PyTorch Conference Europe 2026: Full Schedule

7-8 April, 2025
Paris, France
View More Details & Registration
Note: The schedule is subject to change.

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This schedule is automatically displayed in CEST (UTC/GMT +2). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date."

07:30 CEST

Community Expo

Tuesday April 7, 2026 07:30 - 18:35 CEST

Open Platform

Tuesday April 7, 2026 07:30 - 18:35 CEST
Open Platform

Breaks/Exhibits/Special Events

10:30 CEST

Birds of A Feather: Engineering for the EU AI Act: What Should PyTorch Expose Natively? - Roy Saurabh, AffectLog

Tuesday April 7, 2026 10:30 - 11:00 CEST

Open Platform

The EU AI Act introduces concrete technical obligations for ML systems: traceability, risk management, monitoring, and auditability. Today, most of this burden is handled outside the ML framework—through ad-hoc tooling, documentation, or bespoke infrastructure.

This Birds of a Feather session is an open, practitioner-driven discussion on a forward-looking question:
What primitives, hooks, or abstractions should PyTorch expose natively to better support AI accountability and regulatory readiness?

Topics for discussion may include:
- Native support for provenance, lineage, and training/inference traces
- Standardized hooks for fairness, robustness, and drift monitoring
- Model and dataset metadata as first-class PyTorch objects
- Privacy-preserving logging and zero-retention execution patterns

Gaps between regulatory requirements (e.g. EU AI Act) and current ML frameworks
The goal is not consensus, but shared understanding and concrete ideas that can inform community practices, tooling, and potential upstream contributions. This BoF is intended for PyTorch users, maintainers, researchers, and infra engineers interested in the future of responsible, production-grade ML.

Speakers

Roy Saurabh

Président, AffectLog

Roy Saurabh is Founder & CEO of AffectLog and an applied researcher in AI governance, privacy engineering, and accountable ML systems. He has worked with UNESCO, the European Commission, and national governments on operationalising trustworthy AI, and leads EU-funded projects focused... Read More →

Tuesday April 7, 2026 10:30 - 11:00 CEST
Open Platform

Birds of A Feather

Audience Level Any

10:30 CEST

Coffee Break

Tuesday April 7, 2026 10:30 - 11:00 CEST

Open Platform

Menu:
-Apple and pecan nut cake (Vegan, Vegetarian)
-Granola bar (Gluten Free, Vegetarian)
-Seasonal fruits (Vegan, GF, Vegetarian)
-Egg sandwich (Vegetarian)
-Dry fruits and dry grapes mix (Vegan, GF, Vegetarian)

Tuesday April 7, 2026 10:30 - 11:00 CEST
Open Platform

Breaks/Exhibits/Special Events

10:30 CEST

Meet the Developers of PyTorch Module Maintainers

Tuesday April 7, 2026 10:30 - 11:00 CEST

Open Platform

These sessions give participants an opportunity to meet some of the developers leading PyTorch to foster collaboration, gather feedback, and inspire contributions and collaboration .

PyTorch core modules (e.g. torch.autograd, torch.optim, torch.nn) form the foundation for most AI research and development, either directly through PyTorch or indirectly via higher-level framework. The core libraries prioritize API stability, backward compatibility, modular design, and simplicity.

Speakers

Edward Yang

Research Engineer, Meta

Edward Yang has worked on PyTorch at Meta since nearly the very beginning. Currently, he works on all aspects of PT2, but with a particular focus on dynamic shapes support across the stack.

Alban Desmaison

Research Engineer, Meta

Driss Guessous

Machine Learning Engineer, Meta

I am currently a machine learning engineer working on core development of PyTorch. I received my Masters in Computer Science from the University of Illinois at Urbana-Champaign. I received a dual degree in Physics and Applied Mathematics from The Ohio State University. I also won... Read More →

Mergen Nachin

Software Engineer, Meta

Mergen Nachin is a Software Engineer specializing in creating rich AI experiences on low latency, high performance, and privacy-aware embedded systems. With a background in distributed systems, developer infrastructure, remote sensing, and localization, he brings a versatile skill... Read More →

Natalia Gimelshein

Software Engineer, Meta

Natalia Gimelshein is a software engineer at Meta. She is one of the pytorch leads, and works on GPU performance and support, including low precision, distributed and symmetric memory.

