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NVIDIA L4

24 GB VRAM121 FP16 TFLOPS72 W TDP6 providers21 offerings6 regions

The NVIDIA L4 is an enterprise-class GPU built on the Ada Lovelace architecture, featuring 24 GB of memory with 300 GB/s of memory bandwidth and a 72 W TDP. It delivers 30.3 TFLOPS of FP32 performance and 121 TFLOPS of FP16 tensor performance. Currently available from 6 providers starting at $0.20/GPU/hour, with a market median of $1.00/GPU/hour across 21 configurations.

Cheapest
$0.200/hr
Vast.ai
Median
$1.000/hr
across 21 offerings
Most expensive
$1.050/hr
Runcrate
90-day trend
+92.6%
median rate

Hardware specifications

Same across all providers

FP16 performance
121 TFLOPS
peak
TDP
72 W
Memory bandwidth
300 GB/s
Architecture
Ada Lovelace
FP32 performance
30.3 TFLOPS
Brand
NVIDIA
Series
L4
Market price history

Median price across all providers

Prices updated 32 minutes ago

6 offerings from 6 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Runpod logoRunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×1662 GB
Romania
$0.490$0.49Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×124252 GB
SwitzerlandUnited StatesCzech Republic
From$0.200
+10.0% 30d
From$0.20
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×1662 GB
Romania
$0.490
0.0% 30d
$0.49
Launch
×1848 GB
FrancePoland
$0.917
+1.5% 30d
From$0.92
Launch
×432192 GB--
From$0.998
+0.1% 30d
From$3.99
Launch
Sesterce Cloud logoSesterce CloudReferral link
×1848 GB
PolandFrance
$1.045
0.0% 30d
From$1.05
Launch
×1848 GB
PolandFrance
$1.050
0.0% 30d
From$1.05
Launch

LLMs that fit on the NVIDIA L4

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×
Solar Open2 250B
Upstage
250B
15B active
Not released
330 GB
Too large
192 GB
Tight on 8× · 19% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
Not released
310 GB
Too large
181 GB
8× · 11 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Too large
155 GB
8× · 37 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
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
4× · 9.7 GB free
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
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
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
41 GB
2× · 6.8 GB free
24 GB
Barely fits on 1×
Qwen3.6 27B
Alibaba
27.8B
67 GB
4× · 29 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
4× · 38 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 L4 cost per hour?
The L4 starts at $0.20 per GPU-hour, with a median of $1.00 across 21 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the L4?
7 providers currently list the L4: Sesterce Cloud, AceCloud, Omega Gradient, Scaleway, Runcrate, Vast.ai and 1 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the L4 have?
The L4 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 L4?
With 24 GB of VRAM, a single L4 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 L4 GPUs?
The largest models we track that fit across several L4 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 L4 cheapest?
The lowest on-demand price we currently track for the L4 is $0.20 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.