Introducing Amazon EC2 Capacity Blocks for ML | Amazon Web Services

1 327

22.1

Amazon Web Services776 тыс

Следующее

31.10.23 – 51011:39

Using AWS IAM action last accessed information | Amazon Web Services

Популярные

25 дней – 9 3363:14

AWS Enables Ferrari Manufacturing Innovation | Amazon Web Services

11 дней – 1 1785:22

Back to Basics: Event-Driven Architecture with Kinesis

Опубликовано 31 октября 2023, 23:05

Amazon EC2 Capacity Blocks for ML provide you with assured and predictable access to GPU instances for your machine learning (ML) workloads. You can use EC2 Capacity Blocks to reserve GPU instances for a future date for the amount of time that you require to run your ML workloads.

Learn more about Amazon EC2 Capacity Blocks for ML at go.aws/49f4Ely.

Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#GenerativeAI #MachineLearning #EC2CapacityBlocks #EC2 #AWS #AmazonWebServices #CloudComputing

Свежие видео