Jason Ansel

Research Scientist, Meta

Jason Ansel is a Research Scientist at Meta AI and a technical lead for PyTorch compilers. He started the TorchDynamo and TorchInductor projects, which bring flexible graph capture and a high performance compiler to PyTorch 2. He received a Ph.D. from MIT and has over 15 years of... Read More →

Tuesday April 7, 2026 10:30 - 11:00 CEST
Open Platform

Meet the Developers

Audience Level Any

12:25 CEST

Attendee Lunch

Tuesday April 7, 2026 12:25 - 13:55 CEST

Open Platform

Menu | Boxed Lunches:

Vegan: (Vegetarian)
-Marocaintaboule
-Indian vegetable wrap with sesame oil and tandoori spices
-Chocolate Chip Cookie

Gluten-Free:
-Bowl Niçoise salad (350 g)
-Potatoes, green beans, cherry tomatoes, tuna, black olives, iceberg lettuce,eggs, chopped red onions
-Chocolate cookie

Classic:
-Bird's tongue pasta salad with baby vegetables (Vegetarian)
Round baguette sandwich with sliced chicken and avocado
Or
Tuna mimosa burger with red onions and baby spinach
Or
Semolina burger, tzatziki, falafel (Vegetarian)
Chocolate and hazelnut muffin (Vegetarian)

Tuesday April 7, 2026 12:25 - 13:55 CEST
Open Platform

Breaks/Exhibits/Special Events

15:10 CEST

Coffee Break

Tuesday April 7, 2026 15:10 - 15:40 CEST

Open Platform

Menu:
-Chocolate cake
-Red frutis yogurt (and its wooden spoon) (Gluten Free, Vegetarian)
-Seasonal fruits (GF, Vegan)
-Hummus and vegetable brioche roll
-Dry fruits and dry grapes mix
-Chocolate Cookie (GF, Vegan)

Tuesday April 7, 2026 15:10 - 15:40 CEST
Open Platform

Breaks/Exhibits/Special Events

15:10 CEST

Meet the Developers of Helion

Tuesday April 7, 2026 15:10 - 15:40 CEST

Open Platform

This session offers a unique opportunity to connect with the core developers of Helion (https://github.com/pytorch/helion)—ask questions, share feedback, and explore collaboration opportunities with the team.

About Helion
At PTC 2025, we launched Helion (in Beta), a PyTorch-native kernel authoring DSL designed to deliver portable performance across heterogeneous hardware. Since then, Helion has outperformed expert-tuned Triton and CuTe DSL kernels and seen meaningful adoption across research labs, production teams, and OSS frameworks like vLLM.

At PyTorch Conference Europe 2026, we are excited to announce Helion 1.0 (General Availability). Join us to learn how Helion works under the hood and discover what's new in the GA release.

Core Developers
Jason Ansel: Research Scientist, creator of PyTorch Compiler and Helion
Oguz Ulgen: Software Engineer, creator of PyTorch Compiler cache, working on Helion
Will Feng: Software Engineer working on TorchInductor and Helion
Markus Hoehnerbach: Software Engineer focusing on Helion development and kernel authoring

Drop in for an informal discussion, share your experiences, and explore opportunities to collaborate with the team!

Speakers

Will Feng

Software Engineer, Meta

Will Feng is a Software Engineer in PyTorch Compiler team at Meta. He has been working in PyTorch core and ecosystem for the past 7 years. He is now working on and most excited about torch.compile for distributed training performance.

Oguz Ulgen

Software Engineer, Meta

I'm a software engineer at Meta where I used to work on the Hack programming language and now work on PyTorch.

Jason Ansel

Research Scientist, Meta

Markus Hoehnerbach

17:05 CEST

Flare Party

Tuesday April 7, 2026 17:05 - 18:30 CEST

Open Platform

Wrap up Day 1 of PyTorch Conference Europe 2026 at our official Flare Party. It’s the perfect opportunity to unwind, network, and keep the day’s momentum going.

