

Engineers Only: GPU Hackathon – Fine-Tune DeepSeek + Master Chess 🇦🇺
​STRONG COMPUTE GPU HACKATHON
​For Engineers & AI Researchers who are comfortable with PyTorch.
​Our goal is to offer the best platform to build and train models at cluster scale. Come on over, light up some clusters, have a blast and let us know what you love and what needs work.Â
​​Strong Compute’s Instant Super Computer (ISC) is designed to be the easiest way to get started on multinode training. You’ll be up and running in an hour.
​Engineers only. All code. Recruiters/Slidegineers/Marketers etc. need not apply.
​All applicants will be vetted for technical fit before being approved to attend.
​Choose from one of the following hacks to compete in over the weekend.
​Competition A: DEEPSEEK Fine Tuning
​DeepSeek has landed. Come build the next demonstration of leaner meaner reasoning models dominating the big guys.
​Strong Compute will provide the DeepSeek distillation model weights at your fingertips, and a bunch of GPUs to fine tune on. Over to you!
​Fine-tune a DeepSeek reasoning model on your dataset and show us what it can do. The most impressive demo wins.
​​Details:
​​Challenge: Fine-tune a DeepSeek model on your dataset.
​​Resources: DeepSeek model variant weights downloaded ahead of time, and a demonstration of how to fine-tune on Strong Compute.
​DeepSeek-R1-Distill-Qwen-1.5B
​DeepSeek-R1-Distill-Qwen-7B
​DeepSeek-R1-Distill-Llama-8B
​DeepSeek-R1-Distill-Qwen-14B
​DeepSeek-R1-Distill-Qwen-32B
​DeepSeek-R1-Distill-Llama-70B
​​Compute: Dedicated GPU access via Strong Compute’s ISC
​​Judging: Qualitative assessment of how far you have pushed DeepSeek beyond the stock model. Ie. what can your fine tuned version do that the stock model can’t.
​Competition B: ​Mega Chess Hackathon Overview:
​Now in it’s 7th season. Our first hackathons had models a beginner could beat, our most recent hackathons hit ~2000ELO in just a weekend of training from scratch.
​Train AI Chess bots on GPUs in SF.
​​Compete to build the best chess-playing AI with access to 48 GPU clusters and explore models, datasets, and hyperparameters.
​​Details:
​​Challenge: Train a deep neural network to evaluate chess moves based on game history and board states.
​​Resources: StockFish-evaluated board states, historic game PGNs, and code examples.
​​Compute: Dedicated GPU access via Strong Compute’s ISC
​​Judging: Tournament-style model face-off.
​​Accepted participants will get the full task, dataset, and model specifics as soon as they are accepted. Register today to get a head start!
​​Participant Requirements:
​​Experience with PyTorch and cluster training is preferred but not mandatory.
​​Skills in large-scale clusters (64+ GPUs) are highly valued.
​​Teams of 1 to 3 members are allowed. Include your team members’ names when registering. Approved participants will receive a link to our Discord competition channel.
​Prize:
​Prize: $2.5K-$25K open source research compute grant* for each competition.
​1 prize for Deep Seek
​1 prize for Chess
​For Chess, if a veteran (past attendee) is the winner, the prize will be $1K-10K, with $2.5K-25K for the highest ranked novice (first time attendee).
​​Locations:
​Artarmon, NSW: Venue details will be shared upon successful application.
​​🗓️ Event Schedule:
​Monday, 17th Feb 2025 onwards:
​Ad-hoc onboarding sessions offered
​Participants can get demo credits to make a head start
​Saturday, 22nd Feb 2025:
​1:00 pm: Arrive. Drinks, snacks + networking
​2:00 pm: Set-up, onboarding, test training run + inference
​2:30 pm: Competition begins 🎉
​6:30 pm: Dinner
​Late: Hacking
​Sunday, 23rd Feb 2025:
​9:00 am: Day two start, breakfast
​11:30 am: Final submissions 📝
​1:00 pm: Lunch
​1:30 pm: Competition begins
​3:30 pm: Wrap-up
​​Strong Compute
​​Strong Compute provides infrastructure management capability for rapid artificial intelligence development.
​​P.S. We're hiring and this is a great way for us to get to know each other. Open roles: https://jobs.lever.co/strongcompute
​​Supported by community partner:
Build Club: the home for top AI engineers in APAC
​​*Refer to our research grants for requirements.