Chris Aniszczyk
CTO, Cloud and Infrastructure
The Linux Foundation
Chris Aniszczyk is an open source executive and engineer with a passion for building a better world through open collaboration. He's currently a CTO at the Linux Foundation focused on developer relations and running the Open Container Initiative (OCI) / Cloud Native Computing Foundation (CNCF). Furthermore, he's a partner at Capital Factory where he focuses on mentoring, advising and investing in open source and infrastructure focused startups. At Twitter, he created their open source program and led their open source efforts. For many years he served on the Eclipse Foundation's Board of Directors representing the committer community and the Java Community Process (JCP) Executive Committee. In a previous life, he bootstrapped a consulting company, made many mistakes, lead and hacked on many eclipse.org and Linux related projects
Conference Sessions
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Operating Frontier Intelligence at Scale
8 Sep 2026 • 09:12-09:22
7F | Grand Ballroom II + III
"Building a model is only the beginning. When AI moves into production, the challenge shifts to making every GPU count, scaling dynamically with demand, maintaining reliability, and understanding increasingly complex systems. Cloud native technologies are becoming the operating layer that makes this possible. We’ll also look at the growing role of observability as AI systems become more complex and why the next generation of AI infrastructure will depend on open technologies working together across the stack."
Jonathan Bryce
Executive Director, Cloud and Infrastructure
The Linux Foundation
Jonathan Bryce is the Executive Director of Cloud & Infrastructure at the Linux Foundation, where he leads both the Cloud Native Computing Foundation (CNCF) and the OpenInfra Foundation—two of the largest and most influential open source communities in the world. With over 15 years of open source leadership, Jonathan co-founded the OpenStack project, guiding its evolution into a global ecosystem that supports a multi-billion-dollar market and serves as the de facto standard for open cloud infrastructure. Before his open source career, Jonathan spent over a decade in data center infrastructure and co-founded one of the industry’s earliest cloud computing companies, which grew into a billion-dollar business following its acquisition by Rackspace. Passionate about open collaboration, infrastructure innovation, and empowering users, contributors, and ecosystems worldwide, Jonathan frequently speaks at international conferences on open source strategy, infrastructure modernization, cloud-native technologies, and open source AI initiatives.
Conference Sessions
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Open Source for the AI Era
8 Sep 2026 • 09:02-09:07
7F | Grand Ballroom II + III
This opening will introduce the complete open source AI stack, from models and frameworks to inference, cloud native operations, infrastructure and hardware, and set the stage for the stories that follow. Through real-world examples across both days, the audience will see how these technologies work together to build, run and scale frontier intelligence—and how open collaboration across the stack is shaping what comes next.
- Welcome Back + Opening Remarks 9 Sep 2026 • 09:00-09:05 7F | Grand Ballroom II + III
Thierry Carrez
General Manager
OpenInfra Foundation
Thierry Carrez is the General Manager of the OpenInfra Foundation. A systems engineer by trade, he was involved in the inception of the OpenStack project, and still contributes to its governance and release management. With a personal interest in the intersection of sociology and technology, Thierry spoke about open innovation and open source at various conferences around the world, including OSCON, LinuxCon, and FOSDEM. He currently serves as Secretary and Director for the Open Source Initiative. He was recognized as a Python Software Foundation fellow in 2012, and previously worked as the Technical lead for Ubuntu Server at Canonical, an operational manager for the Gentoo Linux Security Team, and an IT manager in various companies.
Conference Sessions
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What Powers Frontier Intelligence
9 Sep 2026 • 09:05-09:15
7F | Grand Ballroom II + III
Models are becoming more capable, inference more efficient, and cloud native technologies are making AI easier to operate at scale. But everything starts at the infrastructure layer. Every model, inference service and AI agent ultimately depends on the compute, accelerators, networking and storage underneath it. If you want to build and run the AI stack in open source, the infrastructure layer has to be open too. This keynote explores how OpenInfra makes that vision real—turning heterogeneous hardware and scarce compute into infrastructure that can power AI at scale while providing the isolation, flexibility and control organizations need. From accelerated computing and trusted execution to sovereignty and infrastructure control, we'll look at how open infrastructure connects with cloud native and AI technologies to create a complete open source stack for frontier intelligence.