Enjoy complimentary beer, wine, and appetizers as you connect with speakers, core contributors, and fellow developers. Throughout the evening, explore the Poster Sessions, where presenters will be available for live Q&A to spark deeper technical conversations. Be sure to also visit our sponsor booths to discover new tools and pick up conference swag.

Join us to recharge and celebrate with the PyTorch community!

Menu:
THE COLD PIECES
-Cheese cone: comté and osso iraty, salad, grapes, and nuts (Gluten Free, Vegetarian)
-Sausage cone
-Vegetable chips cone (Vegan, Vegetarian)
-Bretzel bread (Vegan, Vegetarian)

THE HOT PIECES
-Parmesan cream and artichoke brioche tart with arugula (Vegetarian)
-Watercress brioche tart (Vegetarian)
-Green frittata with olives (Gluten Free, Vegetarian)
-Flammen truffle (Vegetarian)
-Red lentil, ginger, and coconut milk soup (Vegan, Vegetarian)

Wine, Beer, Soft Drinks

Tuesday April 7, 2026 17:05 - 18:30 CEST
Open Platform

Breaks/Exhibits/Special Events

17:05 CEST

Poster Presentations: Applications & Case Studies

Tuesday April 7, 2026 17:05 - 18:35 CEST

Open Platform

LegoLoaderX: a PyTorch DataLoader for Sparse Spatio-Temporal Data - Michelle Audirac, Harvard University
Stress State Estimation from Deformed Surface Images Using Deep Learning - Bakhtiyar Mammadli, NOMATEN Centre of Excellence, National Centre for Nuclear Research

Speakers

Michelle Audirac

Senior Data Scientist, Harvard University

Bakhtiyar Mammadli

PhD Student, NOMATEN Centre of Excellence, National Centre for Nuclear Research

Bakhtiyar Mammadli is a PhD student in Mechanical Engineering at the NOMATEN Centre of Excellence (NCBJ, Poland). His research focuses on applying machine learning to experimental mechanics, particularly unsupervised methods for analyzing strain fields from Digital Image Correlation... Read More →

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform

Poster Presentations, Applications & Case Studies

17:05 CEST

Poster Presentations: Frameworks & Compilers

Tuesday April 7, 2026 17:05 - 18:35 CEST

Open Platform

Automatic Comm-Compute Overlap and Bucketing in torch.compile - Elias Ellison & Ivan Kobzarev, Meta
Flexible Custom Operators: custom ops with arbitrary inputs and outputs - Angela Yi & Richard Zou, Meta
How Your Code Becomes a Kernel - Harshita Varma, Juspay; Nikita Verma, Individual
TorchCodec: The Easy and Efficient Media Decoding Library for PyTorch - Daniel Flores & Molly Xu, Meta
TorchDynamo Debugging Tools for Power Users - William Wen, Meta
Accelerating GNN Workloads on ARM CPUs with PyTorch Geometric - Akash Agrawal, Fujitsu Research of India; Co-Authors: N Maajid Khan & Devang Choudhary, Fujitsu Research of India
Reaching SOTA Normalization Performance with torch.compile - Paul Zhang & Shunting Zhang, Meta

Speakers

Angela Yi

Software Engineer, Meta

Angela has been on the PyTorch Compiler team for the past 3 years, working on torch.export and AOTInductor.

Richard Zou

Software Engineer, Meta

I work on PyTorch.

William Wen

Software Engineer, Meta

William works on the torch.compile team, specializing in TorchDynamo.

Nikita Verma

cloud native developer, Indian Institute of Technology bhubaneswar

Nikita Verma is an active contributor to the open-source community with a strong focus on Kubernetes and cloud-native technologies. She worked on developing forest growth simulations, automating configuration generation, and integrating CI/CD workflows. Nikita has volunteered at KubeCon... Read More →

Harshita Varma

Product Manager, Juspay

Harshita Varma is a contributor to the Kubernetes project, actively involved in the SIG Contributor Experience community, with a focus on enhancing the contributor journey. She began her open-source journey by contributing to the Thanos project, sparking her passion for open source... Read More →

Daniel Flores

Software Engineer, Meta

Daniel is a software Engineer at Meta working on Torchcodec. Previously, Daniel studied computer science at Brown University.

