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AMD Instinct MI350X

288 GB VRAM2,300 FP16 TFLOPS1,000 W TDP0 providers0 offerings0 regions

The AMD Instinct MI350X is an enterprise-class GPU built on the CDNA 4 architecture, featuring 288 GB of memory with 8,000 GB/s of memory bandwidth and a 1,000 W TDP. It delivers 144.2 TFLOPS of FP32 performance and 2,300 TFLOPS of FP16 tensor performance.

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Hardware specifications

Same across all providers

Memory
288 GB
What LLMs fit? ↓
FP16 performance
2,300 TFLOPS
peak
TDP
1000 W
Memory bandwidth
8,000 GB/s
Architecture
CDNA 4
FP32 performance
144.2 TFLOPS
Brand
AMD
Series
Instinct MI
Market price history

Median price across all providers

Prices updated 5 hours ago

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LLMs that fit on the AMD Instinct MI350X

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 288 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Flash
DeepSeek
284B
—
Not released
—
Not released
192 GB
1× · 96 GB free
Solar Open2 250B
Upstage
250B
15B active
601 GB
Too large
330 GB
Tight on 1× · 4% spare
192 GB
1× · 96 GB free
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
Too large
310 GB
Tight on 1× · 11% spare
181 GB
1× · 107 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
1× · 5.8 GB free
155 GB
1× · 133 GB free
90 GB
1× · 198 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
—
Not released
—
Not released
78 GB
1× · 210 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 202 GB free
47 GB
1× · 241 GB free
28 GB
1× · 260 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 209 GB free
43 GB
1× · 245 GB free
25 GB
1× · 263 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 213 GB free
41 GB
1× · 247 GB free
24 GB
1× · 264 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
1× · 213 GB free
41 GB
1× · 247 GB free
24 GB
1× · 264 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
1× · 221 GB free
37 GB
1× · 251 GB free
21 GB
1× · 267 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
1× · 230 GB free
32 GB
1× · 256 GB free
18 GB
1× · 270 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
—
Not released
—
Not released
17 GB
1× · 271 GB free

Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead

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Frequently asked questions

How much VRAM does the Instinct MI350X have?
The Instinct MI350X comes with 288 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Which LLMs can I run on the Instinct MI350X?
With 288 GB of VRAM, a single Instinct MI350X can serve models such as DeepSeek V4 Flash, Solar Open2 250B, Qwen3 235B-A22B, Laguna-S 2.1. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.