We have data on 857 companies that use MXNet. The companies using MXNet are most often found in United States and in the Computer Software industry. MXNet is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for MXNet usage goes back as far as 4 years and 1 months.
|Stanford University||stanford.edu||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Natural Language Processing (NLP). By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Natural Language Processing (NLP) category, MXNet has a market share of about 30.8%. Other major and competing products in this category include:
MXNet is a Flexible and Efficient Library for Deep Learning that supports both imperative and symbolic programming, calculates the gradient automatically for training a model, runs on CPUs or GPUs, on clusters, servers, desktops, or mobile phones and supports distributed training on multiple CPU/GPU machines, including AWS, GCE, Azure, and Yarn clusters.
Looking at MXNet customers by industry, we find that Computer Software (30%) and Information Technology and Services (10%) are the largest segments.
69% of MXNet customers are in United States.
Of all the customers that are using MXNet, 20% are small (<50 employees), 34% are medium-sized and 45% are large (>1000 employees).
Of all the customers that are using MXNet, 43% are small (<$50M), 7% are medium-sized and 43% are large (>$1000M).