Ivan Kobzarev

Software Engineer, Meta

Elias Ellison

Software Engineer, Meta

Elias has been working on the PyTorch team for four years, most recently on the torch.compile stack

Paul Zhang

Software Engineer, Meta

Paul Zhang is currently a software engineer working on PyTorch and Triton at Meta, ensuring that PyTorch and PT2 best utilizes the hardware it is run on. Previous to this, Paul has done extensive work on recommendation systems for training and inference, optimizing performance and... Read More →

Molly Xu

Software Engineer, Meta

Akash Agrawal

Software Engineer - II, Fujitsu Research of India Private Limited

Akash is a Software Engineer in Fujitsu Research of India, working actively on AI Framework Software Stack Optimization and Open-Source Software developments for FUJITSU-MONAKA – a 2 nanometer Armv9-A architecture-based CPU, for handling AI/HPC workloads and energy efficient co... Read More →

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform

Poster Presentations, Frameworks & Compilers

17:05 CEST

Poster Presentations: GenAI & Multimodal

Tuesday April 7, 2026 17:05 - 18:35 CEST

Open Platform

Unifying Modalities: Building Efficient Video Flows with PyTorch and Diffusion Transformers - David Brewster, Red Hat

Speakers

David Brewster

Principal Software Engineer, Red Hat

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform

Poster Presentations, GenAI & Multimodal

17:05 CEST

Poster Presentations: Inference & Production

Tuesday April 7, 2026 17:05 - 18:35 CEST

Open Platform

A Tale of Two DSLs: A Comparative Study of vLLM GPU Performance with cuTile and CuTe DSL - Anil Vishnoi & Matthew Odden, Red Hat
Bringing BitNet to ExecuTorch via Vulkan - Marcus Edel & Vineet Suryan, Collabora
Building Production-Grade PyTorch Inference Pipelines for 100K+ Heterogenous Devices - Samaresh Kumar Singh, HP Inc.
Feather: Software Emulated FP8 for Older GPUs - Suriyaa MM, Indian Institute of Technology Tirupati
Model Compression API for a fast and precise inference in ExecuTorch - Daniil Liakhov & Aamir Nazir, Intel
Near-Lossless MXFP4 Compression for Accelerated LLM Serving: Jointly Tuning Distribution Transforms - Felix Marty, AMD
Recursive Language Models (RLMs): Scaling to Infinite Context via Programmatic Decomposition - Rudraksh Karpe, Simplismart, Shivay Lamba, Qualcomm
When CPUs Win: Profiling Small Neural Network Inference Through PyTorch's Compiler and Runtime Stack - Dave Grove & Olivier Tardieu, IBM; Co-Authors: Vivek Mankar, Nethra Khandige, Pradipta Ghosh, & Anto Ajay Raj John, IBM

Speakers

Dave Grove

Distinguished Research Scientist, IBM

David Grove is a Distinguished Research Scientist at IBM T.J. Watson, NY, USA. He has been a software systems researcher at IBM since 1998, specializing in programming language implementation and scalable runtime systems. He has authored more than sixty peer-reviewed publications... Read More →

Olivier Tardieu

Principal Research Scientist, Manager, IBM

Dr. Olivier Tardieu is a Principal Research Scientist and Manager at IBM T.J. Watson, NY, USA. He joined IBM Research in 2007. His current research focuses on cloud-related technologies, including Serverless Computing and Kubernetes, as well as their application to Machine Learning... Read More →

Shivay Lamba

Senior ML Engineer, Qualcomm

Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development.

He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and is currently a MLH Fellow. He has also worked at organizations like Amazon, EY, Genpact. He is a Tensorflow.JS SIG member and community lead from In... Read More →

Marcus Edel

Machine Learning Lead, Collabora

Marcus Edel is the the machine-learning lead at Collabora, where he leads the effort to optimise and apply deep networks for inference, with a focus on embedded devices. Marcus completed his graduate studies in 2020 with a focus on fast algorithms for core machine learning tasks applied... Read More →

Anil Vishnoi

Principal Software Engineer, RedHat Inc

Anil has been doing research, design and development of software networking products for more than 15 years at RedHat and his prior employers. Most of his career he has been working in Software Defined Networks, Data Center Networking, Network Virtualization and Cloud Networking domain... Read More →

Rudraksh Karpe

Forward Deployed Engineer, Simplismart

Rudraksh is FDE at Simplismart, where he builds solutions focused on high-performance AI inference. He previously worked as an AI Engineer at ZS Associates. He was a two-time Google Summer of Code participant with the openSUSE Project and

He has presented internationally at events including OpenSearch Korea, openSUSE Conference, Early Adopter Tech Summit, PyCon US, PyCon Japan, and openSUSE Asia Summit, focusing on GenAI, open source, and cloud-native technologies... Read More →

Samaresh Kumar Singh

Principal Engineer, HP Inc.

