Launch of the AI Infra SIG under the CNCF Japan chapter: First meetup and call for speakers

Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations... Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations for modern AI workloads. To bring together Japan-local engineers, researchers, and platform builders to share best practices, operational experiences, and emerging technologies for Cloud Native AI infrastructure, Cloud Native Community Japan (CNCJ ) is launching AI Infra SIG under the CNCF Japan chapter . In this post, we introduce the motivation behind the AI Infra SIG, its mission, and the FIRST meetup—along with an open call for speakers. Why We Are Launching the AI Infra SIG The emergence of infrastructure challenges for AI workloads. The Cloud Native ecosystem has historically evolved around web applications and microservices. These workloads are typically stateless, CPU- and memory-oriented, and exhibit relatively predictable traffic and scaling patterns. Modern AI workloads, however—particularly those powered by LLMs and AI agents—present a new set of infrastructure challenges with heavy dependence on specialized hardware, complex distributed processing and orchestration, and unique traffic and scaling characteristics. To address these challenges, the Kubernetes community has been actively advancing its vision of AI Readiness , introducing new capabilities, projects, and standards for AI-native infrastructure. Japan is also home to a growing community of practitioners, contributors, and organizations actively working in this space. Many engineers from Japan are already involved in open source projects and community discussions across the Cloud Na

Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations... Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations for modern AI workloads. To bring together Japan-local engineers, researchers, and platform builders to share best practices, operational experiences, and emerging technologies for Cloud Native AI infrastructure, Cloud Native Community Japan (CNCJ ) is launching AI Infra SIG under the CNCF Japan chapter . In this post, we introduce the motivation behind the AI Infra SIG, its mission, and the FIRST meetup—along with an open call for speakers. Why We Are Launching the AI Infra SIG The emergence of infrastructure challenges for AI workloads. The Cloud Native ecosystem has historically evolved around web applications and microservices. These workloads are typically stateless, CPU- and memory-oriented, and exhibit relatively predictable traffic and scaling patterns. Modern AI workloads, however—particularly those powered by LLMs and AI agents—present a new set of infrastructure challenges with heavy dependence on specialized hardware, complex distributed processing and orchestration, and unique traffic and scaling characteristics. To address these challenges, the Kubernetes community has been actively advancing its vision of AI Readiness , introducing new capabilities, projects, and standards for AI-native infrastructure. Japan is also home to a growing community of practitioners, contributors, and organizations actively working in this space. Many engineers from Japan are already involved in open source projects and community discussions across the Cloud Native AI ecosystem. At the same time, innovation is extending well beyond Kubernetes and CNCF. Across the broader Linux Foundation ecosystem, AI and agent technologies are rapidly emerging as major areas of community-driven development. The PyTorch Foundation has become a hub for open-source AI innovation, supporting projects such as PyTorch and vLLM , while the Agentic AI Foundation has brought together communities working on open standards and interoperability across the rapidly evolving AI agent ecosystem. These developments are not limited to global communities. Japan has an active and growing ecosystem of engineers, researchers, and open-source contributors participating across CNCF, the PyTorch Foundation, the Agentic AI Foundation, and other Linux Foundation projects. Events such as AGNTCon + MCPCon Japan 2026 further highlight the growing momentum around Cloud Native AI and Agentic AI technologies within Japan. As innovation, we believe there is a unique opportunity to strengthen collaboration within Japan while connecting local practitioners to the broader global open-source ecosystem. This is one of the key motivations behind launching the CNCJ AI Infra SIG . Mission and Activities The CNCJ AI Infra SIG aims to bring together engineers, researchers, and platform builders who are shaping the future of AI infrastructure on Cloud Native technologies. Our mission is to: Share optimization techniques, operational best practices and real-world experiences for building and operating AI infrastructure and workloads. Strengthen Japan’s engagement with upstream open-source projects and contribute back to the broader AI-related Cloud Native and Linux Foundation ecosystems. To achieve these goals, the AI Infra SIG will organize regular community activities to facilitate knowledge sharing and collaboration around Cloud Native AI infrastructure, including: Meetups covering practical experiences, emerging technologies, and updates from upstream communities. Joint initiatives with other CNCJ communities, such as Cloud Native Security Japan , Cloud Native Platform Engineering Japan , and CoHDI Japan . Collaborative events with companies, research institutions, and broader open source communities across the Linux Foundation ecosystem, including the PyTorch Foundation and Agentic AI Foundation. The AI Infra SIG welcomes discussions and contributions across the Cloud Native AI infrastructure ecosystem, including but not limited to: Scheduling : Dynamic Resource Allocation (DRA), Workload-Aware Scheduling, Kueue Orchestration : JobSet, LeaderWorkerSet, KubeRay AI Deployment Platforms : KServe, llm-d, N, AIBrix  Networking : Gateway API Inference Extension, kgateway, Envoy AI Gateway Agent Infrastructure : agentgateway (AAIF) and Agent Sandbox  Standards and Conformance : AI Conformance and related standardization efforts The AI Infra SIG organizers are (in alphabetical order): Masaya Aoyama, Senior Software Engineer / Product Owner, CyberAgent, Inc. Sunyanan Choochotkaew (Pang), Senior Research Scientist, IBM Research – Tokyo Toru Komatsu (Toru), Engineer, Preferred Networks, Inc Shingo Omura, Principal Architect of AI Infrastructure, LY Corporation Kenta Tada, Member, CNCF End User Technical Advisory Board & eBPF Foundation Governing Board Kenji Tagashira, Senior Manager, Fsas Technologies Inc Join Our First Meetup & Call For Speaker! To celebrate the launch of the SIG, we are delighted to invite you to our first meetup , themed “Let’s Get Started with the CNCJ AI Infra SIG — Where Are We Today?” Together, we’ll explore the current landscape of Cloud Native AI infrastructure and discuss the latest developments across Kubernetes, CNCF, and the broader open-source ecosystem. Date: October 1, 2026 Time: 18:00–21:00 JST Venue: Seminar Room, 17F Garden Terrace Kioicho (with live stream) Registration Fee: Free Link: https://ocgroups.dev/cncf/group/bqd97by/event/7fu3gfg   CfS deadline:

Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations... Japanese article follows English one. As we all know, AI is advancing from generative AI to agents, driving growing demand for scalable, efficient infrastructure. Kubernetes and the broader Cloud Native ecosystem are becoming increasingly critical foundations for modern AI workloads. To bring together Japan-local engineers, researchers, and platform builders to share best practices, operational experiences, and emerging technologies for Cloud Native AI infrastructure, Cloud Native Community Japan (CNCJ ) is launching AI Infra SIG under the CNCF Japan chapter . In this post, we introduce the motivation behind the AI Infra SIG, its mission, and the FIRST meetup—along with an open call for speakers. Why We Are Launching the AI Infra SIG The emergence of infrastructure challenges for AI workloads. The Cloud Native ecosystem has historically evolved around web applications and microservices. These workloads are typically stateless, CPU- and memory-oriented, and exhibit relatively predictable traffic and scaling patterns. Modern AI workloads, however—particularly those powered by LLMs and AI agents—present a new set of infrastructure challenges with heavy dependence on specialized hardware, complex distributed processing and orchestration, and unique traffic and scaling characteristics. To address these challenges, the Kubernetes community has been actively advancing its vision of AI Readiness , introducing new capabilities, projects, and standards for AI-native infrastructure. Japan is also home to a growing community of practitioners, contributors, and organizations actively working in this space. Many engineers from Japan are already involved in open source projects and community discussions across the Cloud Native AI ecosystem. At the same time, innovation is extending well beyond Kubernetes and CNCF. Across the broader Linux Foundation ecosystem, AI and agent technologies are rapidly emerging as major areas of community-driven development. The PyTorch Foundation has become a hub for open-source AI innovation, supporting projects such as PyTorch and vLLM , while the Agentic AI Foundation has brought together communities working on open standards and interoperability across the rapidly evolving AI agent ecosystem. These developments are not limited to global communities. Japan has an active and growing ecosystem of engineers, researchers, and open-source contributors participating across CNCF, the PyTorch Foundation, the Agentic AI Foundation, and other Linux Foundation projects. Events such as AGNTCon + MCPCon Japan 2026 further highlight the growing momentum around Cloud Native AI and Agentic AI technologies within Japan. As innovation, we believe there is a unique opportunity to strengthen collaboration within Japan while connecting local practitioners to the broader global open-source ecosystem. This is one of the key motivations behind launching the CNCJ AI Infra SIG . Mission and Activities The CNCJ AI Infra SIG aims to bring together engineers, researchers, and platform builders who are shaping the future of AI infrastructure on Cloud Native technologies. Our mission is to: Share optimization techniques, operational best practices and real-world experiences for building and operating AI infrastructure and workloads. Strengthen Japan’s engagement with upstream open-source projects and contribute back to the broader AI-related Cloud Native and Linux Foundation ecosystems. To achieve these goals, the AI Infra SIG will organize regular community activities to facilitate knowledge sharing and collaboration around Cloud Native AI infrastructure, including: Meetups covering practical experiences, emerging technologies, and updates from upstream communities. Joint initiatives with other CNCJ communities, such as Cloud Native Security Japan , Cloud Native Platform Engineering Japan , and CoHDI Japan . Collaborative events with companies, research institutions, and broader open source communities across the Linux Foundation ecosystem, including the PyTorch Foundation and Agentic AI Foundation. The AI Infra SIG welcomes discussions and contributions across the Cloud Native AI infrastructure ecosystem, including but not limited to: Scheduling : Dynamic Resource Allocation (DRA), Workload-Aware Scheduling, Kueue Orchestration : JobSet, LeaderWorkerSet, KubeRay AI Deployment Platforms : KServe, llm-d, N, AIBrix  Networking : Gateway API Inference Extension, kgateway, Envoy AI Gateway Agent Infrastructure : agentgateway (AAIF) and Agent Sandbox  Standards and Conformance : AI Conformance and related standardization efforts The AI Infra SIG organizers are (in alphabetical order): Masaya Aoyama, Senior Software Engineer / Product Owner, CyberAgent, Inc. Sunyanan Choochotkaew (Pang), Senior Research Scientist, IBM Research – Tokyo Toru Komatsu (Toru), Engineer, Preferred Networks, Inc Shingo Omura, Principal Architect of AI Infrastructure, LY Corporation Kenta Tada, Member, CNCF End User Technical Advisory Board & eBPF Foundation Governing Board Kenji Tagashira, Senior Manager, Fsas Technologies Inc Join Our First Meetup & Call For Speaker! To celebrate the launch of the SIG, we are delighted to invite you to our first meetup , themed “Let’s Get Started with the CNCJ AI Infra SIG — Where Are We Today?” Together, we’ll explore the current landscape of Cloud Native AI infrastructure and discuss the latest developments across Kubernetes, CNCF, and the broader open-source ecosystem. Date: October 1, 2026 Time: 18:00–21:00 JST Venue: Seminar Room, 17F Garden Terrace Kioicho (with live stream) Registration Fee: Free Link: https://ocgroups.dev/cncf/group/bqd97by/event/7fu3gfg   CfS deadline: