NRCC
NOTICE OF REGISTRATION CONFIRMATION EMAILED
24/06/2025
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Dado oficial do USPTO
SAGEMAKER HYPERPOD
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Active USPTO registrationTipo: VerbalEscritório: US
Snapshot rápido
SAGEMAKER HYPERPOD
ST13
US500000098289655Classe
9, 42
Pedido
98289655
Registro
7845630
Diagnóstico de risco e oportunidade
Leitura executiva para decisão de naming, protocolo e monitoramento.
Situação USPTO
Active USPTO registration
Tipo de processo
Pedido e registro
Eventos registrados
19
Atualização mais recente
24/06/2025
Classificação
Registrada
Tipo de marca
Verbal
Classes Nice
9, 42
Data de depósito
29/11/2023
Data de registro
24/06/2025
Data de expiração
-
Ação recomendada
Execute uma análise de colidência completa e valide classes antes de qualquer protocolo ou investimento de marca.
Próximo passo
Esses são os detalhes do processo de registro. Mesmo assim, o monitoramento constante é o que garante tranquilidade de que o seu principal ativo continue protegido.
Dados completos do processo
Campos estruturados da autoridade responsável e do histórico oficial.
Data da situação
24/06/2025
Última transação
24/06/2025
Escritório responsável
United States Patent and Trademark Office
Código da situação
700
Cadastro oficial
Principal Register
Fundamento do pedido
Intent to use
Primeiro uso
29/11/2023
Primeiro uso no comércio
29/11/2023
Código do desenho
4
Tipo de titular
03
Localização do titular
Seattle, WA
Examinador
SCHMIDT, JOHN
Unidade examinadora
N10
Localização atual
PUBLICATION AND ISSUE SECTION
Titulares e representantes
Titulares
Amazon Technologies, Inc.
Representantes
Susan Kayser Baker & Hostetler, LLP
Classificação técnica
Classes Nice
Classe 9Classe 42
Códigos Vienna
Sem códigos Vienna disponíveis.
Produtos e serviços
Classe 9
Downloadable computer software for machine learning and deep learning for training models using managedpersistent clusters; Downloadable computer software for machine learning and deep learning for experimentationtrainingdevelopingbuildingtestinginstalling frameworksdeploying software and applications; Downloadable computer software for machine learning and deep learning for training models with interactive debuggingstart and stopping jobs with low latencyretaining the same set of instance across training runs; Downloadable computer software for machine learning and deep learning for reducing foundation model training time; Downloadable computer software for machine learning and deep learning for streamlined distributed training for large training clusters; Downloadable computer software for machine learning and deep learning for a resilient training environment; Downloadable computer software for machine learning and deep learning for optimized utilization of cluster computememorynetwork resources; Downloadable computer software for developingdeployingupdating and monitoring the performance of machine learningdeep learning and artificial intelligence applications
Classe 42
Software as a service (SAAS) services featuring software for machine learning and deep learning for training models using managedpersistent clusters; Software as a service (SAAS) services featuring software for machine learning and deep learning for experimentationtrainingdevelopingbuildingtestinginstalling frameworksdeploying software and applications; Software as a service (SAAS) services featuring software for machine learning and deep learning for reducing foundation model training time; Software as a service (SAAS) services featuring software for machine learning and deep learning for streamlined distributed training for large training clusters; Software as a service (SAAS) services featuring software for machine learning and deep learning for a resilient training environment; Software as a service (SAAS) services featuring software for machine learning and deep learning for optimized utilization of cluster computememorynetwork resources; Providing online non downloadable software for machine learning and deep learning for training models with interactive debuggingstart and stopping jobs with low latencyretaining the same set of instance across training runs; Providing online non downloadable software using data scienceartificial intelligence (AI)machine learningdeep learningstatistical learning and data miningfor experimentationtrainingdevelopingbuildingtestinginstalling frameworksdeploying software and applications; Software as a service (SaaS) services featuring software for developingdeployingupdating and monitoring the performance of machine learningdeep learning and artificial intelligence applications
Publicações
Histórico de despachos e eventos da marca no USPTO.
19 publicações encontradas
R.PR
REGISTERED-PRINCIPAL REGISTER
24/06/2025
SUNA
NOTICE OF ACCEPTANCE OF STATEMENT OF USE E-MAILED
02/06/2025
CNPR
ALLOWED PRINCIPAL REGISTER - SOU ACCEPTED
02/06/2025
SUPC
STATEMENT OF USE PROCESSING COMPLETE
09/05/2025
AITU
CASE ASSIGNED TO INTENT TO USE PARALEGAL
09/05/2025
IUAF
USE AMENDMENT FILED
19/02/2025
EISU
TEAS STATEMENT OF USE RECEIVED
19/02/2025
TCCA
TEAS CHANGE OF CORRESPONDENCE RECEIVED
23/01/2025
ARAA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
23/01/2025
REAP
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
23/01/2025
NOAM
NOA E-MAILED - SOU REQUIRED FROM APPLICANT
03/09/2024
NPUB
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
09/07/2024
PUBO
PUBLISHED FOR OPPOSITION
09/07/2024
NONP
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
19/06/2024
CNSA
APPROVED FOR PUB - PRINCIPAL REGISTER
30/05/2024
DOCK
ASSIGNED TO EXAMINER
28/05/2024
NWOS
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
23/01/2024
NWAP
NEW APPLICATION ENTERED
02/12/2023
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