Samaresh Kumar Singh is an engineering principal at HP Inc. with more than 21 years of experience in designing and implementing large-scale distributed systems, cloud native platform systems, and edge AI / ML systems. His expertise includes agentic AI systems, GenAI / LLMs, Edge AI... Read More →

Suriyaa MM

Student, Indian Institute of Technology Tirupati

Daniil Lyakhov

AI Research Engineer/Scientist, Intel corporation

Felix Marty

Senior Software Engineer, AMD

Felix Marty is a software engineer specialized in deep learning model compression, working on AMD Quark open-source model compression toolkit, and contributing to algorithms, evaluations, hardware deployment and open-source integrations. Prior to AMD, he used to work at Hugging Face... Read More →

Vineet Suryan

Senior Software Engineer, Collabora

Aamir Nazir

Research Engineer, Intel

Mathew Odden

Principle Software Engineer, Red Hat

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform

Poster Presentations, Inference & Production

17:05 CEST

Poster Presentations: Responsible AI & Compliance

Tuesday April 7, 2026 17:05 - 18:35 CEST

Open Platform

When Models Collaborate but Data Cannot: Explainable Ensemble Learning Under Privacy Constraints - Pavani Rajula, NeuCorelytix Solutions LLP

Speakers

Pavani Rajula

AI Developer, NeuCorelytix Solutions LLP

I’m Pavani Rajula, a Data Science and AI Developer working with Data Migration International AG, currently working remotely from India. I have nearly six years of experience in data engineering, machine learning and artificial intelligence, including two years of professional experience... Read More →

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform

Poster Presentations, Responsible AI & Compliance

08:00 CEST

Community Expo

Wednesday April 8, 2026 08:00 - 15:40 CEST

Open Platform

Wednesday April 8, 2026 08:00 - 15:40 CEST
Open Platform

Breaks/Exhibits/Special Events

10:05 CEST

Birds of A Feather: Disaggregated Tokenization: Building Toward Tokens-In-Tokens-Out LLM Inference - Maroon Ayoub, IBM Research; Hang Yin & Xi Ning Wang, Alibaba Cloud; Nili Guy, IBM; Hyunkyun Moon, Moreh

Wednesday April 8, 2026 10:05 - 10:35 CEST

Open Platform

LLMs are token-in, token-out - but our serving stacks aren't. Tokenization and preprocessing are still locked inside the inference engine, blocking the cache-aware routing and encode/prefill/decode (E/P/D) disaggregation that production deployments demand. To route smart, you need tokens before you reach the backend - and with multi-modal inputs requiring heavy encode-stage preprocessing, this is an architectural imperative, not just an optimization.

In llm-d, we learned this the hard way: three tokenization approaches, three gaps. We're now converging on disaggregated tokenization via vLLM's Renderer API as a gRPC sidecar, and collaborating with the Gateway API Inference Extension community to define the tokens-in-tokens-out interface. For multi-modal workloads, disaggregating preprocessing unlocks independent scaling of encode, prefill, and decode - each with different compute profiles.

Join us to discuss: How should we standardize tokenization and multi-modal preprocessing outside the engine? How does this shape E/P/D disaggregation? What are your pain points? We'll frame the problem from scheduling, vLLM, and gateway perspectives - then open the floor.

