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NVIDIA RTX PRO 5000

48 GB VRAM2 providers13 offerings3 regions

The NVIDIA RTX PRO 5000 is an enterprise-class GPU built on the Blackwell architecture, featuring 48 GB of memory. Currently available from 2 providers starting at $0.53/GPU/hour, with a market median of $0.96/GPU/hour across 13 configurations.

Cheapest
$0.530/hr
Vast.ai
Median
$0.960/hr
across 13 offerings
Most expensive
$1.670/hr
Vast.ai
90-day trend
+43.3%
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 43 minutes ago

2 offerings from 2 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.
×1--$0.960$0.96Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×41281,002 GB
United StatesCanadaCzech Republic
From$0.530
+31.1% 30d
From$2.12
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×1--
$0.960
$0.96
Launch

LLMs that fit on the NVIDIA RTX PRO 5000

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 48 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
Barely fits on 4×
Solar Open2 250B
Upstage
250B
15B active
601 GB
Too large
330 GB
8× · 54 GB free
192 GB
8× · 192 GB free
or 4× · 19% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
Too large
310 GB
8× · 74 GB free
181 GB
4× · 11 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
8× · 102 GB free
155 GB
4× · 37 GB free
90 GB
2× · 5.7 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
2× · 18 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
2× · 9.7 GB free
47 GB
Barely fits on 1×
28 GB
1× · 20 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
2× · 17 GB free
43 GB
1× · 4.8 GB free
25 GB
1× · 23 GB free
Gemma 4 31B
Google
31.3B
75 GB
2× · 21 GB free
41 GB
1× · 6.7 GB free
24 GB
1× · 24 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
2× · 21 GB free
41 GB
1× · 6.8 GB free
24 GB
1× · 24 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
2× · 29 GB free
37 GB
1× · 11 GB free
21 GB
1× · 27 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
2× · 38 GB free
32 GB
1× · 16 GB free
18 GB
1× · 30 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
1× · 31 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 5000 cost per hour?
The RTX PRO 5000 starts at $0.53 per GPU-hour, with a median of $0.96 across 13 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 5000?
2 providers currently list the RTX PRO 5000: Vast.ai, Runpod. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX PRO 5000 have?
The RTX PRO 5000 comes with 48 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 5000?
With 48 GB of VRAM, a single RTX PRO 5000 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 5000 GPUs?
The largest models we track that fit across several RTX PRO 5000 cards are DeepSeek V4 Flash on 4 GPUs at 4-bit, Solar Open2 250B on 8 GPUs at 8-bit, Qwen3 235B-A22B 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 RTX PRO 5000 cheapest?
The lowest on-demand price we currently track for the RTX PRO 5000 is $0.53 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.