High-end desktop supercomputers for AI
Run and tune the biggest large language models locally
What it does
GPTshop.ai presents: The ultimate high-end desktop supercomputers for AI and HPC. Run and tune the biggest large language models locally. Currently the fastest and most beautiful AI Desktop/Workstation PCs in the world. Get our mind-blowing Nvidia GH200 Grace-Hopper or GB200 NVL4 Grace-Blackwell systems. Order B200 Blackwell, B300 Blackwell Ultra or GB300 Grace-Blackwell Ultra now! We can ship GH200 to china!!! Rack server systems: GPTrack.ai
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- SFSan Francisco Compute – 512 H100s at <$2/hr for research and startups2023 · sfcompute.org · ▲727
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed
The cheapest GPU cloud – H100s at $2.04/HR, H200s at $3/HR4d ago · compute.cheap · ▲62Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
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the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com
Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