Speakers

Xi Ning Wang

Senior Technical Expert, Alibaba Cloud

Wang Xining, senior technical expert of Alibaba Cloud, focusing on MaaS/LLM, Kubernetes, service mesh and other advanced cloud native technical strategies. Previously worked in the IBM as tech architect focusing on SOA/Cloud and served as the chairman of the Patent Technology Review... Read More →

Hang Yin

Senior R&D Engineer, Alibaba Cloud

Hang Yin, senior engineer of Alibaba Cloud, focusing on Kubernetes, service mesh, Gateway API Inference Extension and other cloud native fields. Currently served in the Alibaba Cloud Container Service for Kubernetes (ACK) team, responsible for the developing of ACK Gateway with Inference... Read More →

Maroon Ayoub

Research Scientist & Architect, IBM Research

Maroon Ayoub is a systems engineer at IBM Research focused on distributed AI infrastructure. He co-leads development of llm-d and specializes in scaling LLM inference with Kubernetes-native architectures, performance efficiency, and open source integrations.

Nili Guy

IBM Research, IBM

Nili is a Research Manager and Senior Technical Staff Member at IBM Research, co-creator of llm-d, and an expert in distributed inference and Kubernetes-native AI systems. She has led key open-source and productized inference initiatives across IBM’s AI platforms.

hyunkyun moon

MLOps Engineer, Moreh

Hyunkyun Moon is an ML Platform Engineer at Moreh, focusing on building high-performance LLM inference platforms with llm-d. He is an active contributor to open-source projects, including llm-d and vLLM. With a strong background in large-scale Kubernetes-native infrastructure, he... Read More →

Wednesday April 8, 2026 10:05 - 10:35 CEST
Open Platform

Birds of A Feather

Audience Level Beginner

10:05 CEST

Coffee Break

Wednesday April 8, 2026 10:05 - 10:35 CEST

Open Platform

Menu:
-Brioche
-Granola bar (Gluten Free, Vegan)
-Seasonal fruits (Gluten Free, Vegan)
-Roasted pumpkin cake
-Dry fruits and dry grapes mix (Gluten Free, Vegan)

Wednesday April 8, 2026 10:05 - 10:35 CEST
Open Platform

Breaks/Exhibits/Special Events

10:05 CEST

Meet the vLLM Maintainers

Wednesday April 8, 2026 10:05 - 10:35 CEST

Open Platform

Meet the core maintainers of vLLM at this session! Come and discuss use cases, features, roadmap with us, or just learn how the vLLM development happens under the hood.

Speakers

Tyler Michael Smith

Chief Architect - Inference Engineering, Red Hat

Tyler received a PhD in Computer Science at The University of Texas at Austin, studying high performance dense linear algebra - microkernels, parallelism, and theoretical lower bounds on data movement.. After a postdoc at ETH Zürich, he joined Neural Magic, first working on a graph... Read More →

Nicolò Lucchesi

Senior Machine Learning Engineer, Red Hat

Nicolò is a Senior Machine Learning Engineer at Red Hat with a background in Deep Learning and Computer Vision. He works on Inference Optimization for vLLM, where he is a maintainer.

Wednesday April 8, 2026 10:05 - 10:35 CEST
Open Platform

Meet the Developers

Audience Level Any

10:25 CEST

Sponsor Activity - Validating AI on CPUs: The vLLM 3-Phase Evaluation Framework

Wednesday April 8, 2026 10:25 - 10:40 CEST

Open Platform

Stop guessing your hardware capabilities. This automated test engine benchmarks vLLM on CPUs through controlled, realistic, and production phases, delivering precise metrics on throughput, latency, and optimal KV cache sizing. Join us for a demo!

Sponsor: Red Hat
Location: Red Hat within the Community Showcase

In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.

Wednesday April 8, 2026 10:25 - 10:40 CEST
Open Platform

Breaks/Exhibits/Special Events

12:00 CEST

Attendee Lunch

Wednesday April 8, 2026 12:00 - 13:30 CEST

Open Platform

Menu | Boxed Lunch

Vegan: (Vegetarian)
-Organic green lentils from Beauce, lentil hummus, and red cabbage pickles
-Chocolate cookie

Gluten-Free: (Vegetarian)
-Organic Beauce quinoa with dried fruit, coconut yogurt with herbs
-Yogurt to drink

Classic:
Bulgur wheat and red lentil salad (Vegetarian)
Cereal bread, poached salmon, and vegetables
Or
Pastrami burger with vegetable caviar and tomato sauce
Or
Round baguette with artichoke tapenade, arugula, tomato, and Parmesan cheese (Vegetarian)
Brownie (Vegetarian)

