Your local AI just leveled up to multiplayer. Parallax is the easiest way to build your own AI cluster to run the best large language models across devices, no matter their specs or location.
Host LLMs across devices sharing GPU to make your AI go brrr
Your local AI just leveled up to multiplayer. Parallax is the easiest way to build your own AI cluster to run the best large language models across devices, no matter their specs or location.
Hello Product Hunt 👋, Everyone loves free, private LLMs . But today, they’re still not as scalable or easy to use as they should be. We’ve always felt that local AI should be as powerful as it is personal, and this is why we built Parallax. Parallax started from a simple question: what if your laptop could host more than just a small model? What if you could tap in to other devices — friends, teammates, your other machines — and run something much bigger, together? We made that possible. It’s th
Really exciting idea — turning idle devices into a distributed inference cluster feels practical and privacy-friendly. Quick question: how do you handle latency and bandwidth variability across WAN peers to keep inference smooth for real-time apps? Would love clarity on any built-in QoS or fallback strategies.
Its an amazing concept, I stumbled upon Parallex today and now setting up all my systems with GPUs together so I can make use of private AI. The Chat UI is pretty basic but I guess its only for demo. Are you working on adding maybe the Reasoning/Thinking/Files/Modality to it? If not I would be happy to collaborate and chat with you as I am setting up local AI chatbot with all the tools/efficiencies while running different models in a a local environment.
Parallax makes it easy to build your own AI cluster run top-tier LLMs across any device, regardless of specs or location. Scalable intelligence, now in your hands.
Parallax by Gradient is an incredible innovation—turning local devices into a shared GPU cluster truly democratizes AI compute. Do you plan to add autoscaling or support for edge deployments?
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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.