ResearchCraft

Enrolling now · Live online workshop

HPC & Cloud GPUs for ML Research

A 3-hour hands-on workshop on running ML research at scale — SSH workflows, SLURM job scripts, containerised environments, and choosing between university HPC clusters and cloud GPUs.

Duration
3 Hours
Format
Online Workshop
Modules
8

Curriculum

8 modules, one session

3 Hours of live teaching, in the order you'll use it on a real project.

  1. 01

    HPC Fundamentals

    Cluster architecture, login vs. compute nodes, and the SSH workflows every cluster expects.

  2. 02

    Writing SLURM Job Scripts

    Requesting GPUs, memory, and walltime, job arrays, and dependency chains for multi-stage pipelines.

  3. 03

    Environments & Containers

    Conda/venv, module systems, and Docker/Singularity containers that actually run on shared clusters.

  4. 04

    Data Management at Scale

    Moving, storing, and versioning large datasets and checkpoints without filling shared storage.

  5. 05

    Monitoring & Debugging Remote Jobs

    Logging, Weights & Biases, and diagnosing failed jobs without wasting your queue priority.

  6. 06

    Cloud GPUs — AWS, GCP & Others

    Spot instances, cost control, and when cloud beats a university cluster.

  7. 07

    Distributed & Multi-GPU Training

    Data and model parallelism basics, and when you actually need more than one GPU.

  8. 08

    Cost & Compute Budgeting

    Estimating GPU-hours for a project and defending a compute budget in a proposal.

Outcomes

What you'll leave with

01

Job Script Library

Reusable SLURM scripts for single, array, and multi-GPU jobs.

02

Cluster Workflow

A documented SSH/remote-development setup for your own research.

03

Cost Estimate

A GPU-hour budget for your next experiment or proposal.

04

Debugging Playbook

A checklist for diagnosing failed or stalled cluster jobs.

Tools & frameworks you'll use

  • SLURM
  • PyTorch
  • SSH
  • HuggingFace
  • AWS / GCP
  • Docker
  • CUDA
  • Python
  • Distributed Training
  • W&B Sweeps

Enroll

Ready to run experiments at scale?

Pay securely by card and your seat is confirmed instantly — we'll email you the joining details.

  • Full refund if you cancel before the start date
  • Small cohort — 15 to 25 people

Keep going

More live courses

See all courses