Wednesday April 8, 2026 12:00 - 13:30 CEST
Open Platform

Breaks/Exhibits/Special Events

13:00 CEST

Sponsor Activity - Lobster Trap: OpenClaw in Containers

Wednesday April 8, 2026 13:00 - 13:10 CEST

Open Platform

In this demo, we containerize OpenClaw with Docker/Podman, wire up HashiCorp Vault so secrets work identically on a laptop and in a cluster, and then deploy to K8s. With containers, one teammate's carefully built agent becomes a deployable team standard.

Sponsor: Red Hat
Location: Red Hat within the Community Showcase

In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.

Wednesday April 8, 2026 13:00 - 13:10 CEST
Open Platform

Breaks/Exhibits/Special Events

14:55 CEST

Birds of A Feather: NCCL in the Wild: Scaling Communications To Thousands of GPUs - Jeff Hammond, Gabrielle Talavera, Ke Wen & Asma Farjallah, NVIDIA

Wednesday April 8, 2026 14:55 - 15:20 CEST

Open Platform

We will share the latest updates to NCCL and how they can be used in PyTorch. We invite the community to share their feedback on challenges using NCCL at scale and ways to improve integration of NCCL with PyTorch applications.

Some of the important topics for community discussion include:
- Symmetric memory support and GPU-initiated networking.
- Copy-engine collectives and maximizing overlap of communication and computation for better end-to-end performance.
- Profiling, debugging and tuning, as well as resilience (handling failed nodes without a restart).

Speakers

Asma Farjallah

AI DevTech, NVIDIA

Asma Farjallah is an AI Developer Technology Engineer at NVIDIA. Prior to her role as DevTech, she was part of the Solution Architect team at NVIDIA for 5 years and was part of the global energy team. Before joining NVIDIA, Asma worked for Intel for 4 years as an Application Engineer... Read More →

Gabrielle US

Product Manager, NVIDIA

Gabrielle Talavera is the Product Manager for NCCL at NVIDIA, focused on shaping the product roadmap and improving the experience of teams building on GPU‑accelerated software. She joined NVIDIA in 2021 as a Solutions Architect, helping customers adopt NVIDIA software and debug... Read More →

Jeff Hammond

Distinguished Engineer, NVIDIA Helsinki Oy

Jeff Hammond is a Distinguished Engineer in the NCCL team at NVIDIA focused on user education and research outreach. His background is in parallel application and algorithm development, open-source software, and supercomputing architecture. Jeff has made significant contributions... Read More →

Ke Wen

Principal Software Architect, NVIDIA

Ke Wen works on distributed features, including Symmetric Memory, multi-GPU kernels, Expert Parallelism, inference, pipelining and graph analysis.

Wednesday April 8, 2026 14:55 - 15:20 CEST
Open Platform

Birds of A Feather

Audience Level Advanced

14:55 CEST

Coffee Break

Wednesday April 8, 2026 14:55 - 15:25 CEST

Open Platform

Menu:
-Lemon cake
-Caramelized arlette
-Seasonal fruits (GF, Vegan)
-Roasted pumpkin cake
-Dry fruits and dry grapes mix (GF, Vegan)
-Chocolate Cookie (GF, Vegan)

Wednesday April 8, 2026 14:55 - 15:25 CEST
Open Platform

Breaks/Exhibits/Special Events

14:55 CEST

Meet the Ray Maintainers

Wednesday April 8, 2026 14:55 - 15:25 CEST

Open Platform

Meet the core maintainers of Ray at this session! Come and discuss use cases, features, roadmap with us, or just learn how the Ray development happens under the hood.

Speakers

Artur Niederfahrenhorst

Member of Technical Staff, Anyscale

Artur is a member of the technical staff at Anyscale, the company that recently donated Ray to the Linux Foundation. He has been contributing to Ray since early 2022, where his main contributions have been in distributed reinforcement learning. Artur majored in Computer Science at... Read More →

Wednesday April 8, 2026 14:55 - 15:25 CEST
Open Platform

Meet the Developers

Audience Level Any

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