Companies using cuda-convnet2
We have data on 11 companies that use cuda-convnet2. The companies using cuda-convnet2 are most often found in United States and in the Higher Education 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 6 years and 7 months.
Who uses cuda-convnet2?
| Company | Samsung Electronics |
| Website | samsung.com |
| Country | United States |
| Revenue | >1000M |
| Company Size | >10000 |
| Company | Microsoft |
| Website | microsoft.com |
| Country | United States |
| Revenue | >1000M |
| Company Size | >10000 |
| Company | Qualcomm Incorporated |
| Website | qualcomm.com |
| Country | United States |
| Revenue | >1000M |
| Company Size | >10000 |
| Company | Universidade da Beira Interior |
| Website | ubi.pt |
| Country | Portugal |
| Revenue | 100M-200M |
| Company Size | 1000-5000 |
| Company | Baidu Inc |
| Website | baidu.com |
| Country | China |
| Revenue | >1000M |
| Company Size | >10000 |
| Company | Website | Country | Revenue | Company Size |
|---|---|---|---|---|
| Samsung Electronics | samsung.com | United States | >1000M | >10000 |
| Microsoft | microsoft.com | United States | >1000M | >10000 |
| Qualcomm Incorporated | qualcomm.com | United States | >1000M | >10000 |
| Universidade da Beira Interior | ubi.pt | Portugal | 100M-200M | 1000-5000 |
| Baidu Inc | baidu.com | China | >1000M | >10000 |
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cuda-convnet2 Market Share and Competitors in Deep Learning
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Deep 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 Deep Learning category, cuda-convnet2 has a market share of about 0.1%. Other major and competing products in this category include:
Deep Learning
What is cuda-convnet2?
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).
Top Industries that use cuda-convnet2
Looking at cuda-convnet2 customers by industry, we find that Higher Education (19%) and Computer Software (10%) are the largest segments.
Top Countries that use cuda-convnet2
66% of cuda-convnet2 customers are in United States.
Distribution of companies that use cuda-convnet2 based on company size (Employees)
Of all the customers that are using cuda-convnet2, a majority (60%) are large (>1000 employees), 2% are small (<50 employees) and 2% are medium-sized.
Distribution of companies that use cuda-convnet2 based on company size (Revenue)
Of all the customers that are using cuda-convnet2, a majority (66%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.
