NRCC
NOTICE OF REGISTRATION CONFIRMATION EMAILED
06/24/2025
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Official data from USPTO
SAGEMAKER HYPERPOD
Did you know this trademark is already registered in United States?
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Active USPTO registrationType: WordOffice: United States
Quick snapshot
SAGEMAKER HYPERPOD
ST13
US500000098289655Class
9, 42
Filing
98289655
Registration
7845630
Risk and opportunity diagnosis
Executive reading for naming, filing, and monitoring decisions.
USPTO status
Active USPTO registration
Case type
Application and registration
Recorded events
19
Latest update
06/24/2025
Trademark type
Word
Nice classes
9, 42
Filing date
11/29/2023
Registration date
06/24/2025
Expiration date
-
Complete case details
Structured fields from the responsible authority and the official record.
Status date
06/24/2025
Last transaction
06/24/2025
Responsible office
United States Patent and Trademark Office
Status code
700
Official register
Principal Register
Filing basis
Intent to use
First use anywhere
11/29/2023
First use in commerce
11/29/2023
Drawing code
4
Owner type
03
Owner location
Seattle, WA
Examiner
SCHMIDT, JOHN
Law office
N10
Current location
PUBLICATION AND ISSUE SECTION
Holders and representatives
Holders
Amazon Technologies, Inc.
Representatives
Susan Kayser Baker & Hostetler, LLP
Technical classification
Nice Classes
Class 9Class 42
Vienna Codes
No Vienna codes available.
Goods and services
Class 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
Class 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
Publications
History of USPTO decisions and trademark events.
19 publications found
R.PR
REGISTERED-PRINCIPAL REGISTER
06/24/2025
SUNA
NOTICE OF ACCEPTANCE OF STATEMENT OF USE E-MAILED
06/02/2025
CNPR
ALLOWED PRINCIPAL REGISTER - SOU ACCEPTED
06/02/2025
SUPC
STATEMENT OF USE PROCESSING COMPLETE
05/09/2025
AITU
CASE ASSIGNED TO INTENT TO USE PARALEGAL
05/09/2025
IUAF
USE AMENDMENT FILED
02/19/2025
EISU
TEAS STATEMENT OF USE RECEIVED
02/19/2025
TCCA
TEAS CHANGE OF CORRESPONDENCE RECEIVED
01/23/2025
ARAA
ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED
01/23/2025
REAP
TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED
01/23/2025
NOAM
NOA E-MAILED - SOU REQUIRED FROM APPLICANT
09/03/2024
NPUB
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
07/09/2024
PUBO
PUBLISHED FOR OPPOSITION
07/09/2024
NONP
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
06/19/2024
CNSA
APPROVED FOR PUB - PRINCIPAL REGISTER
05/30/2024
DOCK
ASSIGNED TO EXAMINER
05/28/2024
NWOS
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
01/23/2024
NWAP
NEW APPLICATION ENTERED
12/02/2023
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