Cisco and NVIDIA Collaborate to Elevate AI Security and Performance Standards
In a groundbreaking announcement at the Cisco Live conference in San Diego, Cisco and NVIDIA have unveiled new advancements in secure, scalable, and high-performance enterprise AI solutions. These innovations are poised to redefine how businesses manage and protect their AI workflows, ensuring both security and efficiency. This collaboration marks a significant milestone in the ongoing evolution of AI-driven enterprise solutions.
Enhancing AI Security with Cisco AI Defense and Hypershield
At the heart of this announcement are the Cisco AI Defense and Hypershield security solutions. These are designed to integrate seamlessly with NVIDIA AI, providing comprehensive oversight, validation, and protection across the entire AI workflow. This development builds on the Cisco Secure AI Factory with NVIDIA, which was introduced at the NVIDIA GTC conference in March. As AI becomes increasingly central to every sector, enterprises recognize that speed alone is insufficient; they require trust and security throughout the AI lifecycle.
The newly introduced Cisco AI Defense and Hypershield solutions offer a robust framework for enterprises to achieve high-performance, scalable, and reliable AI operations. These solutions cater to the growing demand for secure management of both agentic and generative AI workloads. The NVIDIA Enterprise AI Factory validated design now incorporates these security measures, safeguarding each stage of the AI lifecycle and enabling enterprises to confidently deploy AI at scale.
Trustworthy AI from Data Ingestion to Deployment
The Cisco Secure AI Factory with NVIDIA addresses the entire spectrum of AI operations, from data ingestion and model training to deployment and inference. This ensures continuous monitoring and protection of AI workloads, a critical component for businesses aiming to maintain a competitive edge while safeguarding their AI assets.
Cisco’s AI Defense solution provides runtime visibility and monitoring for AI applications and agents deployed on the NVIDIA AI platform. This allows enterprises to track and validate open models that have been post-trained with NVIDIA NeMo and safeguarded using NVIDIA Blueprints. Additionally, Cisco’s security, privacy, and safety models operate as NVIDIA NIM microservices, optimizing inference performance for production AI environments.
Real-Time Threat Detection with Hypershield
Cisco Hypershield is set to enhance its capabilities by integrating with NVIDIA BlueField DPUs and the NVIDIA DOCA Argus framework. This integration will enable pervasive, distributed security and real-time threat detection across every node of the AI infrastructure. Whether AI workloads are running in a centralized data center or at the edge, organizations can benefit from real-time threat detection at the network, server, and application layers. Together, NVIDIA and Cisco empower enterprises to maintain zero-trust security across distributed AI environments, regardless of where data and workloads are located.
Maximizing AI Networking Performance
AI workloads are characterized by their data hunger and sensitivity to latency. To address these demands, Cisco and NVIDIA have made significant enhancements to AI networking:
- Cisco Intelligent Packet Flow: This technology dynamically directs traffic using real-time telemetry and awareness of network congestion, optimizing performance across AI fabrics.
- NVIDIA Spectrum-X: An AI-optimized Ethernet platform that delivers high-throughput, low-latency connectivity with advanced routing and congestion control capabilities.
- End-to-End Visibility: Unified monitoring across networks, GPUs, and distributed AI jobs ensures that issues are proactively detected and addressed before they impact performance or security.
Expanded AI PODs for Flexible, Scalable AI Solutions
To meet the evolving needs of enterprise AI, Cisco is expanding its AI PODs. These modular, validated building blocks are designed to support diverse AI workloads, including training, fine-tuning, and inference. This flexibility allows organizations to efficiently and securely scale their AI initiatives, whether they are deploying a small number of models or operating expansive, distributed AI factories.
A noteworthy addition to this infrastructure is the new NVIDIA RTX PRO 6000 Blackwell Server GPU, now available for order with Cisco UCS C845A M8 servers. This powerful GPU offers exceptional performance for next-generation AI applications, further enhancing the capabilities of enterprise AI systems.
A Blueprint for Scalable AI Innovation
The collaboration between Cisco and NVIDIA provides a comprehensive blueprint for organizations to confidently scale their AI operations, accelerate innovation, and protect their most valuable assets. The Cisco Secure AI Factory with NVIDIA serves as a guide for enterprises navigating the complexities of AI deployment, ensuring that they can harness the full potential of AI technologies while maintaining robust security measures.
For more information on the Cisco Secure AI Factory with NVIDIA, visit their official page. This resource offers valuable insights into how organizations can leverage these cutting-edge solutions to drive innovation and growth in their AI initiatives.
In conclusion, the partnership between Cisco and NVIDIA marks a significant advancement in the field of enterprise AI, offering businesses a reliable and secure framework to manage their AI workflows. As AI continues to transform industries, these innovations will play a crucial role in enabling organizations to navigate the challenges and opportunities of the AI-driven future.
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