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NVIDIA CMP 170HX

8 GB VRAM250 W TDP1 providers12 offerings3 regions

The NVIDIA CMP 170HX is an enterprise-class GPU built on the Ampere architecture, featuring 8 GB of memory with 1,493 GB/s of memory bandwidth and a 250 W TDP. Currently available from 1 provider starting at $0.20/GPU/hour, with a market median of $0.27/GPU/hour across 12 configurations.

Cheapest
$0.200/hr
Vast.ai
Median
$0.270/hr
across 12 offerings
Most expensive
$0.400/hr
Vast.ai
90-day trend
+170.0%
median rate

Hardware specifications

Same across all providers

TDP
250 W
Memory bandwidth
1,493 GB/s
Architecture
Ampere
Brand
NVIDIA
Series
CMP
Market price history

Median price across all providers

Prices updated 8 minutes ago

1 offering from 1 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Vast.ai logoVast.aiReferral linkTrendingCheapest
×11247 GB
United StatesCanadaBulgaria
From$0.200
-44.3% 30d
From$0.20
Launch

LLMs that fit on the NVIDIA CMP 170HX

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

ModelParameters16-bit8-bit4-bit
Laguna-S 2.1
Poolside
118B
8B active
Not released
Not released
90 GB
Tight on 10× · 6% spare
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
10× · 1.7 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
Tight on 10× · 11% spare
47 GB
Barely fits on 6×
28 GB
4× · 4.4 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
10× · 1.4 GB free
43 GB
6× · 4.8 GB free
25 GB
4× · 6.8 GB free
Gemma 4 31B
Google
31.3B
75 GB
10× · 4.9 GB free
or 8× · 2% spare
41 GB
6× · 6.7 GB free
24 GB
4× · 8 GB free
GLM-4.7 Flash
Z.ai
31.2B
75 GB
10× · 5.1 GB free
or 8× · 2% spare
41 GB
6× · 6.8 GB free
24 GB
4× · 8 GB free
Qwen3.6 27B
Alibaba
27.8B
67 GB
10× · 13 GB free
or 8× · 15% spare
37 GB
6× · 11 GB free
or 4× · 4% spare
21 GB
4× · 11 GB free
Mistral Small 3.2 24B
Mistral AI
24B
58 GB
8× · 6.4 GB free
32 GB
Barely fits on 4×
18 GB
4× · 14 GB free
or 2× · 4% spare
gpt-oss-20b
OpenAI
21B
3.6B active
Not released
Not released
17 GB
4× · 15 GB free
or 2× · 16% spare
Gemma 3 12B
Google
12.2B
29 GB
4× · 2.8 GB free
16 GB
4× · 16 GB free
or 2× · 19% spare
9.4 GB
2× · 6.6 GB free
or 1× · 2% spare
Granite 4.1 8B
IBM
8.8B
21 GB
4× · 11 GB free
12 GB
2× · 4.4 GB free
6.8 GB
1× · 1.2 GB free
Qwen3 8B
Alibaba
8.2B
20 GB
4× · 12 GB free
11 GB
2× · 5.2 GB free
6.3 GB
1× · 1.7 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 CMP 170HX cost per hour?
The CMP 170HX starts at $0.20 per GPU-hour, with a median of $0.27 across 12 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the CMP 170HX?
1 providers currently list the CMP 170HX: Vast.ai. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the CMP 170HX have?
The CMP 170HX comes with 8 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 CMP 170HX?
With 8 GB of VRAM, a single CMP 170HX can serve models such as Granite 4.1 8B, Qwen3 8B. 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 CMP 170HX GPUs?
The largest models we track that fit across several CMP 170HX cards are gpt-oss-120b on 10 GPUs at 4-bit, Qwen3.6 35B-A3B on 4 GPUs at 4-bit, Qwen3 32B 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 CMP 170HX cheapest?
The lowest on-demand price we currently track for the CMP 170HX is $0.20 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.