Stanford University · Stanford Institute for Human-Centered AIStanford HAI
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Events & Updates

News, milestones, press, and system updates from the Marlowe team — research breakthroughs, talks and seminars, education and training, and the latest on system status and capacity.

A full auditorium at the Stanford Three Minute Thesis showcase, April 2026 3MT showcase · 2026

Three Minute Thesis showcase · Stanford, April 2026

Upcoming

Office hours run on the second and fourth Wednesday of every month. Seminars and workshops are listed here as they are scheduled — the recurring NVIDIA & Marlowe seminars also have their own page, with every past session.

Wed2nd and 4th11AM–12PM
CoDa
Series · 2nd & 4th Wed

Office Hours: Marlowe Research Data Science Team

14Oct · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Curtis Langlotz

Training Methods for a Medical Imaging Foundation ModelCoDa E160
21Oct · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Anshul Kundaje

Decoding regulatory DNA with deep learning modelsCoDa E160
28Oct · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Dan Yamins

Large-Scale Computational Models at the Neuroscience-AI IntersectionCoDa E160
04Nov · Wed12–1PM
CoDa
Workshop · NVIDIA

Topic to be announced

CoDa W401Registration open
04Nov · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Ruijiang Li

Multi-Modal Foundation Models for Precision MedicineCoDa E160
11Nov · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Alex Pentland

Detecting coordinated behavior across multiple fully encrypted domainsCoDa E160
18Nov · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Andreas Tolias

Decrypting the Brain with AICoDa E160
02Dec · Wed12–1PM
CoDa
Workshop · NVIDIA

Topic to be announced

CoDa W401
02Dec · Wed4:30–5:30PM
CoDa
Course · Autumn 2026

AI and Data for Science: Leonidas Guibas

Talk Title TBACoDa E160

Recent updates

Past events, research milestones, press, and system notices.

  • Sep 2, 2026
    research milestone

    Hero Run Scheduled: AI Virtual Cell Model Training on 192 GPUs

    Begins Tuesday, September 8, 2026, 10:00 AM PDT Professor Jure Leskovec’s team will hold up to 24 nodes (192 H100 GPUs) for a hero and scaling run from Tuesday, September 8 at 10:00 AM PDT through Tuesday, September 15 at...

  • Aug 31, 2026
    research milestone

    Milestone: 3 Million GPU-Hours Delivered to Research

    Monday, August 31, 2026 Marlowe has delivered more than 3 million GPU-hours to Stanford research. The cluster passed the mark on Monday, August 31, 2026, 22 months after users could first run work on the system on October 18, 2024....

  • Jul 13, 2026
    research milestone

    Scaling Run Completed: Hyperparameter Optimization on Up to 192 GPUs

    Professor Kay Giesecke’s team, in Management Science and Engineering, completed a scaling run on Marlowe across up to 24 nodes (192 H100 GPUs) for hyperparameter optimization ahead of a larger campaign. The run began Friday, July 10 at 3:00 PM...

  • Jul 1, 2026
    research milestone

    First Hero Run Concludes; Next Cycle Opens July 2

    Next cycle begins Thursday, July 2, 2026, 10:00 AM PDT Marlowe’s first hero run has completed — the PSI-32B training campaign across 24 nodes (192 H100 GPUs). The model is now in benchmark evaluation. The next dedicated hero-run cycle is...

  • Jun 3, 2026
    talks seminars

    NVIDIA & Marlowe: Scaling Code Agents for 100M+ LOC

    Wednesday, June 3, 2026 | 2:00 – 3:30 PM PDT CoDa Building, Room W101, 1st Floor Abstract This talk will cover how to use NVIDIA GPUs and GPU-accelerated techniques to efficiently index, update and search massive code-bases with over 100M...

  • May 20, 2026
    talks seminars

    NVIDIA & Marlowe: Workload Performance and Health Monitoring in Data Centers

    Wednesday, May 20, 2026 | 2:00 – 3:30 PM PDT CoDa Building, Room W401, 4th Floor Abstract This session explores how to efficiently run and monitor large workloads in hyper-scalars and the kind of telemetry data we can monitor from...

  • May 13, 2026
    research milestone

    First Hero Run Scheduled: PSI-32B Training Campaign on 192 GPUs

    Begins Wednesday, May 27, 2026, 10:00 AM PDT Marlowe’s first dedicated hero run is scheduled to begin Wednesday, May 27 at 10:00 AM PDT. Professor Dan Yamins’ team will hold a reservation across 24 nodes (192 H100 GPUs) for a...

  • Apr 22, 2026
    talks seminars

    NVIDIA & Marlowe: Training Robots with World Foundation Models

    Wednesday, April 22, 2026 | 2:00 - 3:30 PM PDT CoDa Building, Room W101, 1st Floor Abstract This talk explores the new wave of robotics driven by world foundation models. We present our family of world models and describe how...

  • Mar 11, 2026
    talks seminars

    NVIDIA New AI Models: Open Models — Open to Build

    Wednesday, March 11, 2026 | 2:00 - 3:30 PM PDT CoDa Building, Room W401, 4th Floor Abstract This talk will cover NVIDIA’s new wave of open AI models, data and tooling that enable researchers to build high-performance, domain-specialized systems. It...

  • Feb 20, 2026
    maintenance

    Planned Maintenance Window: February 24-25

    Marlowe will undergo scheduled maintenance on February 24-25 for firmware updates and network fabric optimization. The maintenance window is expected to last approximately 8 hours. Running jobs will be checkpointed where possible, and the scheduling queue will drain starting February...

  • Feb 18, 2026
    talks seminars

    NVIDIA & Marlowe: Post-training Language Agents with NeMo RL and NeMo Gym

    Wednesday, February 18, 2026 | 2:00 - 3:30 PM PST CoDa Building, Room W401, 4th Floor Abstract This talk covers modern post-training and reinforcement learning techniques used to train effective language models and agents. An overview of NVIDIA NeMo and...

  • Feb 7, 2026
    research milestone

    Milestone: Training POC for 80B-Parameter Brain Model on Marlowe Completed

    Professor Dan Yamins’ team completed a proof-of-concept hero run on Marlowe, validating that an 80-billion-parameter brain-inspired neural network can train at scale across 24 nodes (192 H100 GPUs). The 24-hour run achieved 45% model FLOPS utilization (MFU), confirming that capability-scale...

  • Jan 28, 2026
    talks seminars

    Compute Resources @ Stanford and Beyond

    Wednesday, January 28, 2026 | 2:00 - 3:30 PM PST CoDa Building, Room W401, 4th Floor, 389 Jane Stanford Way, Stanford, CA 94305 Abstract This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing....

  • Nov 12, 2025
    talks seminars

    NVIDIA PhysicsNeMo: Community Models and Dataset Integrations

    Wednesday, November 12, 2025 | 2:00 - 3:30 PM PST CoDa Building, E365 Conference Room, 3rd Floor Abstract Scientific machine learning (SciML) is becoming a fundamental part of research, development, and discovery workflows for scientists across many domains such as...

  • Oct 29, 2025
    talks seminars

    Building Scalable, End-to-End Generative AI with NVIDIA NeMo Framework on Marlowe

    Wednesday, October 29, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract As foundation models grow in scale and complexity, the need for reproducible, modular, and high-performance research frameworks has become critical. NVIDIA NeMo is...

  • Sep 24, 2025
    talks seminars

    Graph Neural Networks & LLMs in PyG on Marlowe

    Wednesday, September 24, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract This talk will cover how Graph Neural Networks can be used to enhance LLMs using PyG to improve accuracy for RAG-like tasks across...

  • Aug 13, 2025
    talks seminars

    Using CuPyNumeric and the Legate Ecosystem for Multi-GPU Scaling on Marlowe

    Wednesday, August 13, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract Discover how to use CuPyNumeric for seamlessly scaling NumPy code to multi-GPU and multi-node setups. This workshop will discuss the best practices and...

  • Aug 7, 2025
    education

    DataSci 211: Accelerating Research with Marlowe

    Stanford Data Science launched DATASCI 211: Accelerating Research with Marlowe — Practical GPU Computing for Scientists, a 1-unit course offered in Autumn quarter 2025. The course provides hands-on and conceptual grounding in high-performance GPU computing on Marlowe. Aimed at researchers...

  • Jul 16, 2025
    talks seminars

    NVIDIA Clara for AI-Enabled Healthcare and Life Sciences on Marlowe

    Wednesday, July 16, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract This session provides an overview of NVIDIA Clara, which is an accelerated, AI-enabled platform for healthcare and life sciences. It will specifically highlight...

  • Jun 25, 2025
    talks seminars

    NVIDIA Nsight Systems for Profiling Code on Marlowe

    Wednesday, June 25, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract Discover how to use Nsight Systems for system-wide profiling of GPU-accelerated applications. This workshop will help you identify performance bottlenecks and optimize code...

  • May 21, 2025
    talks seminars

    Distributed Training & Marlowe Multi-GPU Best Practices

    Wednesday, May 21, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract This training focuses on efficient strategies for using multiple GPUs and nodes. We will overview how to deploy strategies of data parallelism and...

  • Apr 29, 2025
    talks seminars

    Marlowe Featured at 2025 Stanford Data Science Conference

    Marlowe researchers presented a dedicated session at the 2025 Stanford Data Science Conference, held at the Simonyi Conference Center in CoDa on April 29, 2025. The session, Designing for Impact with Marlowe GPU-Based Computational Instrument, featured three talks showcasing research...

  • Apr 23, 2025
    talks seminars

    Marlowe GPU Computing Foundations: Architecture, Applications, and Acceleration

    Wednesday, April 23, 2025 | 2:00 - 3:30 PM PDT CoDa Building, Rm E401, 4th Floor Abstract This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing...

  • Dec 15, 2024
    press

    Stanford Welcomes First GPU-Based Supercomputer

    Stanford Report published a feature story on Marlowe, Stanford’s first GPU-based supercomputer. The article covers Marlowe’s role in democratizing frontier AI research at the university, making capabilities previously available only to industry accessible to faculty across seven schools. Read the...