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NVIDIA RTX 2000 Ada Generation

16 GB VRAM70 W TDP2 providers2 offerings3 regions

The NVIDIA RTX 2000 Ada Generation is an enterprise-class GPU built on the Ada Lovelace architecture, featuring 16 GB of memory with 224 GB/s of memory bandwidth and a 70 W TDP. It delivers 12 TFLOPS of FP32 performance. Currently available from 2 providers starting at $0.24/GPU/hour, with a market median of $0.25/GPU/hour across 2 configurations.

Cheapest
$0.240/hr
Runpod
Median
$0.250/hr
across 2 offerings
Most expensive
$0.260/hr
Theta EdgeCloud
90-day trend
-43.2%
median rate

Hardware specifications

Same across all providers

Memory
16 GB
TDP
70 W
Memory bandwidth
224 GB/s
Architecture
Ada Lovelace
FP32 performance
12 TFLOPS
Brand
NVIDIA
Series
RTX Ada Generation
Market price history

Median price across all providers

2 offerings from 2 providers

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

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Runpod logoRunpodReferral linkCheapest
×1631 GB
$0.240
0.0% 30d
$0.24
Launch
×12031 GB
$0.260
-11.9% 30d
$0.26
Launch

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Frequently asked questions

How much does the RTX 2000 Ada Generation cost per hour?
The RTX 2000 Ada Generation starts at $0.24 per GPU-hour, with a median of $0.25 across 2 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 2000 Ada Generation?
2 providers currently list the RTX 2000 Ada Generation: Runpod, Theta EdgeCloud. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 2000 Ada Generation have?
The RTX 2000 Ada Generation comes with 16 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Where is the RTX 2000 Ada Generation cheapest?
The lowest on-demand price we currently track for the RTX 2000 Ada Generation is $0.24 per GPU-hour at Runpod. Because providers update pricing and availability frequently, check the live table above before you launch.