We have data on 21 companies that use cuda-convnet2. The companies using cuda-convnet2 are most often found in United States and in the Computer Software industry. cuda-convnet2 is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for cuda-convnet2 usage goes back as far as 4 years and 3 months.
|Company||The Charles Stark Draper Laboratory, Inc.|
|Jumio Corporation||jumio.com||United States||100M-200M||500-1000|
|NetraDyne Inc.||netradyne.com||United States||1M-10M||10-50|
|NVIDIA Corporation||nvidia.com||United States||>1000M||>10000|
|The Charles Stark Draper Laboratory, Inc.||draper.com||United States||200M-1000M||1000-5000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Machine Learning. 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 Machine Learning category, cuda-convnet2 has a market share of about 0.1%. Other major and competing products in this category include:
cuda-convnet2 is a fast C++/CUDA implementation of convolutional (or more generally, feed-forward) neural networks that can model arbitrary layer connectivity and network depth, any directed acyclic graph of layers will do it required fermi-generation GPU (GTX 4xx, GTX 5xx, or Tesla equivalent).
Looking at cuda-convnet2 customers by industry, we find that Computer Software (34%), Higher Education (15%) and Manufacturing (5%) are the largest segments.
58% of cuda-convnet2 customers are in United States and 10% are in Korea, Republic of.
Of all the customers that are using cuda-convnet2, 10% are small (<50 employees), 16% are medium-sized and 44% are large (>1000 employees).
Of all the customers that are using cuda-convnet2, 30% are small (<$50M), 10% are medium-sized and 29% are large (>$1000M).