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NVIDIA H100 NVL

94 GB VRAM2 providers3 offerings1 regions

The NVIDIA H100 NVL is an enterprise-class GPU built on the Hopper architecture, featuring 94 GB of memory. Currently available from 2 providers starting at $2.33/GPU/hour, with a market median of $2.60/GPU/hour across 3 configurations.

Cheapest
$2.330/hr
Vast.ai
Median
$2.600/hr
across 3 offerings
Most expensive
$3.190/hr
Runpod
90-day trend
+8.3%
median rate

Hardware specifications

Same across all providers

Memory
94 GB
HBM3
What LLMs fit? ↓
Architecture
Hopper
Brand
NVIDIA
Series
H100
Market price history

Median price across all providers

Prices updated

5 offerings from 2 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
RunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×118206 GB
United States
$3.190$3.19Launch
Vast.aiReferral linkTrendingCheapest
×2128377 GB
United States
From$2.330
-10.4% 30d
From$4.66
Launch
RunpodReferral linkTrending
Up to$500credit
×118206 GB
United States
$3.190
$3.19
Launch
Sesterce CloudReferral link
×240256 GB--
$3.476
From$6.95
OblivusReferral link
×82521.41 TB
United States
$3.640
0.0% 30d
$29.12
×1——--
$4.200
0.0% 30d
$4.20

LLMs that fit on the NVIDIA H100 NVL

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 94 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 2× · 17% spare
Solar Open2 250B
Upstage
250B
15B active
601 GB
Too large
330 GB
Too large
192 GB
Tight on 2× · 17% spare
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
Too large
310 GB
Too large
181 GB
2× · 7.4 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
Too large
155 GB
2× · 33 GB free
90 GB
1× · 3.7 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
—
Not released
—
Not released
78 GB
1× · 16 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 7.7 GB free
47 GB
1× · 47 GB free
28 GB
1× · 66 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 15 GB free
43 GB
1× · 51 GB free
25 GB
1× · 69 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 19 GB free
41 GB
1× · 53 GB free
24 GB
1× · 70 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
1× · 19 GB free
41 GB
1× · 53 GB free
24 GB
1× · 70 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
1× · 27 GB free
37 GB
1× · 57 GB free
21 GB
1× · 73 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
1× · 36 GB free
32 GB
1× · 62 GB free
18 GB
1× · 76 GB free
gpt-oss-20b
OpenAI
21B
3.6B active
—
Not released
—
Not released
17 GB
1× · 77 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 H100 NVL cost per hour?
The H100 NVL starts at $2.33 per GPU-hour, with a median of $2.60 across 3 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the H100 NVL?
5 providers currently list the H100 NVL: Runpod, Sesterce Cloud, Oblivus, Vast.ai, EmpirioLabs AI. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the H100 NVL have?
The H100 NVL comes with 94 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 NVL?
With 94 GB of VRAM, a single H100 NVL can serve models such as Laguna-S 2.1, gpt-oss-120b, Qwen3.6 35B-A3B, Qwen3 32B. 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 NVL GPUs?
The largest models we track that fit across several H100 NVL cards are Qwen3 235B-A22B 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 H100 NVL cheapest?
The lowest on-demand price we currently track for the H100 NVL is $2.33 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.