Mark Collier
Executive Director
PyTorch Foundation
Mark Collier is a longtime open-source strategist and the current General Manager, AI & Infrastructure at the Linux Foundation. He co-founded both the OpenStack project and the OpenInfra Foundation, guiding a small NASA–Rackspace collaboration into one of the most active open-source communities in history igniting a multi-billion-dollar cloud market. At the Linux Foundation he now focuses on the next wave of open technology—AI—working with companies, researchers, and developers to build a vendor-neutral stack that keeps intelligence infrastructure accessible to all. A regular keynote speaker and commentator, Mark translates deep technical shifts into clear strategic insight and for rallying diverse communities to deliver the future of computing in the open.
Conference Sessions
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Building Frontier Intelligence in the Open
8 Sep 2026 • 09:32-09:42
7F | Grand Ballroom II + III
The pace of AI innovation requires an open ecosystem where researchers, developers, model builders and hardware companies can innovate together and where breakthroughs can move quickly from experimentation to production. This keynote explores how PyTorch has become a foundation for that ecosystem, enabling intelligence to be built and optimized across a rapidly expanding landscape of models and compute. From open models to new accelerator architectures, we'll look at how an open development ecosystem expands who can build AI, how quickly they can innovate, and how that intelligence connects to the infrastructure that ultimately runs it. Huawei sponsored keynote to be included We’ll also welcome the PyTorch Foundation’s newest Platinum Member, marking a significant new investment in the open ecosystem and the future of AI hardware innovation.
Zvonko Kaiser
Principal Systems Software Engineer
NVIDIA
Zvonko Kaiser is a Principal Systems Software Engineer at NVIDIA, specializing in cloud-native confidential computing and GPU security. He serves on the Kata Containers Architecture Committee and the Confidential Containers Technical Steering Committee, and chairs the Kubernetes WG AI Integration. As the primary architect driving both projects at NVIDIA, his work hardens the cloud-native stack from silicon to service, guided by his principle: "If it's shared, it's vulnerable."
Conference Sessions
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Road from Kata Containers to Confidential Containers + GPUs: From First Commit to CNCF Incubation
9 Sep 2026 • 09:17-09:22
7F | Grand Ballroom II + III
Every road has a first step. This one began in November 2021 with a single issue filed against Kata Containers, followed shortly by a first pull request. Talk by talk and release by release, that work led to Confidential Containers becoming a CNCF incubating project with GPU workloads running inside the trust boundary. This keynote retraces the road through the milestones that shaped it: isolation through lightweight VMs, attestation that reaches from silicon to service, Kubernetes as the platform for AI/ML on private data, and confidential computing on GPUs at scale. Each stop taught a lesson. Together, they explain where the project stands today and why. The talk ends at incubation, the current end of the road, and closes with a live demo of confidential containers with GPUs.
Horace Li
Director of CNCF Asia, PyTorch Asia, OpenInfra Asia
The Linux Foundation
Horace is currently working as Director of CNCF Asia, supporting China’s cloud native ecosystem and open source projects. Horace is also the Director of OpenInfra Asia. Previously, Horace worked in the Intel Open Source Technology Center for 13 years, as a technical account manager supporting open source community projects engagement in China, including Cloud Computing, DataCenter and Client Computing. Outside of work, Horace likes jogging, swimming, music, movies, fashion and art.
Conference Sessions
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Open Source for the AI Era
8 Sep 2026 • 09:02-09:07
7F | Grand Ballroom II + III
This opening will introduce the complete open source AI stack, from models and frameworks to inference, cloud native operations, infrastructure and hardware, and set the stage for the stories that follow. Through real-world examples across both days, the audience will see how these technologies work together to build, run and scale frontier intelligence—and how open collaboration across the stack is shaping what comes next.
- Welcome Back + Opening Remarks 9 Sep 2026 • 09:00-09:05 7F | Grand Ballroom II + III
Trong Vinh Nguyen
Deputy Director
Viettel
Deputy Director at "Plarforms and Digital Transformation Center" – Viettel Networks – Viettel Group Organizer of Vietnam Open Infrastructure Community (formerly VietOpenStack) Organizer of Cloud Native Vietnam Community (including Hanoi and Ho Chi Minh chapter) Member of OpenInfra Asia Advisory Board Organized lots of OpenInfra technical meetup, OpenInfra Days in Vietnam, Cloud Native Days Vietnam
Conference Sessions
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A Cloud Native Stack from Bare Metal to Tokens for Large-Scale AI Inference
9 Sep 2026 • 10:00-10:05
7F | Grand Ballroom II + III
We didn't buy all our GPUs/AI chips at once. Years of procurement across different budget cycles left us with a fleet spanning multiple generations-from T4s that still run fine, to L40Ss, A100s, H200s, and the newer B200s-each with different memory capacities, compute profiles, and driver requirements. Managing these as isolated, team-specific bare-metal allocations meant we were sitting on underutilized assets while other teams waited in queue. This talk is about how we unified that messy reality into a single platform by layering three open-source ecosystems: OIF at the bare-metal layer, CNCF tooling for GPU pooling and multi-tenant slicing, and PyTorch Foundation projects for serving optimization. The result is a Token-as-a-Service platform that treats every GPU in the fleet (old or new) as a productive contributor. We'll share what it took to get there, what we're still figuring out, and where we see this going as model complexity and multi-agent workloads continue to grow.
