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It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
36
Unternehmen
Wir haben Daten zu 36 Unternehmen, die Paperspace verwenden. Unsere Paperspace 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 |
---|---|---|---|---|
![]() DigitalOcean | Vereinigte Staaten | Software Development | 1.6K | $576M |
CIK TELECOM INC. | Kanada | Telecommunications | 270 | |
Paperspace | Vereinigte Staaten | It Services And It Consulting | 51 | $3M |
Scovan Inc. | Kanada | Oil And Gas | 250 | $33M |
Dashiell | Vereinigte Staaten | Utilities | 710 | $18M |
Vereinigte Staaten | Construction | 31 | $5.6M | |
Canadian Institute of Management and Technology | Kanada | Higher Education | 120 | $2.9M |
![]() Kpler | Belgien | Technology, Information And Media | 619 | $26M |
Atlas Technologies Inc | Vereinigte Staaten | Computer Hardware Manufacturing | 220 | $3.9M |
Esscoe, LLC | Vereinigte Staaten | Construction | 52 | $22M |
SCOVAN INC. | Kanada | Oil And Gas | 240 | $24M |
Iran | Staffing And Recruiting | 1 |
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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.
Es gibt 18 Alternativen zu Paperspace
Paperspace wird in 8 Ländern verwendet
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.
Paperspace is a leading technology provider in the realm of Machine Learning as a Service (MLaaS). As a cloud computing company, Paperspace offers a platform that empowers developers and data scientists with the tools and infrastructure needed to accelerate the development and deployment of machine learning models. By leveraging Paperspace, users can access scalable computing resources, collaborative workspaces, and pre-installed machine learning frameworks to streamline their AI projects.
In the competitive landscape of MLaaS, Paperspace stands out for its user-friendly interface, robust feature set, and cost-effective pricing model. The platform caters to a diverse range of industries, from healthcare to finance, enabling organizations of all sizes to harness the power of artificial intelligence for their specific needs. Paperspace's emphasis on simplifying complex machine learning workflows has garnered a loyal user base, cementing its position as a key player in the MLaaS market.
Founded in 2014 by Dillon Erb and Daniel Kobran, Paperspace emerged with the mission to democratize access to artificial intelligence tools and resources. Recognizing the growing demand for scalable machine learning infrastructure, the founders set out to create a platform that would bridge the gap between data science expertise and operational implementation. Since its inception, Paperspace has experienced steady growth, expanding its services and enhancing its technology stack to meet evolving industry requirements.
Currently, Paperspace commands a notable market share within the MLaaS sector, thanks to its innovative solutions and commitment to customer satisfaction. With the proliferation of AI technologies across various sectors, the demand for MLaaS offerings is projected to rise significantly in the coming years. As such, Paperspace is poised to capitalize on this trend and further solidify its market position, with forecasts indicating a promising growth trajectory for the company in the foreseeable future.
Paperspace is a leading solution for companies looking to harness the power of Machine Learning as a Service (MLaaS). With its innovative features and user-friendly interface, Paperspace has become the go-to platform for businesses seeking efficient and effective machine learning solutions.
Paperspace offers a streamlined workflow that simplifies the process of creating, deploying, and managing machine learning models. Unlike traditional methods that require extensive coding and technical expertise, Paperspace's intuitive interface allows users to focus on their data and insights rather than on the complexities of implementation.
One of Paperspace's key benefits is its scalability and flexibility. Whether you're a small startup or a large enterprise, Paperspace can easily adapt to your needs, allowing you to scale your machine learning operations as your business grows. This flexibility sets Paperspace apart from other similar technologies that may lack the capacity to support rapid expansion.
Paperspace offers a cost-effective solution for companies looking to implement machine learning technology. By providing affordable pricing plans and eliminating the need for expensive hardware investments, Paperspace makes machine learning accessible to organizations of all sizes. This cost-effectiveness gives Paperspace a competitive edge over other MLaaS providers that may be more financially restrictive.
Paperspace not only offers cutting-edge technology but also provides robust support and resources to help users maximize their machine learning capabilities. From comprehensive documentation to responsive customer service, Paperspace ensures that users have the assistance they need to succeed. This level of support distinguishes Paperspace from other MLaaS platforms that may lack the same level of dedicated assistance and guidance.
In conclusion, Paperspace stands out as a top choice for companies seeking a powerful, user-friendly, and cost-effective MLaaS solution.
Paperspace is a popular platform used by various companies to leverage its machine learning as a service capabilities. Here are some real-world case studies showcasing how companies have benefited from utilizing Paperspace:
OpenAI, known for its cutting-edge work in artificial intelligence, utilizes Paperspace for its machine learning infrastructure needs. The company started using Paperspace back in 2017 to power its deep learning models for natural language processing and reinforcement learning tasks. By leveraging Paperspace's scalable GPU instances and robust APIs, OpenAI has been able to accelerate its research and development efforts significantly.
AlphaSense, a leading AI-powered market intelligence platform, relies on Paperspace for its machine learning workload requirements. The company adopted Paperspace in 2018 to train its natural language processing algorithms for extracting valuable insights from vast amounts of unstructured data. With Paperspace's high-performance computing resources, AlphaSense has been able to enhance its search capabilities and deliver actionable intelligence to its clients more efficiently.
Scale AI, a prominent data labeling company, has integrated Paperspace into its infrastructure to support its machine learning operations. Since incorporating Paperspace in 2019, Scale AI has been utilizing the platform to train and optimize computer vision models for various applications, including autonomous vehicles and robotics. The scalability and flexibility offered by Paperspace have enabled Scale AI to streamline its data annotation workflows and improve the accuracy of its machine learning algorithms.
These case studies highlight the diverse ways in which companies across different industries have successfully integrated Paperspace into their technology stack to drive innovation and achieve their machine learning objectives.
Sie können eine aktuelle Liste von Unternehmen, die Paperspace 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 36 Unternehmen, die Paperspace verwenden.
Paperspace wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Software Development", "Telecommunications", "It Services And It Consulting", "Oil And Gas", "Utilities", "Construction", "Higher Education", "Technology, Information And Media", "Computer Hardware Manufacturing", "Construction", verwendet. Für eine umfassende Liste aller Branchen, die Paperspace nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Paperspace verwenden, umfassen DigitalOcean, CIK TELECOM INC., Paperspace, Scovan Inc., Dashiell, Apollo Sunguard Systems, Canadian Institute of Management and Technology, Kpler, Atlas Technologies Inc, Esscoe, LLC und viele mehr. Sie können eine vollständige Liste von 36 Unternehmen, die Paperspace nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Paperspace am beliebtesten in Vereinigte Staaten (10 companies), Kanada (4 companies), Argentinien (1 companies), Belgien (1 companies), Iran (1 companies), Irland (1 companies), Singapur (1 companies), Spanien (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Paperspace 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.