Parallax
@tryParallax
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serve AI everywhere. powered by @gradient_hq
Joined December 2025
can’t wait for the 60 gpu madness
I want to shoutout a few of my friends who’ve helped me test, operate & pool together the compute, bandwidth & electricity for this post: @VinoisAsian @crispysizzlin @timograssisto @mistdev3 & Professor Chang for helping make all this possible. Here’s a behind the scenes for
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Chinese electronics maker Xiaomi open sourced Mimo v2 flash. Inference speed at 150 token per s, costing as low as $0.1/0.3 per token input/output Benches on par with Deepseek v3.2, GPT 5 high The race is on
⚡ Faster than Fast. Designed for Agentic AI. Introducing Xiaomi MiMo-V2-Flash — our new open-source MoE model: 309B total params, 15B active. Blazing speed meets frontier performance. 🔥 Highlights: 🏗️ Hybrid Attention: 5:1 interleaved 128-window SWA + Global | 256K context 📈
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好消息，Echo 也获奖了！ 非常感谢 @Gradient_HQ 举办的活动。 说实话感觉很多搞 AI 的大佬都还不知道这活动，一旦 Web2 玩家全面进场降维打击，留给普通人的机会就非常少了。 从这个角度看，Web3 现在依然是蓝海。 也算是个小奖励吧，老婆的 Mac mini M1 可以升级成 M4 了。 ./ Build Open
恭喜获奖的大佬们，没想到有这么多大佬参赛，我那个作品简直是小巫见大巫了🤣 依旧看好 @Gradient_HQ ，作为目前来说如此冷清的行情之下还在持续活跃做事的项目方很难得，而且专注于 AI 赛道，相信还会有更多好的产品推出。 继续 ./ build
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Honored to be selected as a winner alongside this incredible group of builders. 🛡️ I built AEGIS to prove a point: You don't need the cloud to build enterprise-grade security. You just need @tryParallax . $0 costs. 100% Privacy. And now, a Mac Mini coming home. 🍎 The era of
Huge congrats to the winners of the Parallax competition! We were blown away by the creativity and technical depth of the submissions. From massive local clusters to distributed AI apps, you pushed Parallax in ways we didn’t expect. Here are the 8 winning projects. 🧵
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Thanks to everyone who tested, built, and shipped Parallax with us. The feedback has been 🔥 and it’s already influencing upcoming changes. Stay tuned. Replay the space for some local AI inspirations: https://t.co/0ccawtDzej
Build your own AI lab -- Who are the winners?
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Parallax Eval Lab by @ananya_garg_ A local LLM evaluation platform supporting A/B model comparisons with judge scoring. Includes arena mode, dataset-level evals, async concurrency, and per-task performance breakdowns. https://t.co/3rPeGnGRkB
@tryParallax
https://t.co/5A9Tmp3Sgj there is a demo video for parallax eval lab too.
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Local LLM Stack Deep Dive by @ikristoph A comprehensive walkthrough of a personal local LLM stack built on Parallax, with custom tooling for model configuration and agentic workflows. Equal parts learning exercise and production-ready setup. https://t.co/LuC9noyVMa
I've put together an overview of the local LLM stack I use that leverages Parallax @Gradient_HQ and a bunch of tooling I've built from scratch - primarily to learn more about models but also to be able to configure them for agentic use. Please let me know you think. ( synthetic
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parallax-cat by @stmoonar258 A cute desktop AI companion built in two days. Local LLM backend via Parallax powers chat, task management, Pomodoro sessions, and smart reminders inside a playful, customizable UI. https://t.co/vabE6Y2qNQ
I vibe this desktop pet in 2 days, and I named it parallax-cat. The LLM API is served local with #parallax, the demo is below. You can chat with its AI brain, crush Pomodoro sessions, smash daily tasks, and get smart reminders—all in one customizable companion. @Gradient_HQ
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AEGIS by @shariqshkt A fully local, sovereign AI security system replacing cloud vision APIs. Runs end-to-end on a MacBook with a 7-stage inference pipeline covering detection, reasoning, trend analysis, and risk scoring. Zero cloud, sub-500ms delay. https://t.co/bn9WU6JJGT
I was paying $518/month for AWS Rekognition to monitor my home security cameras. Then I built AEGIS using @Gradient_HQ Parallax and now I pay $0. Forever. Here's the full story 👇 ━━━━━━━━━━━━━━━━━━━━ 🛡️ AEGIS — Autonomous Edge Guard & Intelligence System
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Cluster showcase by @lalopenguin Pushing the boundaries of Parallax running across five old machines, A hands-on exploration of a household assistant system with different personalities in each room. https://t.co/TxI1JLbDci
I got @Gradient_HQ set up on 5 old cpus. what kinds of things could I make with a dgx spark!??! ionno, probably something cool.
