Red Hat, AMD Partner to Boost AI & Virtualization in Cloud
In a move that is expected to revolutionize the way businesses deploy and manage their hybrid cloud infrastructure, Red Hat, a leading provider of open source solutions, has announced a strategic collaboration with AMD, a global semiconductor leader. The partnership aims to accelerate the adoption of artificial intelligence (AI) capabilities and optimize virtualized infrastructure, providing customers with greater choice and flexibility across the hybrid cloud.
The deepened alliance between Red Hat and AMD is designed to help businesses overcome the challenges associated with deploying and managing AI workloads in the cloud. With this partnership, the two companies will work together to develop optimized solutions that enable customers to deploy efficient AI models, modernize traditional virtual machines (VMs), and reduce costs. The collaboration is expected to benefit a wide range of industries, including finance, healthcare, and retail, which are increasingly relying on AI and machine learning to drive innovation and growth.
Optimizing AI Workloads in the Cloud
AI workloads are known for their demanding compute and memory requirements, making them challenging to deploy and manage in the cloud. The partnership between Red Hat and AMD aims to address these challenges by providing optimized solutions that enable customers to deploy efficient AI models, reduce latency, and improve overall performance. By leveraging AMD’s powerful EPYC processors and Red Hat’s advanced management tools, businesses will be able to accelerate the deployment of AI workloads and gain insights from their data more quickly.
“We are excited to deepen our partnership with AMD and bring our expertise in open source solutions to the table,” said Stefanie Chiras, Vice President and General Manager, Cloud, Red Hat. “Together, we will provide customers with the optimized solutions they need to accelerate their AI and machine learning initiatives and drive business innovation.”
Modernizing Virtualized Infrastructure
In addition to optimizing AI workloads, the partnership between Red Hat and AMD will also focus on modernizing traditional virtualized infrastructure. Virtualization has long been a key component of cloud computing, enabling businesses to run multiple VMs on a single physical server. However, traditional VMs can be resource-intensive and may not be optimized for cloud-native workloads. The partnership aims to address these challenges by providing customers with optimized solutions that enable them to modernize their VMs and take advantage of the benefits of cloud computing.
“We are thrilled to be partnering with Red Hat to bring our expertise in high-performance computing to the hybrid cloud,” said Forrest Norrod, Senior Vice President and General Manager, Datacenter and Embedded Solutions, AMD. “Our partnership will help customers accelerate their AI and machine learning initiatives, modernize their virtualized infrastructure, and drive business innovation.”
Benefits of the Partnership
The partnership between Red Hat and AMD is expected to benefit a wide range of customers, from small and medium-sized businesses to large enterprises. Some of the key benefits of the partnership include:
- Optimized AI workloads: The partnership will enable customers to deploy efficient AI models, reduce latency, and improve overall performance.
- Modernized virtualized infrastructure: The partnership will provide customers with optimized solutions that enable them to modernize their VMs and take advantage of the benefits of cloud computing.
- Greater choice and flexibility: The partnership will provide customers with greater choice and flexibility across the hybrid cloud, enabling them to deploy and manage their workloads in the most efficient and cost-effective way possible.
- Reduced costs: The partnership will enable customers to reduce costs by optimizing their AI workloads and modernizing their virtualized infrastructure.
Conclusion
The partnership between Red Hat and AMD is a significant development in the world of cloud computing, as it aims to accelerate the adoption of AI capabilities and optimize virtualized infrastructure. By working together, the two companies will provide customers with optimized solutions that enable them to deploy efficient AI models, modernize their VMs, and reduce costs. The partnership is expected to benefit a wide range of customers and industries, and will play an important role in driving business innovation and growth.
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