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租用 AMD MI325.

Name: AMD AMD MI325
Brand: AMD
SKU: mi325

CDNA 3 256GB VRAM 1000W

AI models

Models that run on this GPU.

GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the AMD MI325.

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FAQ

AI models on this GPU.

What AI models can I run on a AMD MI325?

The grid above lists every open-weights model with a recommended GPU configuration for this card. Each row tells you the minimum GPU count and the quantization level (FP16, FP8, INT8, INT4) needed to load the model in 256GB of VRAM.

What's the VRAM minimum to run a model on the AMD MI325?

Rule of thumb: a model needs roughly (parameters × bytes-per-weight × 1.2) of VRAM to load, plus headroom for the KV cache during inference. FP16 = 2 bytes/weight, FP8/INT8 = 1 byte, INT4 = 0.5 bytes. A 70B model at FP16 needs ~168GB; at INT4 it drops to ~42GB and fits a single high-VRAM card.

How does quantization (FP16 vs FP8 vs INT4) affect what fits?

Lower-precision quantization shrinks the memory footprint nearly linearly with the bit count. The trade-off is output quality: FP16 is the reference, FP8 is usually indistinguishable for most prompts, INT8 introduces small quality losses, INT4 is noticeably degraded on reasoning-heavy tasks but fine for chat. The badge on each row tells you which level the recommendation assumes.

Can I fine-tune on the AMD MI325 or only do inference?

Fine-tuning needs 4–8× more VRAM than inference at the same model size — gradients, optimizer state, and activations all live in memory. LoRA / QLoRA cut that overhead dramatically (often 4–10×). The notes column flags whether a row is an inference-only recommendation or includes a fine-tuning path.

Where do these GPU-count recommendations come from?

We curate them from official model cards, community benchmark threads (r/LocalLLaMA, HuggingFace forum), and known-good configurations published by the model makers. Each recommendation has been verified to load at the stated quantization on the listed GPU count — though throughput and context-length still vary by workload.

租用 AMD MI325.

All providers carrying this GPU.

Run these on this GPU.

Frequently asked.

Models that run on this GPU.

Llama 3.2 90B Vision

Qwen: Qwen3 Next 80B A3B Thinking

Qwen: Qwen3 Next 80B A3B Instruct

Qwen3 Next 80B A3b Instruct Fp8

nim/meta/llama-3.2-90b-vision-instruct

Tencent: Hunyuan A13B Instruct

ByteDance Seed: Seed 1.6

Seed-1.8

Llama 3.1 405B

GLM-4.5

Hunyuan-Large

Qwen: Qwen3.5 397B A17B

Nous: Hermes 4 405B

Nous: Hermes 3 405B Instruct

Meta Llama 3.1 405B Instruct

GLM-5

GLM-4.6

DeepSeek V3

DeepSeek R1

Deep Cogito: Cogito v2.1 671B

DeepSeek: DeepSeek V3.2 Exp

DeepSeek: R1 0528

DeepSeek-V3-0324

ByteDance Seed: Seed 1.6

Seed-1.8

Llama 3.1 405B

GLM-4.5

Hunyuan-Large

Qwen: Qwen3.5 397B A17B

Nous: Hermes 4 405B

Nous: Hermes 3 405B Instruct

Meta Llama 3.1 405B Instruct

GLM-5

GLM-4.6

DeepSeek V3

DeepSeek R1

Deep Cogito: Cogito v2.1 671B

DeepSeek: DeepSeek V3.2 Exp

DeepSeek: R1 0528

DeepSeek-V3-0324

Llama 3.1 405B

GLM-4.5

Hunyuan-Large

Qwen: Qwen3.5 397B A17B

Nous: Hermes 4 405B

Nous: Hermes 3 405B Instruct

Meta Llama 3.1 405B Instruct

GLM-5

GLM-4.6

DeepSeek V3

DeepSeek R1

Deep Cogito: Cogito v2.1 671B

DeepSeek: DeepSeek V3.2 Exp

DeepSeek: R1 0528

DeepSeek-V3-0324

AI models on this GPU.