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NVIDIA RTX 3090

24 GB VRAM350 W TDP6 providers60 offerings23 regions

The NVIDIA RTX 3090 is a consumer-grade GPU built on the Ampere architecture, featuring 24 GB of memory with 936 GB/s of memory bandwidth and a 350 W TDP. It delivers 35.6 TFLOPS of FP32 performance. Currently available from 6 providers starting at $0.09/GPU/hour, with a market median of $0.23/GPU/hour across 60 configurations.

Cheapest
$0.090/hr
Akash Network
Median
$0.230/hr
across 60 offerings
Most expensive
$1.300/hr
EmpirioLabs AI
90-day trend
+35.3%
median rate

Hardware specifications

Same across all providers

Memory
24 GB
GDDR6X
What LLMs fit? ↓
TDP
350 W
Memory bandwidth
936 GB/s
Architecture
Ampere
FP32 performance
35.6 TFLOPS
Brand
NVIDIA
Series
GeForce RTX
Market price history

Median price across all providers

Prices updated

6 offerings from 6 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
RunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×13262 GB
Czech Republic
$0.500$0.50Launch
Up to$100credit
×1——
UkraineUnited StatesAustralia
$0.090
0.0% 30d
$0.09
Launch
Vast.aiReferral linkTrending
×23284 GB
Czech RepublicCanadaChina+14
From$0.140
+4.5% 30d
From$0.28
Launch
×12815 GB
United States
From$0.160
+28.6% 30d
From$0.16
Launch
LiumReferral link
Up to$5credit
×1863 GB
RussiaBelarusGermany+4
From$0.180
+38.9% 30d
From$0.18
Launch
RunpodReferral linkTrending
Up to$500credit
×13262 GB
Czech Republic
$0.500
$0.50
Launch
×12462 GB
United States
$1.300
+225.0% 30d
$1.30
Launch

LLMs that fit on the NVIDIA RTX 3090

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 24 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 8×
or 7× · 5% spare
Solar Open2 250B
Upstage
250B
15B active
—
Not released
330 GB
Too large
192 GB
Tight on 7× · 4% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
—
Not released
310 GB
Too large
181 GB
8× · 11 GB free
or 7× · 11% spare
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Too large
155 GB
7× · 13 GB free
90 GB
4× · 5.7 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
—
Not released
—
Not released
78 GB
4× · 18 GB free
or 3× · 10% spare
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
4× · 9.7 GB free
or 3× · 0% spare
47 GB
Barely fits on 2×
28 GB
2× · 20 GB free
or 1× · 4% spare
Qwen3 32B
Alibaba
32.8B
79 GB
4× · 17 GB free
or 3× · 9% spare
43 GB
2× · 4.8 GB free
25 GB
2× · 23 GB free
or 1× · 14% spare
Gemma 4 31B
Google
31.3B
75 GB
4× · 21 GB free
or 3× · 15% spare
41 GB
2× · 6.7 GB free
24 GB
2× · 24 GB free
or 1× · 19% spare
GLM-4.7 Flash
Z.ai
31.2B
75 GB
4× · 21 GB free
or 3× · 15% spare
41 GB
2× · 6.8 GB free
24 GB
Barely fits on 1×
Qwen3.6 27B
Alibaba
27.8B
67 GB
3× · 5.3 GB free
37 GB
2× · 11 GB free
21 GB
1× · 2.7 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
3× · 14 GB free
32 GB
2× · 16 GB free
18 GB
1× · 5.6 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
—
Not released
—
Not released
17 GB
1× · 7.5 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 3090 cost per hour?
The RTX 3090 starts at $0.09 per GPU-hour, with a median of $0.23 across 60 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 3090?
6 providers currently list the RTX 3090: Runpod, Theta EdgeCloud, Akash Network, Vast.ai, Lium, EmpirioLabs AI. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 3090 have?
The RTX 3090 comes with 24 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 3090?
With 24 GB of VRAM, a single RTX 3090 can serve models such as GLM-4.7 Flash, Qwen3.6 27B, Mistral Small 3.2 24B, gpt-oss-20b. 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 3090 GPUs?
The largest models we track that fit across several RTX 3090 cards are DeepSeek V4 Flash on 8 GPUs at 4-bit, Qwen3 235B-A22B on 8 GPUs at 4-bit, Laguna-S 2.1 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 3090 cheapest?
The lowest on-demand price we currently track for the RTX 3090 is $0.09 per GPU-hour at Akash Network. Because providers update pricing and availability frequently, check the live table above before you launch.