GPU servers are recommended for most machine learning and deep learning purposes. Training new models will be faster on a GPU server (v100) than a CPU instance. GPUs are mostly used for deep machine learning, architectural visualization, video processing, and scientific computing. GPU nodes are capable of running heavy workloads and make the AI, ML related work smooth and fast.
E2E Cloud offers GPU Cloud Instances based on NVIDIA Tesla v100 (Preferred for Training) and NVIDIA T4 GPU cards(Preferred for Inferencing).
Here are the top advantages and benefits of having a dedicated GPU:
1. Affordable cloud GPUs grounded in the world-class cloud from India.
GPU servers, offered by E2E, not only provide the best performance and speed in terms of graphics-intensive processing power and resources. We provide the best price, which makes it affordable and to run the high-end infra at the same time.
E2E’s GPU cloud makes it smooth, affordable, and reliable for the end-customer to build and deploy the machine learning and deep learning system. E2E offers a bare-metal performance of the server. It can accelerate AI, high-performance computing (HPC), data science, and graphics.
Projects, which require more graphic intensive processing, might not be looking for more than allocated resources. It ultimately sorted the requirement of the end-users as the end-customer can focus on GPU cards without worrying about the additional cost of server resources. As we have clubbed dual cards with similar configuration.
2. Customisable / Private Cloud / Multi GPUs
Customization of GPU is available at E2E as the same can be achieved by taking a Dedicated server with GPU cards, be it V100 or T4.
It has become easier for end customers to utilize the GPU performance with the required configuration as per their current or required project.
Another option is pre-designed GPU servers, available on our public portal, as these are one-click launch nodes that come with Dual V100 & Dual T4 cards.
We provide the one-click launch of GPU applications like TensorFlow, a broad open-source framework for machine learning and comes with multiple tools and libraries to make end-customers to deploy ML-powered applications easily.
Our GPU servers support, the latest version of GPU applications, which makes it quite popular amongst all type of verticals and businesses to use our GPU nodes
Check here to know more about our GPU plans on our cloud