SANTA CLARA — At KubeCon + CloudNativeCon North America 2024, NVIDIA engineers and experts showcased their significant contributions to open-source software, emphasizing the company’s commitment to advancing cloud-native technologies. Chris Lamb, NVIDIA’s vice president of computing software platforms, delivered a keynote address on the vital role open-source software plays for both developers and enterprises. In addition, NVIDIA hosted nearly 20 interactive sessions with its engineers and specialists, offering insights into the company’s open-source initiatives.
The Cloud Native Computing Foundation (CNCF), a key part of the Linux Foundation and the event’s host, continues to drive collaboration among developers, industry leaders, and end users. As a CNCF member since 2018, NVIDIA actively supports a range of open-source projects that facilitate the development of AI technologies and tools aimed at accelerating innovation.
NVIDIA’s involvement with cloud-native projects is evident in its extensive contributions to the open-source ecosystem. The company has supported numerous CNCF initiatives over the last decade, particularly in the areas of AI and machine learning. One of the critical projects in cloud-native computing, Kubernetes, is evolving to address the increasing demands of AI workloads. NVIDIA’s collaboration with the Kubernetes community is a cornerstone of this evolution, with particular focus on dynamic resource allocation (DRA) to better manage AI-specific hardware resources.
NVIDIA has also led initiatives like KubeVirt, an open-source project that allows Kubernetes to manage both virtual machines and containers, providing a unified approach to hybrid infrastructure. Another major contribution is the NVIDIA GPU Operator, which automates the deployment and management of GPU resources within Kubernetes clusters, simplifying the integration of GPUs for AI applications.
Beyond Kubernetes, NVIDIA has made significant contributions to other critical CNCF projects. The company is a key player in Kubeflow, a toolkit designed to simplify the management of machine learning systems on Kubernetes. Other contributions include enhancing CNAO, a project that manages the lifecycle of host networks in Kubernetes clusters, and advancing Node Health Check for virtual machine high availability. NVIDIA has also supported efforts to improve observability and performance across cloud-native computing with projects like Prometheus, Envoy, OpenTelemetry, and Argo.
Through its participation in CNCF events and collaborations with cloud service providers, NVIDIA is working to optimize the management of AI and machine learning workloads. The company also actively engages in special interest groups and working groups focused on AI, helping shape the future of AI-powered cloud-native applications.
NVIDIA’s ongoing contributions are advancing the efficiency and scalability of cloud-native applications, enhancing the performance and resource utilization of AI workloads, and supporting the development of new AI-driven solutions. These efforts are helping to refine the infrastructure that developers rely on, ensuring the seamless integration of AI technologies with cloud-native systems, and reinforcing Kubernetes and CNCF projects as vital tools for managing AI compute workloads.
Check out NVIDIA’s keynote at KubeCon + CloudNativeCon North America 2024 delivered by Chris Lamb, where he discusses the importance of CNCF projects in building and delivering AI in the cloud and NVIDIA’s contributions to the community to push the AI revolution forward.
