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New in 2026: Call for Industry Track Submissions

MLSys’26 Industry Track invites submissions that describe the design and implementation of real-world systems in industry that align with the topics in the MLSys Call for Papers. This includes, but is not limited to, large systems for ML and incorporating ML into real-world systems. We welcome submissions that challenge or reinforce existing solutions, provide deeper insights into known problems, or rigorously validate published techniques in a real-world setting.

Qualification for Industry Track Papers

  • The first and most of the authors must be from industry
  • Submissions must describe one or more of the following:
    1. Retrospective evaluation of a real system
    2. Planned or upcoming system on a product / deployment roadmap
    3. Canceled system that offers valuable insights or lessons learned
  • Papers should focus on one or more of the following:
    1. Design methodology
    2. Detailed benchmarking at scale and/or in a production environment
    3. Insights from real-world implementations
  • No requirement on whether the system operates on or produces proprietary data
  • No requirement for novelty or new methods
  • Papers should NOT describe speculative, small or exploratory projects (e.g., internship projects) without a real system

Please note that submission and anonymization rules differ for papers submitted to the industrial track. As with other submissions, author names must be withheld. However, unlike the research track, authors are not required to anonymize the content of their submission beyond this; company names, product names, URLs, and other identifying details may be included as appropriate to the work. Industry Track papers follow the same formatting rules and page limit as submissions to the research track.

Authors can submit their papers to either track (i.e., research or industrial); however, authors CANNOT switch tracks after the submission deadline since the submission rules differ. MLSys 2026 Industry Track will not consider submissions that are submitted to multiple tracks or are under review elsewhere. Research track submissions are reviewed based on a combination of novelty, quality, and impact, while industry track submissions are evaluated based on the impact, technical quality, clarity, lessons and experiences from building real-world systems and their influence on the MLSys community.

Example Papers

Examples of recent papers that would be a great fit for the Industry Track. 

Disclaimer: The papers listed here are only illustrative examples of the type of work that would fit the Industry Track. This list is not exhaustive, and omission of a paper does not imply that it is unsuitable for the track. Likewise, inclusion here does not imply any assessment of scientific novelty or ranking, only that the paper’s scope and focus align with the track’s goals.

Systems for ML

  • MLPerf Training Benchmark, many companies, 2020
  • AntMan: Dynamic Scaling on GPU Clusters for Deep Learning, Alibaba, 2020
  • BytePS: A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters, ByteDance, 2020
  • Software–Hardware Co‑design for Fast and Scalable Training of Deep Learning Recommendation Models, Meta, 2022
  • PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation, Meta, 2024
  • Insights into DeepSeek‑V3: Scaling Challenges and Reflections on Hardware for AI Architectures, DeepSeek, 2025

ML for Systems

  • Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms, Microsoft, 2017
  • Google Vizier: A Service for Black-Box Optimization, Google, 2017
  • AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery, Google DeepMind, 2025

Reviewing Process: The review timeline is the same as research track submissions. All submissions will be double-blind, though authors are allowed to post their papers on arXiv or other public forums. Key dates related to the reviewing process are given below:

  • Submission site: MLSys 2026 Hot CRP Submission
  • Submission start date: Sep 15, 2025 20:00 UTC
  • Paper submission deadline: Oct 30, 2025 20:00 UTC
  • Author response period:
    • Reviews available: Jan 12, 2026
    • Author responses due: Jan 16, 2026
  • Author notifications: Jan 25, 2026