Equipped with dedicated GPU cards via Passthrough mode.
GPUs run in tandem with industry-renowned Xeon processors.
Train your models with Tesla V100 and deploy them for inferencing using Nvidia T4.
Run various machine learning & deep learning frameworks & libraries seamlessly and deliver fast.
Pay per hour, no long-term contracts. Predictable billing based on INR. No last-minute surprises.
Designed to train complex models at high speed to improve the predictions and decisions of your algorithms.Use any framework or library: TensorFlow, PyTorch, Caffe, MXNet, Auto-Keras, and many more.
Extracting data from images to classify them, identify elements, or build fine-grained documents for industries like mobile software AI face lock, medical imaging, social networks
Analyzes and Calculates large and complex data and perform tons of transactions in real-time.
Design and implementation of data-parallel algorithms that scale to hundreds of tightly coupled processing units. Many molecular modelling applications are well suited to GPUs, due to their extensive computational requirements, and because they lend themselves to data-parallel implementations.
Dealing with large-size data sets and extreme amounts of continuously growing data, splitting it up between processors to crunch through voluminous data sets at a quicker rate.
E2E GPU Cloud makes it easy & affordable for you to build, train, and deploy machine learning and deep learning systems. Powered by Tesla V100 and Nvidia T4, E2E GPU instances offer bare-metal GPU performance.
The GPU cards are dedicatedly available to the virtual machines. No GPU is shared with more than one machine, ensuring that your AI workloads run smooth & fast. Also, you‘re free to use any framework and library to build and train your models.
Nvidia Tesla V100 instances can bring down your model training from months & weeks to days & hours, helping you to deliver fast without being expensive.
Nvidia T4 instances are recommended for inferencing workloads for smooth real-time processing while keeping the costs low.
Traditional AI models built using Rule-based systems depend on explicitly defined rules. Such AI systems deliver limited business value based on how well these rules are defined.
The advent of AI and ML have shaken up the whole technological space by virtue of the potential they hold for each and every industry.
Power your High performance applications to run your research & development workloads.
"E2E GPU machines are superior in terms of performance and at the same time you end up saving more money compared to AWS and Azure. Not to mention the agility and skilled customer support that comes along."
Arvind SainiVP of Engineering at Crownit (GoldVIP)