-
Machine Learning
-limitless potential!Grab your pre-configured containers or pre-built virtual machines
having AMD, NVidia GPU’s - featuring deep learning software
like TensorFlow, PyTorch, MXNet, TensorRT, and more in your virtualized environment.
GPU on Cloud offer for Machine Learning!!!
-
Our Cloud now offers virtual machines with GPUs capable of teraflops of performance per instance. Deep learning, 3-D modeling, simulation, and molecular modeling take hours instead of days on our platform having AMD and NVidia GPUs. Access your technology stack on cloud and run deep learning algorithms in minutes!
Enhance the speed of complex processing such as machine learning, medical analysis, seismic exploration, video transcoding and scientific simulations. Provision Compute Engine instances with powerful GPUs to handle your most complex compute-intensive workloads.
Grab your pre-configured containers and/or pre-built virtual machines having AMD/NVidia GPU’s, featuring deep learning software like TensorFlow, PyTorch, MXNet, TensorRT, and more in your virtualized environment.
Fill out the form to avail a free trial offer.
Contact Form
Data Driven Decision Making
Principles of ML, DL & AI -
Learn from data
Making use of wide variety of data being available irrespective of its format, size, volume, and source.
Identify Patterns
Develop pattern recognition from supervised learning (labeled training data) and unsupervised learning (discover previously known patterns) to make the data meaningful for business.
Take decisions
Develop decisions making models basis normative, descriptive and prescriptive decision algorithms leveraging Heuristics, alternatives, probability and Ludic fallacy decision theory.
Real world ML & AI examples
Remember when Facebook used to prompt you to tag your friends? Now a days the social network’s algorithms recognize familiar faces from your contact list, using such an impressive technology! And that’s called as DeepFace, Facebook’s machine learning facial recognition software.
Cortana / Siri
These Voice recognition systems use machine learning and deep neural networks to imitate human interaction. As they progress, these apps will learn to ‘understand’ the nuances and semantics of our language.
Google Maps
Machines analyzing the speed of the traffic through anonymous location data from smartphones. With over 80 billion hi-resolution photos collected by Street view cars, analysing these images by hand would have been impossibly time-consuming. Machine learning freed up enormous amount of time for Google engineers.
GET IN TOUCH...
To avail trial offer...