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Instinct MI300A (128GB)

The Instinct MI300A (128GB) provides 128 GB of memory with 5300 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

128 GB

Usable Memory Ceiling

128 GB

Bandwidth

5300 GB/s

Max Inference Class

70B+ Models (Q4)

TDP

550W

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)OLMo 3.1 32B Instruct (32B)GLM-4.5-Air (106B (12B active))Llama 3.1 405B (405B)

Precision:

Best Models to Run on Instinct MI300A (128GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Instinct MI300A (128GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#33

Qwen 3.8 27B

27B

INT4
Q8
FP16

195 tok/s

125 tok/s

69 tok/s

~348 ms

~351 ms

~357 ms

#41

Qwen 3.8 Flash

176B (6B active)

INT4

437 tok/s

~77 ms

#48

Agnes 3.0 Flash

33B

INT4
Q8
FP16

169 tok/s

106 tok/s

58 tok/s

~422 ms

~426 ms

~434 ms

#61

Sarvam-105B

106B (10.3B active)

INT4
Q8

341 tok/s

236 tok/s

~179 ms

~195 ms

#72

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

453 tok/s

381 tok/s

280 tok/s

~71 ms

~71 ms

~72 ms

#75

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8

431 tok/s

310 tok/s

~128 ms

~151 ms

#83

Qwen3.5-27B

27B

INT4
Q8
FP16

195 tok/s

125 tok/s

69 tok/s

~348 ms

~351 ms

~357 ms

#84

Qwen3.5-122B-A10B

122B (10B active)

INT4
Q8

294 tok/s

203 tok/s

~183 ms

~216 ms

#92

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

502 tok/s

447 tok/s

357 tok/s

~50 ms

~50 ms

~51 ms

#94

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

482 tok/s

419 tok/s

323 tok/s

~58 ms

~58 ms

~59 ms

#96

Muse Glimmer 30B

30B

INT4
Q8
FP16

181 tok/s

114 tok/s

63 tok/s

~385 ms

~389 ms

~396 ms

#100

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

238 tok/s

177 tok/s

112 tok/s

~185 ms

~187 ms

~190 ms

#101

MiMo V2 Flash

15B (309B active)

INT4
Q8
FP16

24 tok/s

13 tok/s

7 tok/s

~3.8s

~3.8s

~3.9s

#106

GLM-4.5-Air

106B (12B active)

INT4
Q8

136 tok/s

109 tok/s

~204 ms

~240 ms

#108

Gemma 4 26B A4B

25.2B (3.8B active)

INT4
Q8
FP16

465 tok/s

393 tok/s

291 tok/s

~65 ms

~65 ms

~66 ms

#109

Gemma 4 12B

11.95B

INT4
Q8
FP16

260 tok/s

198 tok/s

127 tok/s

~159 ms

~160 ms

~163 ms

#113

Qwen3.5-9B

9B

INT4
Q8
FP16

366 tok/s

270 tok/s

172 tok/s

~121 ms

~122 ms

~124 ms

#114

Qwen3.5-35B-A3B

35B (3B active)

INT4
Q8
FP16

482 tok/s

419 tok/s

323 tok/s

~58 ms

~58 ms

~59 ms

#114

Ling 3.0 Flash

124B (5.1B active)

INT4
Q8

441 tok/s

320 tok/s

~123 ms

~145 ms

#118

K2 Horizon 7B

7B

INT4
Q8
FP16

406 tok/s

311 tok/s

206 tok/s

~95 ms

~96 ms

~98 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

32B 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 MI300A (128GB).

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 5300 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 1178 tok/s on an 8B Q4 model and 139 tok/s on a 70B Q4 model.

Frequently Asked Questions