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Parallax Connect by @zeingenixx Your GPU as a personal AI cloud. Chat with models running on your own hardware, directly from your phone. Private by default, zero API costs, mobile-first UX. https://t.co/1dJ7LVL7Ll
Introducing Parallax Connect for #BuildYourOwnAILab! 🚀 Turn your GPU into a personal AI cloud — accessible from your phone, anywhere. 🔒 Private • 💰 Zero API costs • 📱 Mobile-first Built with @Gradient_HQ Parallax 🧵 Here's what it does...
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Local LLM Remote Control by @redtachyon A weekend hack that turns your phone into a natural-language control plane for your laptop. Local LLM runs via Parallax, with a lightweight web app acting as the remote interface. https://t.co/BrdeD0KZ0v
Weekend hack done - local LLM running via parallax, web app on my phone acting as a natural-language remote control for my laptop. Shoutout to @Gradient_HQ for weird GPU topologies working. Code: https://t.co/U7eYJmbvbO
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DGX Spark winner: X Companion by @danadvantage An engagement copilot for X. Automates reply drafting while keeping the human in the loop. Built to scale interaction without turning timelines into bots. https://t.co/GxuKCenvxA
Here is my local setup - thank you Parallax!! @Gradient_HQ
@TheAhmadOsman
@VoidAsuka
@vikhyatk
@yacinelearning
@NoCommas Here's what I built: X Companion!!!!!!!!!! Automate your replies manually yet painlessly for maximum engagement!!!!!! https://github
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Huge congrats to the winners of the Parallax competition! We were blown away by the creativity and technical depth of the submissions. From massive local clusters to distributed AI apps, you pushed Parallax in ways we didn’t expect. Here are the 8 winning projects. 🧵
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tooling for local AI (ikristoph) - https://t.co/ykwBG266Tl Parallax-cat - https://t.co/vabE6Y1SYi AEGIS — Autonomous Edge Guard & Intelligence System - https://t.co/NqO52VWZIv lalopenguin's project - https://t.co/rZrTihFMZX x companion - https://t.co/bTqMVih2zj parallax
Here is my local setup - thank you Parallax!! @Gradient_HQ
@TheAhmadOsman
@VoidAsuka
@vikhyatk
@yacinelearning
@NoCommas Here's what I built: X Companion!!!!!!!!!! Automate your replies manually yet painlessly for maximum engagement!!!!!! https://github
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~70% of AI workloads are inference and most of that can be handled locally. @prompt48 breaks down how Parallax turns local machines into a sovereign inference cluster, running large models across heterogeneous hardware. Privacy and performance without centralized infra.
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Open mic with builders, judges, and Parallax core devs Let's talk local AI. Dec 15 • 7:45pm PT
hi, it’s christmas season! just a heads-up: we’re sending out gifts today. we’ll be demoing some cool local ai showcases and giving away awards on parallax x account's space in dec 15th 19:45pt. we’ll also have parallax core devs joining for an AMA, discussing any tech details
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Moments ago @tryParallax reached 1,000 stars on GitHub. We are having a great start towards open intelligence. Anyone can host frontier models, create clusters with their own machines, anywhere in the world. ./ @Gradient_HQ a thousand more reasons towards open intelligence.
As a frontier AI research lab, @Gradient_HQ has officially announced the open sourcing of Parallax Your Own Sovereign AI OS, Making intelligence truly yours.
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1k stars ✅ bringing the local AI experience to everyone who cares.
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