Strong Compute

🚀 Two Epic AI Events: Mega Chess Hackathon + ARC Prize Hackathon ♟️💻 Sept 27-28 in San Francisco & Sep 28-29 Sydney We’re thrilled to announce two simultaneous AI events that will challenge your skills, creativity, and teamwork! Whether you’re passionate about training AI chess bots or tackling AGI research, this is your chance to compete, collaborate, and win big. --- ♟️ Mega Chess Hackathon: Train AI Chess Bots on GPUs 🇺🇸🇦🇺 Develop chess-playing AI models using Strong Compute’s powerful GPU clusters. Highlights: - Hands-on with 48 GPU clusters - Compete in teams of 1-3 - $10k-$100k compute grant for the winning team Dates: Sept 27, 6:00 PM - Sept 28, 11:00 PM PDT / Sept 28, 11:00 AM - Sept 29, 4:00 PM AEDT - Register San Francisco: https://lnkd.in/gzycc-4Z - Register Sydney: https://lnkd.in/gaqQ8xe5 --- 🤖 ARC Prize Hackathon: Work on AGI Research Join us at our SF hacker house to compete for the $1M+ ARC Prize and work on beating the ARC-AGI benchmark. https://arcprize.org/ Highlights: - $1k-$3k GPU credits per team with $10k-$100k in grants - GPUs, workspace, food, and drinks provided Dates: Sept 27, 6:00 PM - Sept 28, 11:00 PM PDT Register here: https://lnkd.in/g5G-PntE Choose your event, level up your AI skills, and experience Strong Compute's Instant Super Computer! #AI #Chess #Hackathon #ARCPrize #AGI #AIResearch #StrongCompute

I'm excited to share the news that my hackathon team won the Mega Chess Hackathon: Train AI Chess Bots on GPUs, sponsored by Strong Compute! I teamed up with Suryaprakash Senthil Kumar and Ashish Mukharji. Ten San Francisco and Sydney teams competed simultaneously to build the strongest possible chess-playing deep learning model in just two days. The event culminated in a model vs. model tournament, where the bots faced off to determine the final winner. We explored a range of approaches, including CNNs, transformers, multi-head attention, and a GPT-based model, as described and investigated by Adam Karvonen in his paper “Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models.” Adam's mechanistic interpretability research on Chess-GPT models applied linear probes to analyze Chess-GPT network activations and concluded that the network creates an emergent world model including the chessboard, piece positions, and even latent variables like player ELO rating. Learning about this research was a fascinating side quest. All teams had access to Strong Compute's ISC ("Instant Supercomputer") service, which made it incredibly easy for us to train our models on multi-gigabyte datasets of historical Grandmaster games and Leela Chess Zero self-play, using powerful 72xA100 clusters. A huge thanks to my teammates and everyone who made this event possible, especially Ben Sand, Adam Peaston, Tim Smoothy, and Rebecca Pham from Strong Compute for providing the infrastructure and support that allowed us to compete at this level. Watch this space for an upcoming case study.

I had an incredible experience this weekend at the GPU Chess Hackathon hosted by Strong Compute in San Francisco! ✨ Working alongside Justin F. Knoll and Ashish Mukharji, we leveraged Strong Compute's GPU clusters to train deep learning models for chess, with the Stockfish Chess engine evaluating the board states. It was an amazing opportunity to connect with brilliant minds from both academia and industry. I'm thrilled to announce that our model, MegaChess, came out with flying colors and won the hackathon! 🎉 My sincere thanks go to the Strong Compute team for making this event possible. I also extend my gratitude to Adam Peaston and Ben Sand for their unwavering support throughout the hackathon. This victory was incredibly rewarding and highlighted the importance of teamwork in achieving success. I’m excited to apply these insights going forward. #ChessHackathon #AI #MachineLearning #GPUComputing #StrongCompute #DeepLearning

Come and learn about how to accelerate your AI through optimisation of your LLM training & Cloud Infrastructure, hosted at Dolby Laboratories tomorrow on 1275 Market St in downtown SF. We are lucky enough to have speakers on our panel from: Unsloth AI, Daniel Han A trailblazer in LLM optimization, achieving 30x faster finetuning and 85% VRAM reduction through innovative software and mathematical techniques. Strong Compute, Ben Sand, An expert in AI compute infrastructure, offering solutions for enterprise-scale AI deployment, multi-cloud management, and high-speed tooling for AI workloads. Predibase, Piero Molino A pioneer in efficient AI model deployment, leading the development of cost-effective LLM fine-tuning and serving solutions that rival GPT-4 performance at a fraction of the cost. Flipai, Sunil Mallya Lead NLP for AWS, Pioneer behind AWS Bedrock, RL guru and brains behind AWS DeepRacer. Currently building domain specific autonomous LLMs for observability. Event link in the comments. See you all tomorrow! #llmops #Mlops #llm

We are just 5 days away from our first Developer Meetup in San Jose at Zoom HQ. Here are our talks: 1. Chat Oriented Programming - How to 10x your productivity by being lazy with AI : Beyang Liu , CTO Sourcegraph 2. AI Predictions For Engineers : Dani Grant, CEO Jam.dev 3. Topics in Voice AI : Nauman Dawalatabad, Research Scientist Zoom 4. RAG Security - Indirect Prompt Injection through Vector Database : Sachin Dharashivkar, CEO TrojanVectors 5. Cloud AI Performance : Ben Sand, CEO Strong Compute So make sure to signup if you want to learn from some of the top AI innovators: https://lu.ma/p5qmq3x9 Zoom , Sourcegraph and Jam.dev are regularly hosting tech events and meetups. To know more subscribe to their luma calendars. Zoom: https://lu.ma/zoom.us Sourcegraph: https://lu.ma/sourcegraph Jam.dev: https://lu.ma/jamdotdev

