SAGEMAKER HYPERPOD Canadian Trademark Information

On Friday, March 1, 2024, a canadian trademark registration was filed for SAGEMAKER HYPERPOD by Amazon Technologies, Inc. *********, **********, ***** ****. The Canadian IP office has given the trademark application number of 2313326. The current status of this trademark filing is Filing date accorded. The SAGEMAKER HYPERPOD trademark is filed in the description of 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. , 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. .