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Escaping the Vendor Trap: A Journey for Migrating Legacy Infrastructure to OpenStack and K8s
9 Sep 2026 • 11:00-11:30
7F | Grand Ballroom II + III
In 2018, most of IT and Telco infras of Viettel (largest telco in Vietnam) run on VMware or legacy on-premise solutions. The utilization of physical infra was low, need hundreds of people to operate all the infras, MTTR was nightmare, depends on support tickets from vendors… Recently, VMWare licenses price went high. That's why we have to migrate our infras to open source tech stacks and solutions. OpenStak, Ceph, Kubernetes, Prometheus… are our choices. By the end of 2025, over 80% of our massive infra had been migrated to open source Cloud and Cloud Native solutions. This talk will be about how we choose the starting point, how we move from here to there, and the way we achieve the current state, how we collaborated with open source community in Vietnam and Asia.
Teng Su
Chief AI Framework Technical Expert
Huawei
Teng Su is the Chief Expert of Huawei's AI Framework Technology Team, specializing in large-scale Ascend cluster training infrastructure. With extensive experience conducting LLM training experiments across tens of thousands of Ascend NPUs, he is currently leading the development of HyperParallel—a parallel acceleration library designed for Ascend SuperPoDs.
Conference Sessions
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HyperParallel: A SuperPoD-Aware Distributed Acceleration Library
9 Sep 2026 • 09:24-09:29
7F | Grand Ballroom II + III
HyperParallel is a PyTorch-based distributed acceleration library optimized for Ascend SuperPoD. This demonstration is conducted on a Huawei Atlas 800T cluster using a Qwen3-30B-A3B training workload. Under identical configurations, HyperParallel FSDP2 + Muon delivers substantially higher training throughput than PyTorch FSDP2 + Muon while maintaining consistent loss convergence. The live demonstration presents the complete distributed model training workflow and dynamically visualizes training throughput and loss convergence curves, providing an intuitive illustration of HyperParallel’s acceleration capabilities for large-model training.
Xu Wang
Vice Chair, Open Source Technology Committee
Ant Group
Xu Wang is the vice chair of the Ant Group Open Source Technology Committee and also the head of the Container Infrastructure team. Xu joined Ant Group in 2019, and currently he is responsible for the development of the container-based Cloud-Native infrastructure and the open-source related strategies of Ant Group. Before joining Ant Group, Xu was the CTO and co-founder of hyper.sh, a startup on secure container runtime technology, and co-launched Kata Containers project in 2017.
Conference Sessions
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Building an Agent Runtime with Open Infrastructure
8 Sep 2026 • 10:20-10:25
7F | Grand Ballroom II + III
An agent runtime has to create a working environment on demand, isolate code the platform may not trust, and release resources when the task ends. Much of this machinery already exists across cloud native and open infrastructure projects. This keynote follows one agent task through an open-source runtime stack. Kubernetes Agent Sandbox manages its lifecycle, while Kata Containers provides a dedicated guest-kernel boundary. The rest of the chain handles container execution and efficient delivery of images and model artifacts. Seen together, these projects offer a practical foundation for secure, short-lived agent workloads and a shared path for the ecosystem to improve it.
Yaya Xia
Open Source Analyst
Ant Group
Xiaoya Xia is a member of the Ant Group OSPO, where she focuses on catalyzing open source success through data-driven insights. Before joining Ant Group, Xiaoya was a PhD at East China Normal University (ECNU), where she concentrated on research into open source ecosystem sustainability.
