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Instinct MI300X (192GB)

The Instinct MI300X (192GB) provides 192 GB of memory with 5300 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

192 GB

Usable Memory Ceiling

192 GB

Bandwidth

5300 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)Qwen2.5-32B (32B)Qwen3.5-122B-A10B (122B (10B active))DeepSeek V4.1 Flash (552B (16B active))

Precision:

Best Models to Run on Instinct MI300X (192GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Instinct MI300X (192GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#30

DeepSeek-V4-Flash-Vision-Exp

290.9B (20.4B active)

INT4

242 tok/s

~193 ms

#33

Qwen 3.8 27B

27B

INT4
Q8
FP16

195 tok/s

125 tok/s

69 tok/s

~265 ms

~268 ms

~274 ms

#40

MiMo-V2.6-Flash

309B

INT4

22 tok/s

~3.2s

#41

Qwen 3.8 Flash

176B (6B active)

INT4
Q8

437 tok/s

324 tok/s

~60 ms

~65 ms

#42

DeepSeek-V4-Flash

284B (13B active)

INT4

313 tok/s

~125 ms

#43

K2 Horizon 375B A23B

375B (23B active)

INT4

157 tok/s

~361 ms

#48

Agnes 3.0 Flash

33B

INT4
Q8
FP16

169 tok/s

106 tok/s

58 tok/s

~321 ms

~325 ms

~333 ms

#61

Sarvam-105B

106B (10.3B active)

INT4
Q8

341 tok/s

248 tok/s

~136 ms

~138 ms

#72

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

453 tok/s

381 tok/s

280 tok/s

~54 ms

~55 ms

~56 ms

#75

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8

431 tok/s

344 tok/s

~98 ms

~98 ms

#80

GLM-5.3 Flash

313.3B (17.3B active)

INT4

254 tok/s

~178 ms

#82

Qwen3 235B A22B Thinking

235B (22B active)

INT4

91 tok/s

~272 ms

#83

Qwen3.5-27B

27B

INT4
Q8
FP16

195 tok/s

125 tok/s

69 tok/s

~265 ms

~268 ms

~274 ms

#84

Qwen3.5-122B-A10B

122B (10B active)

INT4
Q8

294 tok/s

226 tok/s

~140 ms

~141 ms

#92

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

502 tok/s

447 tok/s

357 tok/s

~39 ms

~39 ms

~40 ms

#94

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

482 tok/s

419 tok/s

323 tok/s

~45 ms

~45 ms

~46 ms

#96

Muse Glimmer 30B

30B

INT4
Q8
FP16

181 tok/s

114 tok/s

63 tok/s

~293 ms

~296 ms

~304 ms

#100

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

238 tok/s

177 tok/s

112 tok/s

~142 ms

~143 ms

~146 ms

#101

MiMo V2 Flash

15B (309B active)

INT4
Q8
FP16

24 tok/s

13 tok/s

7 tok/s

~2.9s

~2.9s

~3.0s

#105

Inkling-Small

276B (12B active)

INT4

86 tok/s

~208 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 MI300X (192GB).

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