Cisco and NVIDIA Unveil Hassle-Free, Secure AI Solutions for Enterprise Deployment

Cisco and NVIDIA have teamed up to offer AI infrastructure solutions for data centers, including integrated product solutions, validated reference architectures, and simplified management and operations, to help enterprises navigate the transitions for AI and optimize performance for data-intensive workloads.

The partnership between Cisco and NVIDIA provides customers with a comprehensive solution for AI infrastructure, simplifying the deployment and management process.
The integration of NVIDIA's Tensor Core GPUs into Cisco's M7 generation of UCS servers ensures optimal performance for AI and data-intensive workloads.
The collaboration also includes the development of jointly validated reference architectures, making it easier for organizations to deploy and manage AI clusters in various use cases.

Cisco and nVidia have joined forces to provide AI infrastructure solutions for data centers, making it easier for enterprises to deploy and manage the computing power required in the AI era. The partnership aims to help customers navigate the transitions for AI with secure Ethernet-based infrastructure. Cisco, known for its expertise in Ethernet networking, and NVIDIA, the creator of the GPU that fueled the AI boom, have previously collaborated on integrated product solutions for hybrid workforces and data centers. Now, they are expanding their partnership to offer scalable and automated AI cluster management, troubleshooting, and customer experiences.

The collaboration includes the integration of NVIDIA’s Tensor Core GPUs into Cisco’s M7 generation of UCS rack and blade servers, enabling optimal performance for AI and data-intensive workloads. Additionally, Cisco is now offering NVIDIA AI Enterprise, which includes software frameworks, pre-trained models, and development tools, on its global price list. The companies have also developed jointly validated reference architectures through Cisco Validated Designs (CVDs), simplifying the deployment and management of AI clusters in various use cases.

To support AI infrastructure management and operations, Cisco provides simplified on-premises and cloud-based management through Cisco Nexus Dashboard and Cisco Intersight. Moreover, ThousandEyes offers Digital Experience Monitoring to provide AI-driven insights and automated problem remediation across different networks. The Cisco Observability Platform utilizes AI capabilities to correlate real-time telemetry across domains, improving digital experiences.

As organizations plan to adopt AI and automation, they can rely on Cisco’s ecosystem of partners for guidance and support. Partners such as ClusterPower and World Wide Technology (WWT) have expressed excitement about the collaboration, highlighting the need for adaptable data center infrastructure that delivers optimized performance for AI workloads.

According to Vijay Bhagavath, Vice President of Cloud & Data Center Networks at IDC Research, the partnership between Cisco and NVIDIA brings together two trusted brands with complementary technologies to meet the unique demands of AI workloads. The solutions resulting from this collaboration are expected to be available in the second quarter of the calendar year, sold through Cisco’s channel partners.

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Background Information

About IDC:

IDC, or International Data Corporation, is a global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. Established in 1964, IDC offers valuable insights into industry trends, market forecasts, and technology adoption through its research and analysis. Their expertise aids businesses, governments, and IT professionals in making informed decisions and strategies.

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.