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NVIDIA H200

141 GB VRAM989 FP16 TFLOPS700 W TDP9 providers32 offerings12 regions

The NVIDIA H200 is an enterprise-class GPU built on the Hopper architecture, featuring 141 GB of memory with 4,800 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 9 providers starting at $3.69/GPU/hour, with a market median of $4.61/GPU/hour across 32 configurations.

Cheapest
$3.690/hr
Theta EdgeCloud
Median
$4.610/hr
across 32 offerings
Most expensive
$11.500/hr
EmpirioLabs AI
90-day trend
+19.1%
median rate

Hardware specifications

Same across all providers

Memory
141 GB
HBM3
What LLMs fit? ↓
FP16 performance
989 TFLOPS
peak
TDP
700 W
Memory bandwidth
4,800 GB/s
Architecture
Hopper
FP32 performance
67 TFLOPS
Brand
NVIDIA
Series
H200
Market price history

Median price across all providers

Prices updated

12 offerings from 9 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
RunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×112188 GB
JapanUnited StatesIceland+2
$5.290$5.29Launch
Sesterce CloudReferral link
×8962 TB--
From$2.475
From$19.80
×81901.76 TB--
$2.720
$21.76
Theta EdgeCloudTrendingCheapest
×18141 GB--
$3.690
From$3.69
Launch
LiumReferral link
Up to$5credit
×1384503 GB
RussiaFinlandUnited States+1
From$3.850
+72.9% 30d
From$3.85
Launch
OblivusReferral link
×1——
United States
$3.990
$3.99
Launch
×81761.76 TB
Canada
$3.990
$31.92
×115267 GB
GermanyUnited Kingdom
$4.240
-3.6% 30d
From$4.24
Launch
Vast.aiReferral linkTrending
×81921,008 GB
RomaniaGermanyQatar
From$4.250
+15.5% 30d
From$34.00
Launch
Up to$200credit
×1Billed separatelyBilled separately--
$4.540
0.0% 30d
From$4.54
Launch
×288340 GB--
From$5.225
+24.4% 30d
From$10.45
Launch
RunpodReferral linkTrending
Up to$500credit
×112188 GB
JapanUnited StatesIceland+2
$5.290
0.0% 30d
$5.29
Launch
×116180 GB
United StatesRussia
From$5.500
+40.9% 30d
From$5.50
Launch

LLMs that fit on the NVIDIA H200

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
8× · 90 GB free
Kimi K2.5
Moonshot AI
1T
32B active
—
Not released
—
Not released
714 GB
8× · 414 GB free
GLM-5.2
Z.ai
753B
1,808 GB
Too large
994 GB
8× · 134 GB free
579 GB
8× · 549 GB free
or 4× · 16% spare
DeepSeek R1
DeepSeek
671B
37B active
—
Not released
826 GB
8× · 302 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
8× · 527 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
8× · 564 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 cost per hour?
The H200 starts at $3.69 per GPU-hour, with a median of $4.61 across 32 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the H200?
15 providers currently list the H200: Runpod, Daytona, Impossible Cloud, Sesterce Cloud, Hyperstack, Theta EdgeCloud and 9 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the H200 have?
The H200 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?
With 141 GB of VRAM, a single H200 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 GPUs?
The largest models we track that fit across several H200 cards are DeepSeek V4 Pro on 8 GPUs at 4-bit, Kimi K2.5 on 8 GPUs at 4-bit, GLM-5.2 on 8 GPUs at 8-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 cheapest?
The lowest on-demand price we currently track for the H200 is $3.69 per GPU-hour at Theta EdgeCloud. Because providers update pricing and availability frequently, check the live table above before you launch.