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NVIDIA RTX 3080

10 GB VRAM320 W TDP2 providers20 offerings9 regions

The NVIDIA RTX 3080 is a consumer-grade GPU built on the Ampere architecture, featuring 10 GB of memory with 760 GB/s of memory bandwidth and a 320 W TDP. It delivers 29.8 TFLOPS of FP32 performance. Currently available from 2 providers starting at $0.03/GPU/hour, with a market median of $0.14/GPU/hour across 20 configurations.

Cheapest
$0.030/hr
Vast.ai
Median
$0.140/hr
across 20 offerings
Most expensive
$0.250/hr
Vast.ai
90-day trend
-37.8%
median rate

Hardware specifications

Same across all providers

Memory
10 GB
GDDR6X
What LLMs fit? ↓
TDP
320 W
Memory bandwidth
760 GB/s
Architecture
Ampere
FP32 performance
29.8 TFLOPS
Brand
NVIDIA
Series
GeForce RTX
Market price history

Median price across all providers

Prices updated 1 hour ago

2 offerings from 2 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Vast.ai logoVast.aiReferral linkTrendingCheapest
×11663 GB
ChinaUnited StatesCanada+4
From$0.030
-8.7% 30d
From$0.03
Launch
×11258 GB
FinlandUkraine
From$0.130
-2.4% 30d
From$0.13
Launch

LLMs that fit on the NVIDIA RTX 3080

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 10 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
Laguna-S 2.1
Poolside
118B
8B active
Not released
155 GB
Too large
90 GB
Tight on 8× · 6% spare
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
8× · 1.7 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
Tight on 8× · 11% spare
47 GB
6× · 13 GB free
28 GB
6× · 32 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
8× · 1.4 GB free
43 GB
6× · 17 GB free
25 GB
6× · 35 GB free
Gemma 4 31B
Google
31.3B
75 GB
8× · 4.9 GB free
41 GB
6× · 19 GB free
24 GB
6× · 36 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
8× · 5.1 GB free
41 GB
6× · 19 GB free
24 GB
6× · 36 GB free
or 2× · 0% spare
Qwen3.6 27B
Alibaba
27.8B
67 GB
8× · 13 GB free
or 6× · 7% spare
37 GB
6× · 23 GB free
21 GB
6× · 39 GB free
or 2× · 12% spare
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
6× · 2.4 GB free
32 GB
6× · 28 GB free
18 GB
2× · 1.6 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
2× · 3.5 GB free
Gemma 3 12B
Google
12.2B
29 GB
6× · 31 GB free
16 GB
2× · 3.9 GB free
9.4 GB
Barely fits on 1×
Granite 4.1 8B
IBM
8.8B
21 GB
6× · 39 GB free
or 2× · 13% spare
12 GB
2× · 8.4 GB free
or 1× · 3% spare
6.8 GB
1× · 3.2 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
Barely fits on 2×
11 GB
2× · 9.2 GB free
or 1× · 10% spare
6.3 GB
1× · 3.7 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 3080 cost per hour?
The RTX 3080 starts at $0.03 per GPU-hour, with a median of $0.14 across 20 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 3080?
2 providers currently list the RTX 3080: Theta EdgeCloud, Vast.ai. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 3080 have?
The RTX 3080 comes with 10 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 3080?
With 10 GB of VRAM, a single RTX 3080 can serve models such as Gemma 3 12B, Granite 4.1 8B, Qwen3 8B. 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 3080 GPUs?
The largest models we track that fit across several RTX 3080 cards are gpt-oss-120b on 8 GPUs at 4-bit, Qwen3.6 35B-A3B on 6 GPUs at 8-bit, Qwen3 32B on 6 GPUs at 8-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 3080 cheapest?
The lowest on-demand price we currently track for the RTX 3080 is $0.03 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.