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NVIDIA RTX 4070 Ti Super

16 GB VRAM285 W TDP2 providers5 offerings3 regions

The NVIDIA RTX 4070 Ti Super is a consumer-grade GPU built on the Ada Lovelace architecture, featuring 16 GB of memory with 672 GB/s of memory bandwidth and a 285 W TDP. It delivers 44.1 TFLOPS of FP32 performance. Currently available from 2 providers starting at $0.19/GPU/hour, with a market median of $0.46/GPU/hour across 5 configurations.

Cheapest
$0.190/hr
Vast.ai
Median
$0.460/hr
across 5 offerings
Most expensive
$0.470/hr
Vast.ai
90-day trend
+206.7%
median rate

Hardware specifications

Same across all providers

Memory
16 GB
GDDR6X
What LLMs fit? ↓
TDP
285 W
Memory bandwidth
672 GB/s
Architecture
Ada Lovelace
FP32 performance
44.1 TFLOPS
Brand
NVIDIA
Series
GeForce RTX
Market price history

Median price across all providers

Prices updated

2 offerings from 2 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Vast.aiReferral linkTrendingCheapest
×238101 GB
BulgariaUnited States
From$0.190
+190.0% 30d
From$0.38
Launch
×13231 GB
Canada
$0.460
0.0% 30d
$0.46
Launch

LLMs that fit on the NVIDIA RTX 4070 Ti Super

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

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Flash
DeepSeek
284B
—
Not released
—
Not released
192 GB
Tight on 10× · 0% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
—
Not released
—
Not released
181 GB
Tight on 10× · 6% spare
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Too large
155 GB
10× · 4.8 GB free
90 GB
10× · 70 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
—
Not released
—
Not released
78 GB
10× · 82 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
10× · 74 GB free
47 GB
10× · 113 GB free
28 GB
2× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
10× · 81 GB free
43 GB
10× · 117 GB free
25 GB
2× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
10× · 85 GB free
41 GB
10× · 119 GB free
24 GB
2× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
10× · 85 GB free
41 GB
10× · 119 GB free
24 GB
2× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
10× · 93 GB free
37 GB
10× · 123 GB free
or 2× · 4% spare
21 GB
2× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
10× · 102 GB free
32 GB
Barely fits on 2×
18 GB
2× · 14 GB free
or 1× · 4% spare
gpt-oss-20b
OpenAI
21B
3.6B active
—
Not released
—
Not released
17 GB
2× · 15 GB free
or 1× · 16% spare
Gemma 3 12B
Google
12.2B
29 GB
2× · 2.8 GB free
16 GB
2× · 16 GB free
or 1× · 19% spare
9.4 GB
1× · 6.6 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 4070 Ti Super cost per hour?
The RTX 4070 Ti Super starts at $0.19 per GPU-hour, with a median of $0.46 across 5 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 4070 Ti Super?
2 providers currently list the RTX 4070 Ti Super: Theta EdgeCloud, Vast.ai. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 4070 Ti Super have?
The RTX 4070 Ti Super comes with 16 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 4070 Ti Super?
With 16 GB of VRAM, a single RTX 4070 Ti Super can serve models such as Gemma 3 12B. 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 4070 Ti Super GPUs?
The largest models we track that fit across several RTX 4070 Ti Super cards are Laguna-S 2.1 on 10 GPUs at 8-bit, gpt-oss-120b on 10 GPUs at 4-bit, Qwen3.6 35B-A3B 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 4070 Ti Super cheapest?
The lowest on-demand price we currently track for the RTX 4070 Ti Super is $0.19 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.