Cost-effective

Renting GPU servers may be a more cost-effective solution than purchasing your own hardware, especially if you only need to use computing resources in a limited time.

Dedicated GPU Cards

When you purchase a GPU server from GPU Mart, you benefit from dedicated GPU resources. This means you have exclusive access to the entire GPU card's computing power, including all GPU memory, cores, and other resources.

With full root/admin access, you will be able to take full control of your dedicated GPU servers for Keras very easily and quickly.

With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for Keras and networks.

NVIDIA CUDA is a parallel computing platform and API model created by NVIDIA. It provides a range of advantages that significantly enhance the performance and capabilities of various computational tasks.

The GPU Mart provides a series of hardware configurations, enabling you to select the specific GPU, memory, storage and other components that best suit your needs.

User-Friendly and Fast Deployment

Keras is a user-friendly API, and it is very easy to create neural network models.

Quality Documentation and Large Community Support

Keras has one of the best documentations ever. It also has great community support.

Your Keras models can be easily deployed across a greater range of platforms than any other deep learning API.

Keras allows you to train your model on a single GPU or multiple GPUs. It provides built-in support for data parallelism. It can process a very large amount of data.

Keras provides multiple backend support, where Tensorflow, Theano, and CNTK being the most common backends.

Keras provides some deep learning models with their pre-trained weights. We can use these models directly for making predictions or feature extraction.