Masaharu Kanda
Senior Research Engineer, NTT, Inc.
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Masaharu Kanda began his career as an electrical and embedded software engineer. He worked on the development of Blu–ray–compatible optical drives, taking responsibility for electrical design and firmware development. Later, he contributed to the development of cloud gaming servers, focusing on Linux device drivers.
After that, he joined another startup, where he was involved in project management and the development of edge AI applications.
He is currently at NTT, Inc., participating in the IOWN concept and working on the design of a disaggregated computing controller.
Area of Expertise
Breaking the Single-Network Barrier: A Cross-Domain Look at Kubernetes Multi-Networking
Kubernetes multi-network support has been a long-standing challenge, the journey toward native multi-network capabilities has been complex and slow. But why? This panel brings together experts from diverse domains to discuss scenarios such as high-performance networking with advanced capabilities like RDMA for AI/ML, telco, and cloud gaming, network isolation for security, compliance, and multi-tenancy, VM connectivity and connectivity to on-premises infrastructure such as datacenter VLANs or EVPN fabrics. Together, they will examine the architectural challenges of integrating multiple networks into Kubernetes, recent upstream developments such as the DRA feature, and how communities such as SIG Network and WG Device Management are driving progress across the ecosystem. Join this interactive session to learn where multi-network support stands today, where it's heading, and to engage directly with upstream contributors and maintainers to share questions and real-world use cases.
Multi-Network Step-by-Step: Enabling SR-IOV Support From Kubernetes Network (DRA) Drivers
The SIG-Network community is on track to deliver official multi-network support in Kubernetes, using Dynamic Resource Allocation (DRA) and the PodNetwork resource to streamline NIC allocation and management. This innovation simplifies the creation of advanced networking for high-bandwidth AI/ML, Telco, and HPC workloads, integrating natively with Kubernetes rather than traditional Multus-based methods. The CNI DRA Driver, as a reference implementation, bridges DRA and CNI, enabling seamless Pod network interface configuration.
With this innovation, users gain transparent NIC usage visibility and fine-grained control, such as bandwidth allocation per Virtual Function (VF) of a physical NIC, optimizing performance and predictability.
This session will cover the design and implementation, and feature a demo of the enhanced driver. Attendees will learn practical methods for managing advanced NICs like SR-IOV in Kubernetes and gain insights into the latest Multi-network project updates.
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