🚀 Mega Chess Hackathon: Train AI Chess Bots on GPUs ♟️🇺🇸🇦🇺 Get ready for an epic AI showdown as we host the Mega Chess Hackathon across San Francisco and Sydney! This is your chance to immerse yourself in AI development, training deep neural networks to play chess using Strong Compute’s Instant Super Computer (ISC). 📝 Event Highlights: - Hands-on experience with rapid iteration cluster training - Access to 48 GPU clusters - $10k-$100k compute grant for the winning team 🏅 What’s in it for you? - Experiment with models, datasets, and hyperparameters - Compete in teams of 1-3 to develop the best chess AI - Showcase your skills in front of top AI engineers 📅 Event Schedule: - San Francisco: Aug 30, 6:00 PM - Aug 31, 11:00 PM PDT 🇺🇸 - Sydney: Aug 31, 11:00 AM - Sep 1, 4:00 PM AEST 🇦🇺 🔗 Register Now: • San Francisco: https://lnkd.in/gKfxqmx2 • Sydney: https://lnkd.in/g99bs4Fn Join us and train your AI chess bots to victory! P.S. We’re hiring! This is a great way for us to get to know each other. #AI #Chess #Hackathon #DeepLearning #GPUs #StrongCompute

Over the weekend, Strong Compute hosted their second GPU Chess Hackathon - this time in Sydney, after a successful inaugural event in San Francisco a few weeks ago. The team welcomed around 30 local builders in 10 teams to spend 48-hours training AI Chess bots on GPUs. Providing all participants with 2-day access to Strong Compute’s Instant Super Computer. A massive congratulations to Elliott, Quýnh and Nguyên for playing the best game, and finishing as champions after 48-hours. 🏆 The team has a few more events in the works, be sure to follow Folklore-backed Strong Compute to stay up to date.

🚀 Just spent an amazing weekend participating in the GPU Chess Hackathon with my team, Andrew Vo and Brian Tong! 🧠♟️ We had the incredible opportunity to train AI Chess bots on GPUs, diving deep into rapid iteration cluster training using Strong Compute’s Instant Super Computer. This environment made it so much easier and faster to run jobs on shared GPU clusters, allowing us to start training within seconds, even for large datasets and large cluster sizes. Here are some highlights: 1. Access to 48 GPU clusters for 2 days. 2. 9 teams competing to create the ultimate chess AI. 3. Training character-level generative language models using PGNs from Leela Chess Zero. Judging based on a tournament between each team's model. And... drumroll please... congratulations to our team, "UTS," for coming in 2nd place with our championship model! 🥈🎉 A huge thank you to Strong Compute for allowing us to participate, and special thanks to Ben Sand, Adam Peaston, and their whole team for making this event possible! This experience was incredibly rewarding, and I’m grateful for the chance to blend human intuition, champion moves, and innovative techniques to push the boundaries of AI in chess. #ChessHackathon #AI #MachineLearning #GPUComputing #StrongCompute

The best AI builders can now create and deploy complex agentic AI solutions in < 24 hours 👷🏻♀️.   We had 24 new projects get built to life in our latest hackathon, leveraging the latest developer tools: Groq, crewAI, Sahha, Strong Compute, Relevance AI, AgentOps.ai, JigsawStack and more!   We had everything from: 1. AI job interviewers to automate manual screening 2. Copilots for teachers and students 3. App to find the nearest parks 4. Chrome extensions for productivity on the web 5. 'AI first' excel spreadsheets 6. Gamified Pokémon themed prompting game 7. AI negotiator for medical bills 8. Text to prototype app with user interface 9. Security with multi-agent system for Github repos 10. AI mood tracker health apps for improved wellbeing 11. AI marketing associates who generate content 12. Customer support agents who work 24/7 … and 2x more   Would you use any of these? Tell us below! ✨   🙋🏻♀️ We have just opened up people's choice award where one lucky team with the most votes will score a showcase and win a 🐰 rabbit inc. too!   Votes close at 12am Wednesday PT. Links in comments! Tag and share with anyone interested! #startups #ai

We gave 250+ engineers from around the world early access to:  -Voice -Agents -Compute -Wearables - and inference APIs They had 24 hours to hack. Here are the finalists from the "AI Supaheroes" hackathon by AgentOps.ai x Supabase x Build Club at Solaris (🧵): 1/ Agentic Reasoners Multi-agent reasoning framework for solving New York Times Connections puzzles Applied experiment where agents debate to solve complex tasks GPT-4o vs Groq benchmarked by AgentOps.ai 🥇 First place: $25k @AWS + $5k @StrongCompute credits Justin Jung 2/ PokéPrompt Pokemon simulation arena powered by agents Instead of creating your own team, you prompt an AI agent to battle for you and see which ones win 🥈 Second place: $5k @AWS + $2k @StrongCompute credits Jack Wakem Joel Tankard 3/ Dream Job AI voice agent that runs practice interviews with you and rates your performance using Vapi Also used by recruiters as a screening round William C. Wright Jonathan Talmi 4/ GitHero Agentic system for scanning and monitoring git repositories for security vulnerabilities, key leaks, and control violations 🥉 $5k AWS + $1k Strong Compute credits Sako M 5/ TL;DR Search and summarize any book by breaking down the chapters and identifying key points SparkNotes, but AI Tiffany Guan 6/ Gavin Github agents for automated issue resolution AI agent that automatically creates PR proposals to issues   Ishika Mishra Mark Shteyn Jyoti Ranjan Swain Tirth Shah