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NVIDIA H100

80 GB VRAM989 FP16 TFLOPS700 W TDP15 providers89 offerings13 regions

The NVIDIA H100 is an enterprise-class GPU built on the Hopper architecture, featuring 80 GB of memory with 3,350 GB/s of memory bandwidth and a 700 W TDP. It delivers 67 TFLOPS of FP32 performance and 989 TFLOPS of FP16 tensor performance. Currently available from 15 providers starting at $1.49/GPU/hour, with a market median of $3.20/GPU/hour across 89 configurations.

Cheapest
$1.490/hr
Vast.ai
Median
$3.200/hr
across 89 offerings
Most expensive
$6.589/hr
Sesterce Cloud
90-day trend
+39.7%
median rate

Hardware specifications

Same across all providers

Memory
80 GB
HBM3
What LLMs fit? ↓
FP16 performance
989 TFLOPS
peak
TDP
700 W
Memory bandwidth
3,350 GB/s
Architecture
Hopper
FP32 performance
67 TFLOPS
Brand
NVIDIA
Series
H100
Market price history

Median price across all providers

Prices updated 2 hours ago

16 offerings from 15 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.
×18125 GB
FranceNetherlandsIceland+4
$3.290$3.29Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×126221 GB
United StatesJapanMexico+5
From$1.490
-4.3% 30d
From$1.49
Launch
×11080 GB--
$2.290
From$2.29
Launch
×128180 GB
CanadaUnited States
From$2.500
+14.0% 30d
From$2.50
Launch
×128180 GB
CanadaUnited States
From$2.630
0.0% 30d
From$2.63
Launch
×128180 GB
United StatesFranceCanada
$2.750
0.0% 30d
From$2.75
Launch
×120128 GB--
From$3.000
From$3.00
Thunder Compute logoThunder ComputeReferral link
Up to$20student credit
×11890 GB--
$3.190
From$3.19
Launch
×130120 GB--
$3.250
From$3.25
Launch
×126200 GB
United States
From$3.290
-1.2% 30d
From$3.29
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×18125 GB
FranceNetherlandsIceland+4
From$3.290
-6.1% 30d
From$3.29
Launch
Up to$1credit
×81281.5 TB
India
From$3.334
+0.9% 30d
From$26.67
Launch
×124240 GB
FrancePoland
From$3.354
+2.8% 30d
From$3.35
Launch
Novita AI logoNovita AIReferral link
×116128 GB
IcelandUnited States
$3.390
0.0% 30d
From$3.39
Launch
Oblivus logoOblivusReferral link
×128180 GB
United States
From$3.500
0.0% 30d
From$3.50
Launch
Sesterce Cloud logoSesterce CloudReferral link
×248480 GB
FranceUnited StatesCanada+1
From$3.630
+25.5% 30d
From$7.26
Launch
×120240 GB
United StatesCanadaNetherlands
$4.410
+30.1% 30d
From$4.41
Launch

LLMs that fit on the NVIDIA H100

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 80 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
Kimi K2.5
Moonshot AI
1T
32B active
Not released
Not released
714 GB
Tight on 8× · 7% spare
GLM-5.2
Z.ai
753B
Not released
994 GB
Too large
579 GB
8× · 61 GB free
DeepSeek R1
DeepSeek
671B
37B active
Not released
826 GB
Too large
481 GB
8× · 159 GB free
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
4× · 128 GB free
or 2× · 0% spare
Solar Open2 250B
Upstage
250B
15B active
601 GB
8× · 39 GB free
330 GB
8× · 310 GB free
or 4× · 16% spare
192 GB
4× · 128 GB free
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
8× · 76 GB free
310 GB
4× · 9.7 GB free
181 GB
4× · 139 GB free
or 2× · 6% spare
Laguna-S 2.1
Poolside
118B
8B active
282 GB
4× · 38 GB free
155 GB
2× · 4.8 GB free
90 GB
2× · 70 GB free
or 1× · 6% spare
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
1× · 1.7 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
2× · 74 GB free
or 1× · 11% spare
47 GB
1× · 33 GB free
28 GB
1× · 52 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 1.4 GB free
43 GB
1× · 37 GB free
25 GB
1× · 55 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 4.9 GB free
41 GB
1× · 39 GB free
24 GB
1× · 56 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
1× · 5.1 GB free
41 GB
1× · 39 GB free
24 GB
1× · 56 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

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Frequently asked questions

How much does the H100 cost per hour?
The H100 starts at $1.49 per GPU-hour, with a median of $3.20 across 89 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the H100?
17 providers currently list the H100: Omega Gradient, Runcrate, Lambda, Vast.ai, Verda, Novita AI and 11 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the H100 have?
The H100 comes with 80 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 H100?
With 80 GB of VRAM, a single H100 can serve models such as gpt-oss-120b, Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B. 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 H100 GPUs?
The largest models we track that fit across several H100 cards are GLM-5.2 on 8 GPUs at 4-bit, DeepSeek R1 on 8 GPUs at 4-bit, DeepSeek V4 Flash 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 H100 cheapest?
The lowest on-demand price we currently track for the H100 is $1.49 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.