build your own ai cluster. run open models across your machines.
Joined December 2025
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- Followers1.5K
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Parallax retweeted
It’s becoming ridiculously easy to run your own AI lab.
With @tryParallax, you can run frontier models locally, keep your data private, and build without depending on the cloud.
The future of AI feels a lot more personal.
This is why we built Parallax @tryParallax
As open models get stronger and agents get more capable, local-first AI becomes much more than a privacy story.
It becomes a new way to build with open intelligence that stays close to your data, your tools, and your machines.
Parallax retweeted
you can also run the latest and best models of GLM 5.2 on Parallax 👀
run locally with both macs and gpus together or solo with @tryParallax
A self-evolving agent + a 428B model + 3 Macs = ?
Your own AI lab.
We ran @MiniMax_AI M3 locally with @tryParallax, right on our desk.
Then @GA_agent_ai took over to create a 5-stock portfolio and write it to disk.
No cloud. No API bills. Nothing left the machine.
Wild to see a ~3K-line agent drive all this with a 400B+ model on local hardware.
Thanks to the GenericAgent and MiniMax teams for making local AI feel real.
Parallax retweeted
This is a glimpse of where local AI is heading and we are glad to be part of it.
Really impressive work by all the teams involved @Gradient_HQ, @tryParallax, and @GA_agent_ai
A self-evolving agent + a 428B model + 3 Macs = ?
Your own AI lab.
We ran @MiniMax_AI M3 locally with @tryParallax, right on our desk.
Then @GA_agent_ai took over to create a 5-stock portfolio and write it to disk.
No cloud. No API bills. Nothing left the machine.
Wild to see a ~3K-line agent drive all this with a 400B+ model on local hardware.
Thanks to the GenericAgent and MiniMax teams for making local AI feel real.
Parallax retweeted
Thrilled to see @tryParallax live in production on @Theta_Network.
This is exactly why @Gradient_HQ built Parallax: turning the world’s GPU mesh into a sovereign, distributed token factory.
Congrats on the milestone! 🫡
To make this work, we adapted Parallax, @Gradient_HQ's distributed inference framework, to run across EdgeCloud's global node network. One API endpoint, model split across many machines, no centralized cluster required.
Parallax retweeted
We also tested the messier setups.
Using Parallax, we trained Qwen3-8B on distributed RTX 5090s. 36% cheaper than centralized A100s, same scores, zero divergence.
We even trained a 0.6B agent to beat LLMs at No-Limit Texas Hold'em. Reliable results with unreliable compute.
Parallax retweeted
They crashed. They fell. They exploded on the pad.
Then they got back up. Faster, wiser, stronger.
Breakthroughs don't come from one perfect run, they come from the freedom to fail 100 times.
Introducing Echo-2, distributed RL that boosts AI research throughput by 10x.
Parallax retweeted
The wait is over.
Open your Clawbox now!
The easiest way to own your🦞agent.
Zero code. Just download, click, and go.
Grab yours: commonstack.ai/clawdbot?ref=…
Parallax retweeted
Want an @openclaw🦞agent in just a few clicks?
Meet Clawbox🦞, powered by Commonstack.
-No CLI. No VPS. Just download & run.
-Permission controls for peace of mind.
-Switch between 30+ LLMs instantly.
Free credits + 20% off for all!
🦞Join whitelist: commonstack.ai/clawdbot
Parallax retweeted
we sped up distributed inference by up to 5x with decentralized speculative decoding.
many don't realize that AI models normally generate text one single word at a time, waiting for the network after every word.
speculative decoding changes this by using a "guess & confirm" system, similar to autocomplete.
how it's done:
1. draft locally (the guess)
instead of waiting for the network, a tiny, fast model on your device guesses the next few words instantly, without waiting for the network.
2. confirm remotely (the check)
the massive remote model doesn't generate from scratch; it just checks the draft. it looks at the guesses in a batch and says "yes, yes, no." you get multiple words in the time it usually takes to get one.
3. adaptive logic
dsd is smart. if the topic is creative, it lets the draft flow loose. if the topic is math or code, it checks more strictly. it balances speed and precision automatically so your inference almost feel instant.
find out more:
paper: arxiv.org/abs/2511.11733
blog: gradient.network/research/tu…
Parallax retweeted
this is what local inference feels like when it’s actually production-ready
you just focus on the application
Open consumer AI apps should run on open infra.
We’re proud to partner with @myshell_ai to bring verifiable, high-throughput inference to the creator economy.
Creators shouldn't have to worry about latency or trust. We handle the groundwork; MyShell handles the charm.
Parallax retweeted
MyShell partners with @Gradient_HQ to explore how intelligent agents operate on distributed, open AI infrastructure.
Gradient’s systems for distributed inference and training enable intelligence to proliferate efficiently across heterogeneous machines— unlocking scale with flexibility.
Together, we’re experimenting with new foundations for agent workloads — from inference efficiency to multi-agent coordination.
Parallax retweeted
the era of living inference is here.
thanks to rl, models aren't just predicting patterns. they are reasoning. thinking time is the new scaling law. it demands compute density that distributed systems can handle elegantly.
for parallax, serving tokens is too basic. we are switching on distributed thinking.
the future isn't built on pretraining. it is about intelligence that lives in distributed ways.
Parallax retweeted
this weekend we are figuring out how to splice up a LLM efficiently across multiple dinky GPUs around the world (efficiently)
Parallax retweeted
An intense conversation by @GavinSBaker x @patrick_oshag on the AI infra war vs. model evolution.
I am particularly fascinated by this dynamic:
Gavin argues Edge AI is the "bear case" for the massive data center buildout.
But I view it as the ultimate bull case for humanity.
We are heading toward a hybrid future:
-Local, trimmed, capable models handle daily tasks on-device (for free)
-Cloud "God models" handle complex reasoning (paid)
This is exactly how AI proliferates
This is my fifth conversation with @GavinSBaker.
Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance.
We discuss:
- Nvidia vs Google (GPUs + TPUs)
- Scaling laws and reasoning models
- The economics of AI compute
- Why Blackwell's delay mattered
- The bear case on the AI capex buildout
- Data centers in space
- The mistake SaaS companies are making
Few people love investing more than Gavin. His closing answer about why he loves it turned into a full reflection on his investing origin story, which I had never heard before.
Enjoy!
Timestamps:
0:00 Intro
5:03 The Blackwell Transition
23:15 The Prisoner's Dilemma
27:12 The Bear Case: Edge AI
37:19 Meta, Open Source, and Model Depreciation
43:08 Geopolitics and Rare Earths
50:42 Data Centers in Space
56:06 Power Constraints as a Governor
1:11:31 The SaaS Mistake
1:16:17 Nuclear and Quantum
1:22:25 Gavin’s Investing Origins
Parallax retweeted
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
Parallax retweeted
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 Sovereign AI is just getting started. Congrats everyone! 🥂
Parallax retweeted
Open mic with builders, judges, and Parallax core devs
Let's talk local AI. Dec 15 • 7:45pm PT
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Parallax retweeted
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.
