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Cisco and NVIDIA Partners on AI Infrastructure for Data Centers

Cisco and NVIDIA announced plans to deliver AI infrastructure solutions for the data center 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 re-architect their infrastructures," said Chuck Robbins, Chair and CEO, 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 and CEO of 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, 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.

Cisco and NVIDIA have offered a broad range of integrated product solutions over the past several years across Webex collaboration devices and data center 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 center to enable enterprise customers with scalable and automated AI cluster management, automated troubleshooting, best-in-class customer experiences, and more. Highlights include:

Cisco and NVIDIA Integrated Data Center Solutions available now:

- 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

- 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.

- 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.

- 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.

- 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.

- 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.

- Partners Reducing Risks: As organizations plan to successfully adopt AI and automation, they will look to Cisco's global ecosystem of partners to advise, support and guide them.

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

Availability: 2Q Calendar Year; Solutions sold through Cisco Channel partners.

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Cisco and NVIDIA Partners on AI Infrastructure for Data Centers

Cisco and NVIDIA announced plans to deliver AI infrastructure solutions for the data center 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 re-architect their infrastructures," said Chuck Robbins, Chair and CEO, 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 and CEO of 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, 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.

Cisco and NVIDIA have offered a broad range of integrated product solutions over the past several years across Webex collaboration devices and data center 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 center to enable enterprise customers with scalable and automated AI cluster management, automated troubleshooting, best-in-class customer experiences, and more. Highlights include:

Cisco and NVIDIA Integrated Data Center Solutions available now:

- 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

- 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.

- 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.

- 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.

- 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.

- 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.

- Partners Reducing Risks: As organizations plan to successfully adopt AI and automation, they will look to Cisco's global ecosystem of partners to advise, support and guide them.

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

Availability: 2Q Calendar Year; Solutions sold through Cisco Channel partners.

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There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

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IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

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In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...

In today's data-driven world, the management of databases has become increasingly complex and critical. The following are findings from Redgate's 2025 The State of the Database Landscape report ...

With the 2027 deadline for SAP S/4HANA migrations fast approaching, organizations are accelerating their transition plans ... For organizations that intend to remain on SAP ECC in the near-term, the focus has shifted to improving operational efficiencies and meeting demands for faster cycle times ...

As applications expand and systems intertwine, performance bottlenecks, quality lapses, and disjointed pipelines threaten progress. To stay ahead, leading organizations are turning to three foundational strategies: developer-first observability, API platform adoption, and sustainable test growth ...