Accelerate your Momentum

Cloud GPU

Experience accelerated computing in the cloud with Cloud GPUs for AI model training, rendering, and simulations, all in one powerful platform

Choose Your Cloud GPU

NVIDIA TESLA T4

TX1

GPU

1/16

GPU RAM

1 GB

vCPU

2

RAM

4 GB

Storage

50 GB NVMe

Bandwidth

1 TB

$
20

/month

TX2

GPU

1/8

GPU RAM

2 GB

vCPU

2

RAM

8 GB

Storage

50 GB NVMe

Bandwidth

1 TB

$
40

/month

TX3

GPU

1/4

GPU RAM

4 GB

vCPU

2

RAM

16 GB

Storage

80 GB NVMe

Bandwidth

2 TB

$
80

/month

TX4

GPU

1

GPU RAM

16

vCPU

6

RAM

64 GB

Storage

350 GB NVMe

Bandwidth

6 TB

$
300

/month

TX5

GPU

4

GPU RAM

64 GB

vCPU

24

RAM

256 GB

Storage

1200 GB NVMe

Bandwidth

12 TB

$
1200

/month

TX6

GPU

16

GPU RAM

256

vCPU

96

RAM

960 GB

Storage

1500 GB NVMe

Bandwidth

25 TB

$
1700

/month

The benefits of MomentumX Cloud GPU plans

Choose additional features

CLOUD GPU Additional Features

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Frequently Asked Questions

Do you have any questions? We have your answers!

A Cloud GPU is a virtual graphics processing unit hosted in the cloud. It allows users to access and utilize powerful GPU resources remotely over the internet. These virtual GPUs are typically used for tasks such as machine learning, 3D rendering, scientific simulations, and other GPU-intensive workloads.

Cloud GPUs are useful when your local hardware lacks the necessary GPU capabilities for computationally intensive tasks. They offer scalability and flexibility, allowing you to access high-performance GPUs on-demand without investing in expensive hardware. This is especially valuable for tasks like deep learning, where GPU acceleration significantly speeds up model training.

Understanding the primary applications and industries that benefit from Cloud GPUs can help customers make informed decisions. Highlight common use cases such as AI and machine learning, 3D rendering, scientific simulations, and data analytics.

The pricing structure includes options like pay-as-you-go, reserved instances, and factors like GPU types and usage duration that affect costs.

Customers can seamlessly adjust their GPU resources to accommodate evolving workload demands, ensuring efficient resource management.

More Questions ? More requirements ? Need Guidance?

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