Annabelle Stephenson
In an exciting development, technology giants Cisco and Nvidia have come together to strengthen their partnership and offer customers integrated software and networking solutions that will simplify the creation of AI-enabled infrastructures.
This collaboration solidifies the strategic focus of both companies, emphasizing the growth of Ethernet networks in the field of AI workloads within enterprises. It also grants Cisco and Nvidia access to their respective sales and support systems, enabling them to better serve their customers.
Cisco plans to sell its Cisco Ethernet-based solutions, specifically designed for Nvidia, through its global distribution network. Additionally, professional services and support will be provided by key partners who are dedicated to assisting companies in implementing GPU clusters through Ethernet infrastructure.
The latest Nvidia Tensor Core GPUs will be made available in Cisco Unified Computing System (UCS) rack servers and blade systems, including the Cisco UCS X and UCS X Direct series. These powerful products are specifically designed for handling AI workloads and processing large amounts of data in data centers and at the network edge. The integrated package, featuring the Nvidia AI Enterprise software, is set to be released in the second quarter. It includes pre-trained models and developer tools for AI solutions that are ready to be used.
To ensure seamless deployment and management of AI clusters, Cisco’s Validated Design (CVD)-validated reference architectures will be available. These reference architectures make it easy to scale AI clusters across a wide range of applications, including virtualized and containerized environments in both converged and hyperconverged options. Cisco plans to release CVDs for FlexPod and FlashStack for AI inferencing with Nvidia AI Enterprise software later this month, with more to come in the near future.
In addition to hardware and software integrations, the integrated package will include support for Cisco’s ThousandEyes Digital Experience Monitoring software. This integration will provide AI-driven insights and automate issue remediation between cloud and on-premises networks, ensuring a seamless user experience.
Frequently Asked Questions (FAQ):
1. What are the goals of the Cisco and Nvidia collaboration and agreement?
The collaboration aims to strengthen the role of Ethernet networks in the field of AI workloads in enterprises. It seeks to provide integrated software and networking solutions that make it easier for customers to build AI-enabled infrastructures.
2. Which specific Cisco solutions will be sold for Nvidia?
Cisco Ethernet-based solutions, specifically designed for Nvidia, will be sold through Cisco’s global distribution network. These solutions come with professional services and support provided by key partners.
3. Which Cisco Unified Computing System (UCS) rack servers and blade systems will support the latest Nvidia Tensor Core GPUs?
The latest Nvidia Tensor Core GPUs will be available in Cisco UCS rack servers and blade systems, including the Cisco UCS X and UCS X Direct series. These products are optimized for AI workloads and processing large amounts of data in data centers and at the network edge.
4. What software is included in the integrated package?
The integrated package, slated for release in the second quarter, includes Nvidia AI Enterprise software. This software package offers pre-trained models and developer tools for ready-to-use AI solutions.
5. What are the benefits of Cisco Validated Design (CVD)-validated reference architectures?
CVD-validated reference architectures enable easy deployment and management of AI clusters at any scale across various applications. They support virtualized and containerized environments in both converged and hyperconverged options.
6. What software integrations are available in the integrated package?
The integrated package also includes integrations with other Cisco software, such as ThousandEyes Digital Experience Monitoring. This software provides AI-driven insights and automatic issue remediation between cloud and on-premises networks, ensuring a seamless user experience.
Key Term Definitions:
— AI (Artificial Intelligence): The ability of computers and machines to perform tasks that typically require human intelligence, such as image recognition, natural language understanding, decision-making, and learning.
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The source of the article is from the blog girabetim.com.br
