E2E Networks, a leading Indian Cloud Provider, announced the launch of its data-centre grade cloude GPU instances based on Nvidia‘s Tesla V100 via its Publix Cloud

Company : Euro India Fresh Foods Limited

Datacentre Grade Cloud GPU instances help companies and start-ups where data scientists and engineers work on AI/ ML workloads. Nvidia's Tesla v100 GPUs with 32 GB onboard graphics memory based compute instances are ideal for machine learning, deep learning for natural language processing and structured data analytics, convolution neural networks for image recognition/ generation, deep analytics, computer vision etc, amongst other uses like conversational speech recognition.

E2E Networks GPU instances offer bare metal performance via pass through mode by being directly attached to the virtual compute nodes; whether the workloads require CUDA, Tensorflow, MXNet, Caffe2, OpenFoam, Theano, PyTorcha and many more AI/ ML/ DL/ CNN frameworks.

As per the press release provided by the company, E2E Networks GPU instances can help in optimizing operational costs by as much as 7u0% compared to the other leading public cloud providers. The GPU instances are available as hourly billed instances or pre-committed instances at deeply discounted pricing. E2E Networks GPU instances are available from Indian data centres, ensuring data locality for critical India centred data.

Tarun Dua, CMD, E2E Networks, said "Multi-cloud is a reality today and there is a clearly established trend in moving significantly large AI/ ML workloads away from the primary public cloud operators to derive better value from their deep learning training models leveraging the power of data".

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