The Synergy of Cisco and Nvidia: Deepening Collaboration for Enhanced AI Infrastructure
In a groundbreaking move, technology powerhouses Cisco and Nvidia have forged an even stronger partnership to offer integrated software and networking solutions that will assist customers in building AI-supportive infrastructures more easily.
The agreement solidifies the strategy of both companies, focusing on the development of Ethernet networks in the realm of AI workloads within enterprises. It also grants both firms access to their respective sales and support systems.
Cisco stated that “Cisco Ethernet-based solutions, specifically designed for Nvidia, will be sold through Cisco’s global distribution network. Professional services and support will also be provided via key partners committed to assisting companies in implementing GPU clusters through Ethernet infrastructure.”
Regarding specific products, the latest Nvidia Tensor Core GPUs will be available in Cisco Unified Computing System (UCS) rack servers and blade systems, including the Cisco UCS X and UCS X Direct series. These products will cater to AI workloads and handling large amounts of data in data centers and at the network edge. The integrated package, slated for release in the second quarter, will include the Nvidia AI Enterprise software, featuring pre-trained models and developer tools for ready-to-use AI solutions.
“Cisco Validated Design (CVD)-validated reference architectures enable easy deployment and management of AI clusters at any scale across a wide range of applications. This includes virtualized and containerized environments in both converged and hyperconverged options. CVDs for FlexPod and FlashStack for AI inferencing with Nvidia AI Enterprise software will be available later this month, with more to come soon,” Cisco announced.
The integrated package will also encompass integrations with other Cisco software. For instance, support for Cisco’s ThousandEyes Digital Experience Monitoring software will provide AI-driven insights and automatic issue remediation between the cloud and on-premises networks.
Frequently Asked Questions (FAQ):
1. What are the goals of the collaboration and agreement between Cisco and Nvidia?
The agreement aims to boost the role of Ethernet networks in the field of artificial intelligence (AI) workloads within enterprises. The collaboration aims to provide integrated software and networking solutions that will assist customers in building AI-supportive infrastructures more easily.
2. What Cisco solutions will be specifically sold for Nvidia?
Cisco Ethernet-based solutions, specifically designed for Nvidia, will be sold through Cisco’s global distribution network. These offerings will include 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 will cater to AI workloads and handling large amounts of data in data centers and at the network edge.
4. What software will be included in the integrated package?
The integrated package, set for release in the second quarter, will include Nvidia AI Enterprise software, featuring 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 a wide range of applications. This includes virtualized and containerized environments in both converged and hyperconverged options.
6. What integrations with other software are available in the integrated package?
The integrated package will also include integrations with other Cisco software, such as ThousandEyes Digital Experience Monitoring, which provides AI-driven insights and automatic issue remediation between the cloud and on-premises network.
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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