Conference Sessions
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What AI Agents Need from Open Infrastructure
8 Sep 2026 • 10:13-10:18
7F | Grand Ballroom II + III
AI agents create a demanding kind of workload. They generate and run code, interact with external systems, and often need an isolated execution environment for only a few minutes. The cloud native and open infrastructure communities have spent years building the foundations this workload now needs. This keynote examines how those existing capabilities can be assembled into an agent runtime, supported by new ecosystem evidence from CNCF and OpenInfra. The idea becomes concrete through an open-source runtime stack. Kubernetes Agent Sandbox manages the sandbox lifecycle, while Kata Containers provides workload isolation, with other cloud native components supporting execution and resource delivery. Together, these existing technologies form an agent runtime designed for the needs of agentic AI.
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Building an Agent Runtime with Open Infrastructure
8 Sep 2026 • 10:20-10:25
7F | Grand Ballroom II + III
An agent runtime has to create a working environment on demand, isolate code the platform may not trust, and release resources when the task ends. Much of this machinery already exists across cloud native and open infrastructure projects. This keynote follows one agent task through an open-source runtime stack. Kubernetes Agent Sandbox manages its lifecycle, while Kata Containers provides a dedicated guest-kernel boundary. The rest of the chain handles container execution and efficient delivery of images and model artifacts. Seen together, these projects offer a practical foundation for secure, short-lived agent workloads and a shared path for the ecosystem to improve it.
Di Xu
CNCF Ambassador | KubeCon Co-Chair
Xiaohongshu
Currently, Di Xu serves as a Tech Lead at Xiaohongshu, focusing on building reliable and scalable infrastructure for cloud native, AI, and agent applications. He is a long-time Kubernetes contributor and cloud native community leader. He is also a CNCF Ambassador and has served as a track chair for multiple KubeCon + CloudNativeCon events.
Conference Sessions
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From Containers to Agents: The Next Cloud Native
8 Sep 2026 • 10:06-10:11
7F | Grand Ballroom II + III
Every major computing shift creates a new unit of work. Virtual machines gave us infrastructure automation. Containers gave us portable applications. Kubernetes gave us a control plane for distributed systems. Agents may become the next unit of work. An agent is not just an LLM call. It has identity, memory, goals, tools, permissions, execution state, and the ability to affect the outside world. It can fail in ways that traditional software does not: by taking the wrong action, using the wrong tool, leaking context, exceeding its authority, or behaving differently as its models and environment evolve. The industry is rapidly building agent demos. The harder problem is operating agents in production. This keynote proposes a cloud native view of agent infrastructure: agents as first-class workloads with declarative configuration, policy-driven tool access, observable decision paths, isolated execution, durable state, continuous evaluation, and human-in-the-loop controls. Rather than treating agent infrastructure as a proprietary layer above Kubernetes, we have an opportunity to apply the lessons of cloud native computing—open interfaces, reconciliation loops, composable primitives, and policy as code—to make autonomous systems safer and more portable. The question is no longer whether agents will run in production. The question is whether we will build the infrastructure needed to trust them there.
Zesheng Zong
AI Framework Engineer
Huawei
Zesheng Zong is an AI framework engineer at Huawei. As a PyTorch Ambassador and Co-chair of the PyTorch TAC Accelerator Integration WG, he focuses on accelerator integration and optimization for the PyTorch ecosystem. He promotes global community collaboration, advances framework adaptation for AI accelerators, and helps grow the PyTorch developer community.
Conference Sessions
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Build a Unified Heterogeneous AI Computing Ecosystem for PyTorch
9 Sep 2026 • 09:31-09:36
7F | Grand Ballroom II + III
AI computing hardware faces severe heterogeneity challenges with high adaptation costs and lack of unified standards. Co-chaired by Huawei and Intel, PyTorch TAC Accelerator Integration WG delivers standardized hardware onboarding guidelines, cross-repo CI testing mechanism, generalized device-aware test suites and platform incubation workflows. This keynote shares our completed achievements and future roadmap including refined device-agnostic APIs and expanded multi-backend test matrix. We invite all hardware vendors and developers to co-build an open, efficient heterogeneous computing ecosystem for PyTorch.
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Meet the Community Behind the Open Source AI Stack
9 Sep 2026 • 09:45-09:53
7F | Grand Ballroom II + III
No single project, company, or community builds the AI stack alone. Behind the models, frameworks, cloud native technologies, and infrastructure powering AI is a global open source community working across every layer. This session brings together contributors from across the stack to share how collaboration between projects and communities turns individual technologies into an open, interoperable AI ecosystem—and why that collaboration matters even more as AI evolves.
