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NVIDIA L40

48 GB VRAM181 FP16 TFLOPS300 W TDP7 providers31 offerings3 regions

The NVIDIA L40 is an enterprise-class GPU built on the Ada Lovelace architecture, featuring 48 GB of memory with 864 GB/s of memory bandwidth and a 300 W TDP. It delivers 90.5 TFLOPS of FP32 performance and 181 TFLOPS of FP16 tensor performance. Currently available from 7 providers starting at $0.34/GPU/hour, with a market median of $1.00/GPU/hour across 31 configurations.

Cheapest
$0.340/hr
Vast.ai
Median
$1.000/hr
across 31 offerings
Most expensive
$1.639/hr
Sesterce Cloud
90-day trend
-8.3%
median rate

Hardware specifications

Same across all providers

FP16 performance
181 TFLOPS
peak
TDP
300 W
Memory bandwidth
864 GB/s
Architecture
Ada Lovelace
FP32 performance
90.5 TFLOPS
Brand
NVIDIA
Series
L40
Market price history

Median price across all providers

Prices updated 7 hours ago

7 offerings from 7 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.
×1--$0.820$0.82Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×148188 GB
Vietnam
$0.340
-34.6% 30d
$0.34
Launch
Thunder Compute logoThunder ComputeReferral link
Up to$20student credit
×1432 GB--
From$0.790
From$0.79
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×1--
$0.820
$0.82
Launch
×126192 GB
United StatesCanada
From$0.930
0.0% 30d
From$0.93
Launch
×126192 GB
CanadaUnited States
$0.970
0.0% 30d
From$0.97
Launch
×12858 GB
Canada
$1.000
0.0% 30d
From$1.00
Launch
Sesterce Cloud logoSesterce CloudReferral link
×12858 GB
CanadaUnited States
From$1.100
0.0% 30d
From$1.10
Launch

LLMs that fit on the NVIDIA L40

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 48 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 4×
Solar Open2 250B
Upstage
250B
15B active
601 GB
Too large
330 GB
8× · 54 GB free
192 GB
8× · 192 GB free
or 4× · 19% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
Too large
310 GB
8× · 74 GB free
181 GB
4× · 11 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
8× · 102 GB free
155 GB
4× · 37 GB free
90 GB
2× · 5.7 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
2× · 18 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
2× · 9.7 GB free
47 GB
Barely fits on 1×
28 GB
1× · 20 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
2× · 17 GB free
43 GB
1× · 4.8 GB free
25 GB
1× · 23 GB free
Gemma 4 31B
Google
31.3B
75 GB
2× · 21 GB free
41 GB
1× · 6.7 GB free
24 GB
1× · 24 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
2× · 21 GB free
41 GB
1× · 6.8 GB free
24 GB
1× · 24 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
2× · 29 GB free
37 GB
1× · 11 GB free
21 GB
1× · 27 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
2× · 38 GB free
32 GB
1× · 16 GB free
18 GB
1× · 30 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
1× · 31 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 L40 cost per hour?
The L40 starts at $0.34 per GPU-hour, with a median of $1.00 across 31 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the L40?
7 providers currently list the L40: Sesterce Cloud, Runcrate, Hyperstack, Omega Gradient, Thunder Compute, Vast.ai and 1 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the L40 have?
The L40 comes with 48 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 L40?
With 48 GB of VRAM, a single L40 can serve models such as Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B, GLM-4.7 Flash. 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 L40 GPUs?
The largest models we track that fit across several L40 cards are DeepSeek V4 Flash on 4 GPUs at 4-bit, Solar Open2 250B on 8 GPUs at 8-bit, Qwen3 235B-A22B 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 L40 cheapest?
The lowest on-demand price we currently track for the L40 is $0.34 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.