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Cisco and NVIDIA have announced plans to deliver secure AI infrastructure solutions for the data centre that are easy to deploy and manage, enabling the massive computing power that enterprises need to succeed in the AI era.

“AI is fundamentally changing how we work and live, and history has shown that a shift of this magnitude is going to require enterprises to rethink and rearchitect their infrastructures,” said Chuck Robbins, Chair and CEO at Cisco. “Strengthening our great partnership with NVIDIA is going to arm enterprises with the technology and the expertise they need to build, deploy, manage, and secure AI solutions at scale.”

“Companies everywhere are racing to transform their businesses with generative AI,” said Jensen Huang, Founder of and CEO at NVIDIA. “Working closely with Cisco, we’re making it easier than ever for enterprises to obtain the infrastructure they need to benefit from AI, the most powerful technology force of our lifetime.”

Cisco and NVIDIA: A Powerful Partnership for Secure AI Infrastructure

Cisco, with its industry-leading expertise in Ethernet networking and extensive partner ecosystem, together with NVIDIA, the inventor of the GPU that fueled the AI boom, share a vision and commitment to help customers navigate the transitions for AI with highly secure Ethernet-based infrastructure. This will help companies put up secure AI infrastructure easily and much quicker.

Cisco and NVIDIA have offered a broad range of integrated product solutions over the past several years across Webex collaboration devices and data centre compute environments to enable hybrid workforces with flexible workspaces, AI-powered meetings and virtual desktop infrastructure.

The companies are now deepening their partnership in the data centre to enable enterprise customers with scalable and automated AI cluster management, automated troubleshooting, best-in-class customer experiences, and more.

Integrated Data Centre Solutions Available Today

1. NVIDIA’s newest Tensor Core GPUs are available in Cisco’s M7 generation of UCS rack and blade servers, including Cisco UCS X-Series and UCS X-Series Direct, to enable optimal performance across a broad array of AI and data-intensive workloads in the data center and at the edge. It also enables secure AI infrastructure.
   

   Cisco’s M7 generation of UCS racks

2. NVIDIA AI Enterprise, which includes software frameworks, pretrained models and development tools for more secure, stable and supported production AI is now available on Cisco’s global price list.
3. Jointly validated reference architectures through Cisco Validated Designs (CVDs) make it simple to deploy and manage AI clusters at any scale in a wide array of use cases spanning virtualized and containerized environments, with both converged and hyperconverged options. CVDs for FlexPod and FlashStack for Generative AI Inferencing with NVIDIA AI Enterprise will be available this month, with more to follow.
4. Supporting Cisco Networking Cloud. Cisco simplified AI infrastructure management and operations through both on-premises and cloud-based management with Cisco Nexus Dashboard and Cisco Intersight.
5. Digital Experience Monitoring. With AI workloads and data in the public cloud, on premises and across multiple data centers, ThousandEyes provides Digital Experience Monitoring to provide AI-driven insights and automated remediation of problems that occur anywhere across the cloud to on-premises networks.
6. The Cisco Observability Platform uses AI capabilities to contextualize and correlate real-time telemetry across domains, so organizations can better attain the visibility, insights and actions to improve digital experiences.
7. Partners Reducing Risks. As organisations plan to successfully adopt AI and automation, they will look to Cisco’s global ecosystem of partners to advise, support and guide them.

Bringing Together Innovations for Data Centres

“Building AI compute-based environments can be daunting task for organisations, and underscores the need for simple, adaptable data center infrastructure that delivers optimized performance,” said Vladimir Ester, Chief Technology Officer at and Co-Founder of ClusterPower. “Cisco and NVIDIA are bringing together the innovations to help enterprises support demand for more computing power in the data center and navigate the transitions for AI with secure and observable infrastructure.”

“World Wide Technology (WWT) is excited to see NVIDIA and Cisco combining resources to bring proven Ethernet-based AI solutions to market,” said Neil Anderson, Vice President of Cloud & Infrastructure Solutions at WWT. “Ethernet has the broadest scale in our client base, and this partnership and resulting offers will accelerate our ability to deliver AI solutions to our clients. Both Cisco and NVIDIA are already a significant part of WWT’s AI Proving Ground lab where we help clients select and operationalize AI architectures so they can more quickly turn their data into insights and action.”

“As enterprises look to transform their businesses with AI, they must understand the unique demands that AI workloads place on data centre infrastructure,” said Vijay Bhagavath, Vice President of Cloud & Data Centre Networks at IDC Research. “The Cisco and NVIDIA partnership brings together two trusted brands with complementary technologies to enable customers to realise the full potential of AI with a wide range of performance-optimised Ethernet-based infrastructure.”

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