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Instinct MI350X (288GB)

The Instinct MI350X (288GB) provides 288 GB of memory with 8000 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

288 GB

Usable Memory Ceiling

288 GB

Bandwidth

8000 GB/s

Max Inference Class

70B+ Models (Q4)

TDP

1000W

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)Qwen3-32B (32B)Mixtral-8x22B-v0.1 (176B (22B active))Hunyuan 4 Preview (770B (49B active))

Precision:

Best Models to Run on Instinct MI350X (288GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Instinct MI350X (288GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#13

DeepSeek V4.1 Flash

552B (16B active)

INT4

314 tok/s

~164 ms

#31

DeepSeek-V4-Flash-Vision-Exp

290.9B (20.4B active)

INT4
Q8

308 tok/s

191 tok/s

~100 ms

~118 ms

#32

Qwen 3.8 27B

27B

INT4
Q8
FP16

256 tok/s

172 tok/s

100 tok/s

~136 ms

~138 ms

~142 ms

#36

DeepSeek-V4-Flash

284B (13B active)

INT4
Q8

382 tok/s

254 tok/s

~65 ms

~77 ms

#37

MiMo-V2.6-Flash

309B

INT4

35 tok/s

~1.5s

#45

Qwen 3.8 Flash

176B (6B active)

INT4
Q8

495 tok/s

408 tok/s

~32 ms

~32 ms

#46

K2 Horizon 375B A23B

375B (23B active)

INT4

232 tok/s

~157 ms

#51

GLM-4.5

355B (32B active)

INT4

93 tok/s

~204 ms

#59

Sarvam-105B

106B (10.3B active)

INT4
Q8
FP16

408 tok/s

315 tok/s

209 tok/s

~71 ms

~71 ms

~73 ms

#68

GLM-4.7

358B (32B active)

INT4

92 tok/s

~204 ms

#71

Qwen3.5-397B-A17B

397B (17B active)

INT4

261 tok/s

~131 ms

#74

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

508 tok/s

445 tok/s

348 tok/s

~29 ms

~30 ms

~30 ms

#76

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8
FP16

489 tok/s

411 tok/s

289 tok/s

~51 ms

~51 ms

~57 ms

#80

GLM-5.3 Flash

313.3B (17.3B active)

INT4

335 tok/s

~85 ms

#82

Qwen3.5-27B

27B

INT4
Q8
FP16

256 tok/s

172 tok/s

100 tok/s

~136 ms

~138 ms

~142 ms

#88

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

547 tok/s

503 tok/s

423 tok/s

~21 ms

~22 ms

~22 ms

#95

Muse Glimmer 30B

30B

INT4
Q8
FP16

240 tok/s

159 tok/s

91 tok/s

~151 ms

~153 ms

~157 ms

#96

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

304 tok/s

236 tok/s

156 tok/s

~74 ms

~75 ms

~77 ms

#97

MiMo V2 Flash

15B (309B active)

INT4
Q8
FP16

35 tok/s

20 tok/s

10 tok/s

~1.5s

~1.5s

~1.5s

#102

Inkling-Small

276B (12B active)

INT4

128 tok/s

~100 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 MI350X (288GB).

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 8000 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 1778 tok/s on an 8B Q4 model and 211 tok/s on a 70B Q4 model.

Frequently Asked Questions