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RALEIGH, N.C. - November 19, 2024 — Red Hat, Inc., the world's leading provider of open source solutions, today announced the availability of Red Hat JBoss Enterprise Application Platform (JBoss EAP) 8 on Microsoft Azure.
RALEIGH, N.C. - November 19, 2024 — Red Hat, Inc., the world's leading provider of open source solutions, today announced an extended collaboration with Microsoft to streamline and scale artificial intelligence (AI) and generative AI (gen AI) deployments in the cloud.
Red Hat, Inc., the world's leading provider of open source solutions, today announced new survey results highlighting key drivers for cloud and AI strategies among IT managers in Ireland over the next 18 months.
RALEIGH, N.C. - December 2, 2024 — Red Hat, Inc., the world's leading provider of open source solutions, today announced that Red Hat Ansible Automation Platform has been named the leader by Forrester Research in The Forrester Wave™: Infrastructure Automation Platforms, Q4 2024.
RALEIGH, N.C. - December 2, 2024 — Red Hat, Inc., the world's leading provider of open source solutions, today announced the general availability of Red Hat Ansible Automation Platform Service on AWS as a managed offering in AWS Marketplace.
Red Hat, Inc., the world’s leading provider of open source solutions, announced the winner of the Red Hat APAC Innovation Awards 2024 for Malaysia today.
RALEIGH, N.C. - December 12, 2024 — Red Hat, Inc.
IT is at a crossroads. On the one hand, there’s growing pressure to deliver instant solutions, but on the other hand, IT teams are bogged down by repetitive tasks that limit their ability to be proactive. So far, AI’s use in the enterprise has been defined only by what it can generate.
Today we’re announcing the general availability of Amazon Elastic Compute Cloud (Amazon EC2) U7inh instance, a new addition to EC2 High Memory family, built in collaboration with Hewlett Packard Enterprise (HPE).
Managing generative AI (GenAI) projects involves tracking training data, model parameters and training runs to improve model performance. Comparing experiments, identifying optimal configurations and managing deployments without a reliable system can become overwhelming.
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