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Red Hat Brings OpenShift to NVIDIA BlueField DPUs to Boost AI Security

In order to facilitate the deployment of demanding AI application workloads with optimal security, networking, and storage capabilities, Red Hat announced support for Red Hat OpenShift on NVIDIA BlueField data processing units (DPUs).

Red Hat OpenShift on NVIDIA BlueField DPUs for AI Workloads

AI applications sometimes compete with vital infrastructure services for resources, despite the fact that contemporary business contexts demand more safe and effective methods to handle an expanding amount of data.

Security threats and possible performance bottlenecks may result from this. Red Hat OpenShift on NVIDIA BlueField provides a shared, cloud-native platform that facilitates improved networking, simplified provisioning, and lifecycle management in order to address this issue.

This method isolates the infrastructure workloads—such as networking and security services—that run on BlueField from the AI applications, providing extra advantages like:

  • Optimized resource utilization: Red Hat OpenShift uses intelligent resource management to offload networking services from the CPU to the DPU, which frees up resources for AI application workloads, thereby optimizing resource utilization.
  • Data plane and storage traffic acceleration: Red Hat OpenShift on BlueField helps speed up the data plane and storage traffic by offloading crypto and storage processing to the DPU, with support for NVMe over Fabrics (NVMe-oF) and an accelerated OVS data path, which enhances performance for demanding AI workloads.
  • Advanced cloud networking: Red Hat OpenShift, with distributed routing capabilities powered by BlueField, helps improve secure multi-tenancy, network scalability, performance and traffic efficiency across clusters while streamlining network operations.
  • Improved security posture: Red Hat OpenShift offloads infrastructure tasks to BlueField which helps reduce the attack surface for applications with a layered approach to security, effectively improving security posture.

In the upcoming weeks, a technical preview of Red Hat OpenShift support for NVIDIA BlueField will be accessible. Red Hat and NVIDIA will keep working together to deliver more support features for the NVIDIA DOCA software framework and third-party network features for NVIDIA BlueField DPUs on Red Hat OpenShift.

In order to fuel the upcoming generation of cloud-native AI factories, NVIDIA BlueField-4 will further expand these capabilities with next-generation acceleration, deeper DOCA integration, and improved performance. In order to facilitate smooth, high-performance connectivity for AI workloads across dispersed cloud environments, Red Hat is also collaborating with NVIDIA to support Spectrum-X Ethernet networking.

Looking ahead, NVIDIA BlueField-4 will further extend these capabilities with next-generation acceleration, deeper DOCA integration, and enhanced performance to power the next wave of cloud-native AI factories. Red Hat is also working with NVIDIA to support Spectrum-X Ethernet networking, enabling seamless, high-performance connectivity for AI workloads across distributed cloud environments.

Red Hat OpenShift on NVIDIA BlueField DPUs for AI WorkloadsKey Comments

Ryan King, vice president, AI and Infrastructure, Partner Ecosystem Success, Red Hat

“As the adoption of generative and agentic AI grows, the demand for advanced security and performance in datacenters has never been higher, particularly with the proliferation of AI workloads. Our collaboration with NVIDIA to enable Red Hat OpenShift support for NVIDIA BlueField DPUs provides customers with a more reliable, secure and high-performance platform to address this challenge and maximize their hardware investment.”

Justin Boitano, vice president, Enterprise Products, NVIDIA

“Data-intensive AI reasoning workloads demand a new era of secure and efficient infrastructure. The Red Hat OpenShift integration of NVIDIA BlueField builds on our longstanding work to empower organizations to achieve unprecedented scale and performance across their AI infrastructure.”

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