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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)Sarvam-30B (32B (2.4B active))GLM-130B (130B)Muse Spark Open 816B A42B (816B)

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

#14

DeepSeek V4.1 Flash

552B (16B active)

INT4

600 tok/s

~5 ms

#29

DeepSeek-V4-Flash-Vision-Exp

290.9B (20.4B active)

INT4
Q8

667 tok/s

600 tok/s

~6 ms

~6 ms

#40

Qwen 3.8 Flash

176B (6B active)

INT4
Q8

667 tok/s

667 tok/s

~4 ms

~4 ms

#41

MiMo-V2.6-Flash

309B

INT4

667 tok/s

~34 ms

#46

Qwen 3.8 27B

27B

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~6 ms

~6 ms

~6 ms

#51

Qwen3 235B A22B Thinking

235B (22B active)

INT4
Q8

667 tok/s

633 tok/s

~6 ms

~6 ms

#52

Qwen3.5-397B-A17B

397B (17B active)

INT4

667 tok/s

~5 ms

#55

DeepSeek-V4-Flash

284B (13B active)

INT4
Q8

667 tok/s

600 tok/s

~5 ms

~5 ms

#57

GLM-4.5

355B (32B active)

INT4

667 tok/s

~7 ms

#64

MiniMax M3.1 Flash

428B (23B active)

INT4

667 tok/s

~6 ms

#66

GLM-5.3 Flash

313.3B (17.3B active)

INT4

667 tok/s

~5 ms

#69

Sarvam-105B

106B (10.3B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~5 ms

~5 ms

~5 ms

#75

K2 Horizon 375B A23B

375B (23B active)

INT4

667 tok/s

~6 ms

#79

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~4 ms

~4 ms

~4 ms

#80

GLM-4.7

358B (32B active)

INT4

667 tok/s

~7 ms

#85

Ling 3.0 Flash VL

124B (5.5B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

633 tok/s

~4 ms

~4 ms

~4 ms

#89

Qwen3.5-27B

27B

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~6 ms

~6 ms

~6 ms

#94

Qwen3.5-122B-A10B

122B (10B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

633 tok/s

~5 ms

~5 ms

~5 ms

#100

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~4 ms

~4 ms

~4 ms

#102

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

667 tok/s

667 tok/s

667 tok/s

~4 ms

~4 ms

~4 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