Back to all offerings

NVIDIA RTX 2080 Ti

11 GB VRAM250 W TDP3 providers6 offerings2 regions

The NVIDIA RTX 2080 Ti is a consumer-grade GPU built on the Turing architecture, featuring 11 GB of memory with 616 GB/s of memory bandwidth and a 250 W TDP. It delivers 13.4 TFLOPS of FP32 performance. Currently available from 3 providers starting at $0.06/GPU/hour, with a market median of $0.08/GPU/hour across 6 configurations.

Cheapest
$0.060/hr
Vast.ai
Median
$0.080/hr
across 6 offerings
Most expensive
$0.330/hr
Theta EdgeCloud
90-day trend
-51.5%
median rate

Hardware specifications

Same across all providers

TDP
250 W
Memory bandwidth
616 GB/s
Architecture
Turing
FP32 performance
13.4 TFLOPS
Brand
NVIDIA
Series
GeForce RTX
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
Vast.ai logoVast.aiReferral linkTrendingCheapest
×12024 GB
Hong KongUnited States
From$0.060
0.0% 30d
From$0.06
Launch
×11631 GB--
$0.080
-44.8% 30d
$0.08
Launch
×13663 GB
United States
$0.330
0.0% 30d
$0.33
Launch

LLMs that fit on the NVIDIA RTX 2080 Ti

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 11 GB per GPU.

ModelParameters16-bit8-bit4-bit
Qwen3 32B
Alibaba
32.8B
79 GB
Too large
43 GB
Too large
25 GB
Tight on 2× · 4% spare
Gemma 4 31B
Google
31.3B
75 GB
Too large
41 GB
Too large
24 GB
Tight on 2× · 9% spare
GLM-4.7 Flash
Z.ai
31.2B
75 GB
Too large
41 GB
Too large
24 GB
Tight on 2× · 10% spare
Qwen3.6 27B
Alibaba
27.8B
67 GB
Too large
37 GB
Too large
21 GB
Barely fits on 2×
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
Too large
32 GB
Too large
18 GB
2× · 3.6 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
2× · 5.5 GB free
Gemma 3 12B
Google
12.2B
29 GB
Too large
16 GB
2× · 5.9 GB free
9.4 GB
1× · 1.6 GB free
Granite 4.1 8B
IBM
8.8B
21 GB
Barely fits on 2×
12 GB
2× · 10 GB free
or 1× · 13% spare
6.8 GB
1× · 4.2 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
2× · 2.3 GB free
11 GB
Barely fits on 1×
6.3 GB
1× · 4.7 GB free
Llama 3.1 8B Instruct
Meta
8B
19 GB
2× · 2.7 GB free
11 GB
Barely fits on 1×
6.2 GB
1× · 4.8 GB free
Mistral 7B Instruct v0.3
Mistral AI
7.2B
17 GB
2× · 4.6 GB free
9.6 GB
1× · 1.4 GB free
5.6 GB
1× · 5.4 GB free
Qwen3 4B
Alibaba
4B
9.7 GB
1× · 1.3 GB free
5.3 GB
1× · 5.7 GB free
3.1 GB
1× · 7.9 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

Want more from this page?

See incorrect data?

Frequently asked questions

How much does the RTX 2080 Ti cost per hour?
The RTX 2080 Ti starts at $0.06 per GPU-hour, with a median of $0.08 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 RTX 2080 Ti?
3 providers currently list the RTX 2080 Ti: Omega Gradient, Vast.ai, Theta EdgeCloud. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 2080 Ti have?
The RTX 2080 Ti comes with 11 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 2080 Ti?
With 11 GB of VRAM, a single RTX 2080 Ti can serve models such as Gemma 3 12B, Granite 4.1 8B, Qwen3 8B, Llama 3.1 8B Instruct. 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 2080 Ti GPUs?
The largest models we track that fit across several RTX 2080 Ti cards are Qwen3.6 27B on 2 GPUs at 4-bit, Mistral Small 3.2 24B on 2 GPUs at 4-bit, gpt-oss-20b on 2 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 2080 Ti cheapest?
The lowest on-demand price we currently track for the RTX 2080 Ti is $0.06 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.