Name: Poster Presentations: Inference & Production
Start: 2026-04-07T17:05:00+0200
End: 2026-04-07T18:35:00+0200

7-8 April, 2025
Paris, France
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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 →

Poster Presentations, Inference & Production

PyTorch Conference Europe 2026

Dave Grove

Olivier Tardieu

Shivay Lamba

Marcus Edel

Anil Vishnoi

Rudraksh Karpe

Samaresh Kumar Singh

Suriyaa MM

Daniil Lyakhov

Felix Marty

Vineet Suryan

Aamir Nazir

Mathew Odden

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