator model, then the support level for that accelerator model is also optimized. If there are no optimized profiles but at least one preview profile, then the support level is preview. If there are no optimized or preview profiles but there are model-specific unoptimized profiles, then the support level is unoptimized. Otherwise, the support level is general.

The supported accelerator models and their support levels for each AIM are based on the latest public release and are summarized in the table below.

ROCm version

ROCm 7.0.2 is recommended. ROCm 7.2.x is currently not supported.

# AIM MI250X MI300X MI325X MI350X MI355X
1 CohereLabs/command-a-reasoning-08-2025 unoptimized optimized unoptimized optimized optimized
2 deepseek-ai/DeepSeek-R1 general optimized unoptimized optimized optimized
3 deepseek-ai/DeepSeek-R1-0528 general optimized unoptimized optimized optimized
4 deepseek-ai/DeepSeek-V3.1 general optimized unoptimized optimized optimized
5 deepseek-ai/DeepSeek-V3.1-Terminus general optimized unoptimized optimized optimized
6 google/gemma-3-1b-it general optimized unoptimized optimized optimized
7 google/gemma-3-27b-it general optimized unoptimized optimized optimized
8 google/gemma-4-31B-it general optimized unoptimized optimized optimized
9 google/medgemma-27b-it general optimized unoptimized optimized optimized
10 meta-llama/Llama-3.1-405B-Instruct general optimized unoptimized optimized optimized
11 meta-llama/Llama-3.1-8B-Instruct general optimized unoptimized optimized optimized
12 meta-llama/Llama-3.2-1B-Instruct general preview unoptimized optimized optimized
13 meta-llama/Llama-3.2-3B-Instruct general optimized unoptimized optimized optimized
14 meta-llama/Llama-3.3-70B-Instruct general optimized unoptimized optimized optimized
15 MiniMaxAI/MiniMax-M2.5 general optimized unoptimized optimized optimized
16 MiniMaxAI/MiniMax-M3 general optimized optimized optimized optimized
17 mistralai/Ministral-3-14B-Instruct-2512 general unoptimized unoptimized optimized optimized
18 mistralai/Ministral-3-14B-Reasoning-2512 general unoptimized unoptimized optimized optimized
19 mistralai/Mistral-Large-3-675B-Instruct-2512 general optimized unoptimized optimized optimized
20 mistralai/Mistral-Small-24B-Instruct-2501 general optimized unoptimized optimized optimized
21 mistralai/Mistral-Small-3.2-24B-Instruct-2506 general optimized unoptimized optimized optimized
22 mistralai/Mixtral-8x22B-Instruct-v0.1 general optimized unoptimized optimized optimized
23 mistralai/Mixtral-8x7B-Instruct-v0.1 general optimized unoptimized optimized optimized
24 openai/gpt-oss-120b unoptimized optimized unoptimized optimized optimized
25 openai/gpt-oss-20b unoptimized optimized unoptimized optimized optimized
26 Qwen/Qwen3-235B-A22B general optimized unoptimized optimized optimized
27 Qwen/Qwen3-32B general optimized unoptimized preview preview
28 Qwen/Qwen3-Coder-Next general optimized unoptimized optimized optimized
29 Qwen/Qwen3-VL-235B-A22B-Instruct general optimized unoptimized optimized optimized
30 Qwen/Qwen3-VL-235B-A22B-Thinking general optimized unoptimized optimized optimized
31 zai-org/GLM-4.7 general optimized unoptimized optimized optimized
32 zai-org/GLM-5.2 general optimized optimized general general
# AIM EPYC_9965 EPYC_ZEN4 EPYC_ZEN5
1 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B preview general unoptimized
2 deepseek-ai/DeepSeek-R1-Distill-Qwen-7B optimized general unoptimized
3 google/gemma-3-12b-it optimized general unoptimized
4 google/gemma-3-1b-it preview general unoptimized
5 google/gemma-3-4b-it optimized general unoptimized
6 google/gemma-4-E4B-it preview general unoptimized
7 ibm-granite/granite-3.3-2b-instruct optimized general unoptimized
8 ibm-granite/granite-4.1-3b optimized general unoptimized
9 ibm-granite/granite-4.1-8b optimized general unoptimized
10 meta-llama/Llama-3.1-8B-Instruct preview unoptimized unoptimized
11 meta-llama/Llama-3.2-1B-Instruct preview unoptimized unoptimized
12 meta-llama/Llama-3.2-3B-Instruct preview unoptimized unoptimized
13 microsoft/Phi-3.5-mini-instruct optimized general unoptimized
14 Qwen/Qwen2.5-Coder-7B-Instruct optimized general unoptimized
15 Qwen/Qwen2.5-VL-7B-Instruct preview general unoptimized
16 Qwen/Qwen3-0.6B preview general unoptimized
17 Qwen/Qwen3-1.7B preview general unoptimized
18 Qwen/Qwen3-30B-A3B preview general unoptimized
19 Qwen/Qwen3-4B optimized general unoptimized
20 Qwen/Qwen3-8B preview general unoptimized
21 Qwen/Qwen3.5-4B preview general unoptimized
22 Qwen/Qwen3.5-9B preview general unoptimized
23 Qwen/Qwen3.6-35B-A3B preview general unoptimized
24 unsloth/gpt-oss-20b-BF16 preview general unoptimized
# AIM R9700 W7900
1 google/gemma-3n-E4B-it preview preview
2 meta-llama/Llama-3.1-8B-Instruct preview preview
3 Qwen/Qwen3-VL-8B-Instruct preview preview
4 Qwen/Qwen3.5-9B preview preview
5 zai-org/GLM-4.7-Flash preview preview

The tables should be read as follows:

  • The AIM column contains links to each AIM’s Docker images publicly available on Docker Hub.

  • Accelerator model columns (MI250X, MI300X, MI325X, MI350X, MI355X, …) show the support level for that accelerator in the given AIM.