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Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.
144
Unternehmen
Wir haben Daten zu 144 Unternehmen, die Caffe2 verwenden. Unsere Caffe2 Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
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![]() SambaNova Systems | Vereinigte Staaten | Computer Hardware Manufacturing | 453 | $125M |
Meta | Vereinigte Staaten | Software Development | 120K | |
Snap Inc. | Vereinigte Staaten | Software Development | 7.4K | $4.5B |
Snapchat | Vereinigte Staaten | Computer Hardware Manufacturing | 7K | $4.6B |
Qualcomm | Vereinigte Staaten | Telecommunications | 45K | $44B |
Digital Diagnostics, Inc. | Vereinigte Staaten | Medical Equipment Manufacturing | 120 | $13M |
Amazon Web Services, Inc. | Vereinigte Staaten | It Services And It Consulting | 1.5M | $3M |
![]() RELX | Vereinigtes Königreich | Technology, Information And Media | 2.5K | $10B |
Expression Networks | Vereinigte Staaten | It Services And It Consulting | 64 | $9.3M |
Graphcore | Vereinigtes Königreich | Semiconductor Manufacturing | 600 | $4.5M |
LexisNexis | Vereinigte Staaten | It Services And It Consulting | 11K | $3.2B |
![]() Snap | Vereinigte Staaten | Photography | 7.7K | $3.7B |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Caffe2 wird in 15 Ländern verwendet
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Caffe2 is an open-source deep learning framework developed by Facebook to support machine learning models and enable efficient large-scale experimentation. It provides a flexible architecture that allows seamless deployment across different platforms and devices, making it a preferred choice for researchers and developers working on complex neural network projects.
In the realm of Machine Learning Tools, Caffe2 falls under the category of deep learning frameworks. It specifically focuses on providing a framework that is scalable, efficient, and highly customizable for deep learning applications. With its emphasis on speed and modularity, Caffe2 empowers users to quickly prototype and deploy advanced machine learning models in various domains, including computer vision, natural language processing, and more.
Founded in 2017 by Facebook, Caffe2 was created as an evolution of the original Caffe framework to address the need for a more scalable and efficient deep learning platform. The motivation behind Caffe2 was to build a system that could handle production-level workloads while maintaining the flexibility and ease of use that made Caffe popular among researchers and developers.
In terms of current market share, Caffe2 has established itself as a prominent player in the deep learning framework landscape, with a solid user base and active community support. While facing competition from other popular frameworks like TensorFlow and PyTorch, Caffe2 continues to attract users due to its performance optimization capabilities and robust feature set. With the growing demand for deep learning solutions in various industries, the forecast indicates a positive trajectory for Caffe2's market share, suggesting potential growth in the future.
Caffe2 is a powerful machine learning tool that has gained popularity among companies seeking efficient solutions for their data needs. With its robust features and capabilities, Caffe2 offers a wide range of benefits that set it apart from other similar technologies in the market.
Caffe2 is known for its exceptional speed and scalability, allowing companies to process large datasets quickly and efficiently. Unlike some other machine learning tools that may struggle with processing massive amounts of data, Caffe2 excels in handling complex computations at scale, making it ideal for companies dealing with extensive datasets.
One of the key advantages of Caffe2 is its versatility and flexibility in supporting various machine learning models and algorithms. Companies can leverage Caffe2 to implement a wide range of AI applications, from image recognition to natural language processing, with ease. This flexibility allows businesses to adapt to changing data requirements and explore different use cases seamlessly.
Caffe2 is renowned for its reliability and robustness in handling diverse machine learning tasks. Its stable performance ensures consistent results, making it a trusted choice for companies looking for a dependable tool for their data processing needs. Compared to other similar technologies that may face challenges in maintaining reliability, Caffe2 stands out for its solid performance and consistent outcomes.
In summary, companies choose Caffe2 for its exceptional speed, versatility, and reliability, making it a top choice in the realm of machine learning tools.
Caffe2 is a popular deep learning framework developed by Facebook that is widely used by companies across various industries for machine learning applications. Below are some real case studies showcasing how companies have leveraged Caffe2 to enhance their operations and products.
Case Studies:
1. GoPro GoPro, a well-known action camera manufacturer, utilizes Caffe2 for its video editing and image processing algorithms. The company started using Caffe2 in 2017 to improve the capabilities of its editing software, enabling users to apply advanced visual effects seamlessly. By harnessing the power of Caffe2, GoPro has been able to deliver a more immersive and streamlined editing experience to its customers.
2. NVIDIA NVIDIA, a leading technology company renowned for its graphics processing units (GPUs), employs Caffe2 in its deep learning research and development projects. Since 2016, NVIDIA has integrated Caffe2 into various initiatives, such as autonomous driving systems and natural language processing algorithms. By incorporating Caffe2 into its workflow, NVIDIA has accelerated the training and deployment of complex neural networks, pushing the boundaries of AI innovation.
3. Pinterest Pinterest, the popular visual discovery platform, has integrated Caffe2 into its content recommendation engine to enhance user engagement. Starting in 2018, Pinterest deployed Caffe2 to optimize its personalized content recommendations, delivering more relevant Pins to users based on their preferences and behaviors. Through the use of Caffe2, Pinterest has achieved significant improvements in user retention and satisfaction on its platform.
These case studies demonstrate the diverse applications of Caffe2 in real-world scenarios, showcasing how companies across industries leverage this powerful machine learning tool to drive innovation and enhance their products and services.
Sie können eine aktuelle Liste von Unternehmen, die Caffe2 verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 144 Unternehmen, die Caffe2 verwenden.
Caffe2 wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Computer Hardware Manufacturing", "Software Development", "Software Development", "Computer Hardware Manufacturing", "Telecommunications", "Medical Equipment Manufacturing", "It Services And It Consulting", "Technology, Information And Media", "It Services And It Consulting", "Semiconductor Manufacturing", verwendet. Für eine umfassende Liste aller Branchen, die Caffe2 nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Caffe2 verwenden, umfassen SambaNova Systems, Meta, Snap Inc., Snapchat, Qualcomm, Digital Diagnostics, Inc., Amazon Web Services, Inc., RELX, Expression Networks, Graphcore und viele mehr. Sie können eine vollständige Liste von 144 Unternehmen, die Caffe2 nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Caffe2 am beliebtesten in Vereinigte Staaten (73 companies), Vereinigtes Königreich (9 companies), Deutschland (5 companies), Kanada (4 companies), Indien (4 companies), Spanien (4 companies), Singapur (3 companies), Bermuda (1 companies), Brasilien (1 companies), China, Volksrepublik (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Caffe2 verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.