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NVIDIA H200 NVL

141 GB VRAM2 providers10 offerings3 regions

The NVIDIA H200 NVL is an enterprise-class GPU built on the Hopper architecture, featuring 141 GB of memory. Currently available from 2 providers starting at $3.40/GPU/hour, with a market median of $3.67/GPU/hour across 10 configurations.

Cheapest
$3.400/hr
Vast.ai
Median
$3.665/hr
across 10 offerings
Most expensive
$4.670/hr
Vast.ai
90-day trend
-12.1%
median rate

Hardware specifications

Same across all providers

Memory
141 GB
HBM3
What LLMs fit? ↓
Architecture
Hopper
Brand
NVIDIA
Series
H200
Market price history

Median price across all providers

Prices updated 3 hours ago

2 offerings from 2 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--$3.790$3.79Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×15549 GB
United StatesBulgariaCzech Republic
From$3.400
+15.4% 30d
From$3.40
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×1--
$3.790
$3.79
Launch

LLMs that fit on the NVIDIA H200 NVL

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 141 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
DeepSeek V4 Pro
DeepSeek
1.6T
49B active
Not released
Not released
1,038 GB
Tight on 7× · 14% spare
Kimi K2.5
Moonshot AI
1T
32B active
Not released
Not released
714 GB
7× · 273 GB free
GLM-5.2
Z.ai
753B
1,808 GB
Too large
994 GB
Tight on 7× · 19% spare
579 GB
7× · 408 GB free
or 4× · 16% spare
DeepSeek R1
DeepSeek
671B
37B active
Not released
826 GB
7× · 161 GB free
481 GB
4× · 83 GB free
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
2× · 90 GB free
Solar Open2 250B
Upstage
250B
15B active
601 GB
7× · 386 GB free
or 4× · 12% spare
330 GB
4× · 234 GB free
or 2× · 2% spare
192 GB
2× · 90 GB free
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
7× · 423 GB free
or 4× · 19% spare
310 GB
4× · 254 GB free
or 2× · 9% spare
181 GB
2× · 101 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
4× · 282 GB free
or 2× · 19% spare
155 GB
2× · 127 GB free
or 1× · 9% spare
90 GB
1× · 51 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
1× · 63 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 55 GB free
47 GB
1× · 94 GB free
28 GB
1× · 113 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 62 GB free
43 GB
1× · 98 GB free
25 GB
1× · 116 GB free
Gemma 4 31B
Google
31.3B
75 GB
1× · 66 GB free
41 GB
1× · 100 GB free
24 GB
1× · 117 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 H200 NVL cost per hour?
The H200 NVL starts at $3.40 per GPU-hour, with a median of $3.67 across 10 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the H200 NVL?
2 providers currently list the H200 NVL: Vast.ai, Runpod. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the H200 NVL have?
The H200 NVL comes with 141 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 H200 NVL?
With 141 GB of VRAM, a single H200 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 H200 NVL GPUs?
The largest models we track that fit across several H200 NVL cards are Kimi K2.5 on 7 GPUs at 4-bit, GLM-5.2 on 7 GPUs at 4-bit, DeepSeek R1 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 H200 NVL cheapest?
The lowest on-demand price we currently track for the H200 NVL is $3.40 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.