Fluidstack is partnering with @AnthropicAI to deliver their $50B investment in American AI infrastructure.
We are proud to work with them to create American jobs and bolster American competitiveness.
It was an unforgettable event that wouldn't have been possible without the support of @SemiAnalysis_ π€
Special shoutout to everyone that joined us for the afterparty at the bowling alley next door. A well needed celebration for everyone.
See you at the next one!
Honorable Mentions:
Best Tokens β Tinker-Nomics by Simon Guo (RL cost calculator, reverse-engineered Tinker's stack)
Best GPU β Speculative Prefill by Kunal Menda (6.2x latency reduction on voice agents, single B200)
Best Slurm β Bridge Engine VLA by Terresa (2.2B VLA robot policy trained on Slurm in hours)
Best GPU Optimization β llm.torch.compile by Aroun Demeure & Manoj Rao (torch.compile FXGraph capture β custom CUDA kernel injection)
Most Creative β Space Machine by Troy (AI data center site selection on the Moon and Mars using NASA data)
Best Vibes β Slurminator by Andi Holmes (a bot that publicly shames misbehaving Slurm users in Discord)
3rd Place: Tuvaluan LLM
Luc Chartier and Wiktoria Leks built the largest Tuvaluan-English corpus, fine-tuned Qwen3-30B, shipped a live Tuvaluan football news app, and beat GPT-5.4 on the Tuvaluan benchmark.
An LLM for an island nation of 11,000 people. It's awesome.
2nd Place: GPU-accelerated OLAP database
Ryan Yang built it on multi-GPU + NVLink. Beat every ClickBench submission by 24%. Better price-performance than every top CPU entry.
1st Place: quectoGPT
Distributed GPT training across browsers using WebGPU. Visit a website, pull weights, run forward/backward prop, send gradients back. BPE tokenizer over Shakespeare data. GPT-2 implemented entirely in WebGPU.
Built by Vivek and Sreejith.
300 people showed up and started building. The room was loud, focused, chaotic in the best way.
60,000 mg of caffeine and 9 hours later, submissions closed. We talked to every team we could. The technical level across the board was mind-blowing. The judges picked their winners.
Reflecting on the βFrom Silicon to Scaleβ hackathon at GTC 2026.
With 296 builders and 48 hours of intense innovation, we unleashed 18,432 B200 GPU hours and $180k in credits!
Plus, we had speakers and prizes from @nvidia, @OpenAI, @thinkymachines, and @GPU_MODE. Here's what went down! π
The event was sold out. 300 registered, 100+ on the waitlist. Nvidia and OpenAI committed to sponsor. Two DGX Sparks signed as prizes. One by Jensen himself.
The next morning, the team set up the venue. It was show time.
Winners have been crowned. π
π₯ [1ST PLACE] π₯ [2ND PLACE] π₯ [3RD PLACE]
Incredible builds from an incredible group. Thank you Fluidstack for making this happen at #GTC2026π₯ @dylan522p
Let the hacking begin.π¨
Live from San Jose β kicking off NVIDIA GTC with @FluidStackπ
Big thanks to our speakers for getting things started: @dylan522p | @marksaroufim (GPU Mode) | @cHHillee (Thinking Machines) | Thomas Raoux (OpenAI) | Gary Wu (FluidStack)
This is just the warmup.π #GTC2026 #NVIDIAGTC #AI "
1 petaFLOP of AI compute on your desk.
Top 3 teams each take home an NVIDIA DGX Spark.
And we're just getting started on prizes.
@SemiAnalysis_ x @Fluidstack at GTC
https://t.co/aGI86vb1UA