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The Union trademark SAGEMAKER HYPERPOD was filed as Word mark on 03/01/2024 at the European Union Intellectual Property Office.
It was registered as a trademark on 07/13/2024.
The current status of the mark is "Trademark registered".
| Trademark form | Word mark |
| File reference | 018993435 |
| Application date | March 1, 2024 |
| Publication date | April 5, 2024 |
| Entry date | July 13, 2024 |
| Expiration date | March 1, 2034 |
Trademark owner
410 Terry Ave N
98109 Seattle
US
98109 Seattle
US
Trademark representatives
7 Rue Guimard
1040 Brussels
BE
goods and services
9
Downloadable computer software for machine learning and deep learning for training models using managed, persistent clusters; Downloadable computer software for machine learning and deep learning for experimentation, training, developing, building, testing, installing frameworks, and deploying software and applications; Downloadable computer software for machine learning and deep learning for training models with interactive debugging, start and stopping jobs with low latency, and retaining 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 compute, memory, and network resources; Downloadable computer software for developing, deploying, updating and monitoring the performance of machine learning, deep learning and artificial intelligence applications
42
Software as a service (SAAS) services featuring software for machine learning and deep learning for training models using managed, persistent clusters; Software as a service (SAAS) services featuring software for machine learning and deep learning for experimentation, training, developing, building, testing, installing frameworks, and deploying 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 compute, memory, and network resources; Providing online non downloadable software for machine learning and deep learning for training models with interactive debugging, start and stopping jobs with low latency, and retaining the same set of instance across training runs; Providing online non downloadable software using data science, namely, artificial intelligence (AI), machine learning, deep learning, statistical learning and data mining, for experimentation, training, developing, building, testing, installing frameworks, and deploying software and applications; Software as a service (SaaS) services featuring software for developing, deploying, updating and monitoring the performance of machine learning, deep learning and artificial intelligence applications
ID: 11018993435