Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
850
aziende
Abbiamo dati su 850 aziende che usano MXNet. La nostra lista di clienti MXNet è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Amazon.com | Stati Uniti | Retail | 10K | $50M |
Amazon.com Services LLC | Stati Uniti | Retail | 10K | $50M |
TikTok | Stati Uniti | Entertainment Providers | 67K | $4.6B |
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Fidelity Investments | Stati Uniti | Financial Services | 77K | $25B |
ByteDance | Cina | Software Development | 42K | $62B |
EY | Regno Unito | Professional Services | 357K | $45B |
![]() Amazon | Stati Uniti | Software Development | 770K | |
Lucid Motors | Stati Uniti | Motor Vehicle Manufacturing | 6.1K | $757M |
myGwork - LGBTQ+ Business Community | Regno Unito | Technology, Information And Internet | 153 | |
NVIDIA | Stati Uniti | Computer Hardware Manufacturing | 32K | $27B |
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
Vuoi scaricare l'intera lista?
Iscriviti e scarica l'elenco completo delle 850 aziende
Loading countries...
Loading other techonlogies...
Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
MXNet è utilizzata in 36 paesi
Ci sono 76 alternative a MXNet
21,6k
19,5k
6k
3,6k
3,3k
2,4k
2,3k
2k
1,8k
1,6k
1,3k
1,2k
1,1k
900
781
761
680
579
555
538
516
486
459
307
253
248
218
205
145
144
143
131
125
109
106
91
73
68
67
50
49
44
37
30
22
19
18
17
15
13
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
MXNet is an open-source deep learning framework that is widely used in the field of machine learning. It provides a flexible and efficient programming interface for a variety of tasks including image and language processing, among others. MXNet is known for its scalability, which allows users to easily train and deploy deep learning models across multiple GPUs and CPUs, making it a popular choice for both research and production-level projects.
MXNet falls under the category of Machine Learning Tools, specifically deep learning frameworks. It enables developers and data scientists to build and deploy advanced machine learning models with ease. MXNet's comprehensive set of tools, libraries, and community support make it a powerful platform for those working in the field of artificial intelligence and deep learning.
MXNet was founded in 2014 by a team of researchers from the Apache Software Foundation, with the goal of creating a scalable and flexible deep learning framework that could keep pace with the rapid advancements in the field. Since its inception, MXNet has gained a strong following in the machine learning community, with major tech companies like Amazon Web Services adopting it for their deep learning initiatives. The team behind MXNet continues to actively develop and improve the framework, ensuring it remains competitive in the rapidly evolving landscape of deep learning technologies.
In the current market, MXNet holds a significant share within the machine learning tools category, especially in applications requiring scalability and performance. As the demand for deep learning solutions continues to grow, MXNet is poised to expand its market share further. With ongoing enhancements and integrations with cutting-edge technologies, MXNet is forecasted to maintain and potentially increase its market position in the foreseeable future.
MXNet is a powerful and versatile deep learning framework that companies utilize to drive innovation and enhance their machine learning capabilities. With its flexibility, scalability, and efficiency, MXNet has become a top choice for organizations looking to harness the potential of artificial intelligence in their operations.
MXNet provides seamless scalability across multiple GPUs and even across different machines, allowing companies to efficiently distribute workloads and handle large datasets with ease. This scalability sets MXNet apart from other similar technologies by enabling organizations to train complex models faster and more cost-effectively.
MXNet is known for its high performance and efficiency in executing deep learning algorithms, making it ideal for handling complex tasks with speed and accuracy. Compared to other frameworks, MXNet's optimization techniques ensure that companies can achieve superior results in less time, enhancing productivity and output quality.
One key advantage of MXNet is its support for dynamic computation graphs, which enable companies to build and modify neural network architectures on the fly. This dynamic approach offers more flexibility and adaptability compared to static graph frameworks, allowing businesses to iterate and innovate more swiftly in response to evolving requirements.
MXNet offers seamless integration with popular programming languages such as Python, making it easy for developers and data scientists to work with familiar tools and libraries. This ease of integration simplifies the deployment and maintenance of machine learning models, streamlining workflows and increasing overall efficiency.
MXNet, an open-source deep learning framework, is widely adopted by various companies across different industries for building and deploying machine learning models. Below are some compelling case studies showcasing how companies leverage MXNet to enhance their business operations and drive growth:
1. Amazon Amazon, one of the tech giants, is known for utilizing cutting-edge technologies to improve customer experience and optimize processes. The company uses MXNet for various machine learning tasks, such as recommendation systems, natural language processing, and computer vision. Amazon started incorporating MXNet into its infrastructure in 2016, leveraging its scalability and flexibility to handle large-scale data processing efficiently.
2. Adobe Adobe, a leading software company, has integrated MXNet into its suite of creative and marketing solutions to empower users with advanced AI capabilities. By utilizing MXNet, Adobe enables users to leverage machine learning algorithms for image and video analysis, content personalization, and predictive analytics. The collaboration between Adobe and MXNet started in 2018, with a focus on enhancing the functionality of Adobe's products through deep learning techniques.
3. Autodesk Autodesk, a prominent player in the design and engineering software industry, relies on MXNet to drive innovation and efficiency in its products and services. The company uses MXNet for developing intelligent design tools, simulating real-world scenarios, and optimizing workflow processes. Autodesk integrated MXNet into its operations back in 2017, recognizing the potential of deep learning frameworks in revolutionizing the future of design and engineering software.
These case studies highlight the diverse applications of MXNet in real-world business settings, emphasizing its role in enabling companies to harness the power of machine learning for improved decision-making, automation, and product innovation. By leveraging MXNet's advanced capabilities, companies like Amazon, Adobe, and Autodesk have demonstrated the transformative impact of deep learning technologies on driving business success and staying competitive in today's dynamic market landscape.
Puoi accedere a un elenco aggiornato di aziende che utilizzano MXNet visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 850 aziende che utilizzano MXNet.
MXNet è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Retail", "Retail", "Entertainment Providers", "It Services And It Consulting", "Financial Services", "Software Development", "Professional Services", "Software Development", "Motor Vehicle Manufacturing", "Technology, Information And Internet". Per un elenco completo di tutti i settori che utilizzano MXNet, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano MXNet includono Amazon.com, Amazon.com Services LLC, TikTok, Amazon Web Services, Inc., Fidelity Investments, ByteDance, EY, Amazon, Lucid Motors, myGwork - LGBTQ+ Business Community e molte altre. Puoi trovare un elenco completo di 850 aziende che utilizzano MXNet su TheirStack.com.
Secondo i nostri dati, MXNet è più popolare in Stati Uniti (386 companies), Regno Unito (47 companies), India (30 companies), Canada (22 companies), Francia (20 companies), Germania (16 companies), Singapore (11 companies), Cina (8 companies), Spagna (8 companies), Giappone (7 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano MXNet cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.