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AMD Instinct MI300X

192 GB VRAM1,307 FP16 TFLOPS750 W TDP3 providers6 offerings3 regions

The AMD Instinct MI300X is an enterprise-class GPU built on the CDNA 3 architecture, featuring 192 GB of memory with 5,200 GB/s of memory bandwidth and a 750 W TDP. It delivers 163.4 TFLOPS of FP32 performance and 1,307 TFLOPS of FP16 tensor performance. Currently available from 3 providers starting at $1.71/GPU/hour, with a market median of $2.80/GPU/hour across 6 configurations.

Cheapest
$1.710/hr
TensorWave
Median
$2.796/hr
across 6 offerings
Most expensive
$2.869/hr
Cyfuture AI
90-day trend
+63.5%
median rate

Hardware specifications

Same across all providers

Memory
192 GB
HBM3
What LLMs fit? ↓
FP16 performance
1,307 TFLOPS
peak
TDP
750 W
Memory bandwidth
5,200 GB/s
Architecture
CDNA 3
FP32 performance
163.4 TFLOPS
Brand
AMD
Series
Instinct MI
Market price history

Median price across all providers

Prices updated 2 hours ago

3 offerings from 3 providers

Sorted by price ascending. Compare configurations side-by-side.

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Runpod logoRunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×124283 GB
Romania
$2.390$2.39Launch
TensorWave logoTensorWaveCheapest
×1
United States
$1.710
$1.71
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×124283 GB
Romania
$2.390
$2.39
Launch
Up to$1credit
×81281.5 TB
India
From$2.781
+0.2% 30d
From$22.25
Launch

LLMs that fit on the AMD Instinct MI300X

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 192 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Pro
DeepSeek
1.6T
49B active
Not released
Not released
1,038 GB
8× · 498 GB free
Kimi K2.5
Moonshot AI
1T
32B active
Not released
Not released
714 GB
4× · 54 GB free
GLM-5.2
Z.ai
753B
1,808 GB
Tight on 8× · 1% spare
994 GB
8× · 542 GB free
579 GB
4× · 189 GB free
DeepSeek R1
DeepSeek
671B
37B active
Not released
826 GB
8× · 710 GB free
or 4× · 11% spare
481 GB
4× · 287 GB free
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
Barely fits on 1×
Solar Open2 250B
Upstage
250B
15B active
601 GB
4× · 167 GB free
330 GB
2× · 54 GB free
192 GB
2× · 192 GB free
or 1× · 19% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
4× · 204 GB free
310 GB
2× · 74 GB free
181 GB
1× · 11 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
2× · 102 GB free
155 GB
1× · 37 GB free
90 GB
1× · 102 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
1× · 114 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 106 GB free
47 GB
1× · 145 GB free
28 GB
1× · 164 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 113 GB free
43 GB
1× · 149 GB free
25 GB
1× · 167 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 117 GB free
41 GB
1× · 151 GB free
24 GB
1× · 168 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 does the Instinct MI300X cost per hour?
The Instinct MI300X starts at $1.71 per GPU-hour, with a median of $2.80 across 6 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the Instinct MI300X?
3 providers currently list the Instinct MI300X: Cyfuture AI, TensorWave, Runpod. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the Instinct MI300X have?
The Instinct MI300X comes with 192 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 MI300X?
With 192 GB of VRAM, a single Instinct MI300X can serve models such as DeepSeek V4 Flash, Qwen3 235B-A22B, Laguna-S 2.1, gpt-oss-120b. 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.
What's the biggest LLM I can run on multiple Instinct MI300X GPUs?
The largest models we track that fit across several Instinct MI300X cards are DeepSeek V4 Pro on 8 GPUs at 4-bit, Kimi K2.5 on 4 GPUs at 4-bit, GLM-5.2 on 4 GPUs at 4-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.
Where is the Instinct MI300X cheapest?
The lowest on-demand price we currently track for the Instinct MI300X is $1.71 per GPU-hour at TensorWave. Because providers update pricing and availability frequently, check the live table above before you launch.