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NVIDIA RTX 3070

8 GB VRAM220 W TDP3 providers17 offerings5 regions

The NVIDIA RTX 3070 is a consumer-grade GPU built on the Ampere architecture, featuring 8 GB of memory with 448 GB/s of memory bandwidth and a 220 W TDP. It delivers 20.4 TFLOPS of FP32 performance. Currently available from 3 providers starting at $0.05/GPU/hour, with a market median of $0.10/GPU/hour across 17 configurations.

Cheapest
$0.050/hr
Theta EdgeCloud
Median
$0.100/hr
across 17 offerings
Most expensive
$0.140/hr
Vast.ai
90-day trend
-25.9%
median rate

Hardware specifications

Same across all providers

Memory
8 GB
GDDR6X
What LLMs fit? ↓
TDP
220 W
Memory bandwidth
448 GB/s
Architecture
Ampere
FP32 performance
20.4 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.aiPromoted
Affiliate promotion — we may earn a commission.
×1510 GB
France
$0.060$0.06Launch
Theta EdgeCloud logoTheta EdgeCloudTrendingCheapest
×11616 GB
United StatesFinland
From$0.050
0.0% 30d
From$0.05
Launch
Vast.ai logoVast.aiReferral linkTrending
×1510 GB
FranceUnited StatesFinland+2
From$0.060
0.0% 30d
From$0.06
Launch
×472126 GB
United States
$0.085
-19.0% 30d
$0.34
Launch

LLMs that fit on the NVIDIA RTX 3070

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

ModelParameters16-bit8-bit4-bit
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
Too large
47 GB
Barely fits on 6×
28 GB
4× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
Too large
43 GB
6× · 4.8 GB free
25 GB
4× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
Too large
41 GB
6× · 6.7 GB free
24 GB
4× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
Too large
41 GB
6× · 6.8 GB free
24 GB
4× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
Too large
37 GB
6× · 11 GB free
or 4× · 4% spare
21 GB
4× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
Too large
32 GB
Barely fits on 4×
18 GB
4× · 14 GB free
or 2× · 4% spare
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
4× · 15 GB free
or 2× · 16% spare
Gemma 3 12B
Google
12.2B
29 GB
4× · 2.8 GB free
16 GB
4× · 16 GB free
or 2× · 19% spare
9.4 GB
2× · 6.6 GB free
or 1× · 2% spare
Granite 4.1 8B
IBM
8.8B
21 GB
4× · 11 GB free
12 GB
2× · 4.4 GB free
6.8 GB
1× · 1.2 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
4× · 12 GB free
11 GB
2× · 5.2 GB free
6.3 GB
1× · 1.7 GB free
Llama 3.1 8B Instruct
Meta
8B
19 GB
4× · 13 GB free
11 GB
2× · 5.4 GB free
6.2 GB
1× · 1.8 GB free
Mistral 7B Instruct v0.3
Mistral AI
7.2B
17 GB
4× · 15 GB free
or 2× · 10% spare
9.6 GB
2× · 6.4 GB free
or 1× · 0% spare
5.6 GB
1× · 2.4 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 3070 cost per hour?
The RTX 3070 starts at $0.05 per GPU-hour, with a median of $0.10 across 17 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 3070?
3 providers currently list the RTX 3070: Omega Gradient, Vast.ai, Theta EdgeCloud. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 3070 have?
The RTX 3070 comes with 8 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 3070?
With 8 GB of VRAM, a single RTX 3070 can serve models such as Granite 4.1 8B, Qwen3 8B, Llama 3.1 8B Instruct, Mistral 7B Instruct v0.3. 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 3070 GPUs?
The largest models we track that fit across several RTX 3070 cards are Qwen3.6 35B-A3B on 4 GPUs at 4-bit, Qwen3 32B on 4 GPUs at 4-bit, Gemma 4 31B 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 3070 cheapest?
The lowest on-demand price we currently track for the RTX 3070 is $0.05 per GPU-hour at Theta EdgeCloud. Because providers update pricing and availability frequently, check the live table above before you launch.