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NVIDIA RTX PRO 4500

32 GB VRAM3 providers8 offerings2 regions

The NVIDIA RTX PRO 4500 is an enterprise-class GPU built on the Blackwell architecture, featuring 32 GB of memory. Currently available from 3 providers starting at $0.36/GPU/hour, with a market median of $1.06/GPU/hour across 8 configurations.

Cheapest
$0.360/hr
Vast.ai
Median
$1.060/hr
across 8 offerings
Most expensive
$1.400/hr
EmpirioLabs AI
90-day trend
+236.5%
median rate

Hardware specifications

Same across all providers

Architecture
Blackwell
Brand
NVIDIA
Series
RTX PRO
Market price history

Median price across all providers

Prices updated

3 offerings from 3 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
RunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×11262 GB
Romania
$0.720$0.72Launch
Vast.aiReferral linkTrendingCheapest
×1863 GB
United States
From$0.360
+41.1% 30d
From$0.36
Launch
RunpodReferral linkTrending
Up to$500credit
×11262 GB
RomaniaUnited States
$0.720
$0.72
Launch
×11674 GB
United States
$1.400
0.0% 30d
From$1.40
Launch

LLMs that fit on the NVIDIA RTX PRO 4500

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 32 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Flash
DeepSeek
284B
—
Not released
—
Not released
192 GB
8× · 64 GB free
Solar Open2 250B
Upstage
250B
15B active
601 GB
Too large
330 GB
Too large
192 GB
8× · 64 GB free
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
Too large
310 GB
Too large
181 GB
8× · 75 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Tight on 8× · 8% spare
155 GB
8× · 101 GB free
90 GB
4× · 38 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
—
Not released
—
Not released
78 GB
4× · 50 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
4× · 42 GB free
47 GB
2× · 17 GB free
28 GB
1× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
4× · 49 GB free
43 GB
2× · 21 GB free
25 GB
1× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
4× · 53 GB free
or 2× · 2% spare
41 GB
2× · 23 GB free
24 GB
1× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
4× · 53 GB free
or 2× · 2% spare
41 GB
2× · 23 GB free
24 GB
1× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
4× · 61 GB free
or 2× · 15% spare
37 GB
2× · 27 GB free
or 1× · 4% spare
21 GB
1× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
2× · 6.4 GB free
32 GB
Barely fits on 1×
18 GB
1× · 14 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
—
Not released
—
Not released
17 GB
1× · 15 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 RTX PRO 4500 cost per hour?
The RTX PRO 4500 starts at $0.36 per GPU-hour, with a median of $1.06 across 8 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX PRO 4500?
4 providers currently list the RTX PRO 4500: Runpod, EmpirioLabs AI, AceCloud, Vast.ai. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX PRO 4500 have?
The RTX PRO 4500 comes with 32 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 RTX PRO 4500?
With 32 GB of VRAM, a single RTX PRO 4500 can serve models such as Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B, GLM-4.7 Flash. 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 RTX PRO 4500 GPUs?
The largest models we track that fit across several RTX PRO 4500 cards are DeepSeek V4 Flash on 8 GPUs at 4-bit, Solar Open2 250B on 8 GPUs at 4-bit, Qwen3 235B-A22B on 8 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 RTX PRO 4500 cheapest?
The lowest on-demand price we currently track for the RTX PRO 4500 is $0.36 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.