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Instinct MI325X (256GB)

The Instinct MI325X (256GB) provides 256 GB of memory with 6000 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

256 GB

Usable Memory Ceiling

256 GB

Bandwidth

6000 GB/s

Max Inference Class

70B+ Models (Q4)

TDP

750W

VRAM Scaling by Context Length

Estimated memory requirements as context length increases. Curves crossing above the reference line indicate Out of Memory (OOM).

DeepSeek-R1 14B (14B)Agnes 3.0 Flash (33B)Mixtral-8x22B-v0.1 (176B (22B active))Hunyuan 4 Preview (770B (49B active))

Precision:

Best Models to Run on Instinct MI325X (256GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Instinct MI325X (256GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#30

DeepSeek-V4-Flash-Vision-Exp

290.9B (20.4B active)

INT4

261 tok/s

~193 ms

#33

Qwen 3.8 27B

27B

INT4
Q8
FP16

212 tok/s

138 tok/s

78 tok/s

~264 ms

~267 ms

~273 ms

#40

MiMo-V2.6-Flash

309B

INT4

27 tok/s

~2.9s

#41

Qwen 3.8 Flash

176B (6B active)

INT4
Q8

455 tok/s

362 tok/s

~60 ms

~60 ms

#42

DeepSeek-V4-Flash

284B (13B active)

INT4

334 tok/s

~124 ms

#43

K2 Horizon 375B A23B

375B (23B active)

INT4

191 tok/s

~307 ms

#48

Agnes 3.0 Flash

33B

INT4
Q8
FP16

185 tok/s

117 tok/s

65 tok/s

~321 ms

~324 ms

~331 ms

#50

Qwen3.5-397B-A17B

397B (17B active)

INT4

206 tok/s

~278 ms

#54

GLM-4.5

355B (32B active)

INT4

68 tok/s

~428 ms

#61

Sarvam-105B

106B (10.3B active)

INT4
Q8
FP16

362 tok/s

268 tok/s

162 tok/s

~136 ms

~137 ms

~151 ms

#68

GLM-4.7

358B (32B active)

INT4

68 tok/s

~428 ms

#72

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

470 tok/s

401 tok/s

301 tok/s

~54 ms

~55 ms

~56 ms

#75

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8
FP16

449 tok/s

365 tok/s

232 tok/s

~98 ms

~98 ms

~116 ms

#80

GLM-5.3 Flash

313.3B (17.3B active)

INT4

287 tok/s

~164 ms

#82

Qwen3 235B A22B Thinking

235B (22B active)

INT4
Q8

101 tok/s

78 tok/s

~270 ms

~319 ms

#83

Qwen3.5-27B

27B

INT4
Q8
FP16

212 tok/s

138 tok/s

78 tok/s

~264 ms

~267 ms

~273 ms

#84

Qwen3.5-122B-A10B

122B (10B active)

INT4
Q8
FP16

315 tok/s

245 tok/s

146 tok/s

~140 ms

~141 ms

~167 ms

#92

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

517 tok/s

465 tok/s

377 tok/s

~39 ms

~39 ms

~40 ms

#94

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

498 tok/s

438 tok/s

344 tok/s

~45 ms

~45 ms

~46 ms

#96

Muse Glimmer 30B

30B

INT4
Q8
FP16

198 tok/s

127 tok/s

71 tok/s

~293 ms

~296 ms

~302 ms

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

70B+ Models

8-bit

Q8

70B Models

16-bit

FP16

70B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

70B+ Models

LoRA

16-bit

70B Models

Full Parameter Training

7B-8B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on Instinct MI325X (256GB).

Inference Sweet Spot

Suitable for 70B parameter models at Q4/Q8 with extended 32k context windows, or high-throughput batching of smaller dense architectures.

Bandwidth & Speed Profile

With 6000 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 1333 tok/s on an 8B Q4 model and 158 tok/s on a 70B Q4 model.

Frequently Asked Questions