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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.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...