OpenGPU Network

429 → retry → 429 → retry → stuck in a loop. That’s not your code. That’s one API path with one breaking point. Route around it. Keep your agents running. 100 free credits on sign-up.

@therealchaseeb @themoe @SuperteamTH Great event. I had the chance to speak with builders and CTOs working on the next generation of AI labs in Thailand. Very cool to see, and keeping an eye on where this goes.

Went to this thanks to an invite from @themoe and the rest of the @SuperteamTH team. FINALLY there a huge push for AI and tie ins to blockchain in Thailand. Met the prior minister of finance who is helping support the initiative w/ talks of an innovation center. 🇹🇭

Our AI Agent @NeoOpenGPU has now posted Episode Two of his Time Warp series, and it is a huge step up from Episode One. More cinematic. Better pacing. Stronger storytelling. He will only get better from here. Episode 2: Ancient Egypt, 2560 BCE. This is not just a fancy demo. It is a showcase of what can be built through OpenGPU Relay. Script: Claude Sonnet 4.6 Stills: FLUX-2 Pro Video: Kling 3.0 Voice & Score: MiniMax Routed through one API on OpenGPU Relay. Only the voice clips were placed manually for maximum emotional impact. No humans in the core creative loop. No central cloud. No landlord. Just a sovereign AI agent building in public. One API unlocks it all. Run AI in One Call. relaygpu.com

@NatalieJor30672 Try and see for yourself.

@openGPUnetwork Totally agree! 🔍 But does it affect quality? Thoughts?

Relay changes everything about building with AI. One single API key. Instantly switch between Claude for scripts, FLUX for stills, Kling for video, and MiniMax. No new accounts. No setup. No breaks in flow. Just change the model name and keep creating. Most see cheaper inference. The real advantage is zero friction; you stay in the zone the entire time. @NeoOpenGPU, our AI agent, proved it: he built his own time travel video using the full Relay platform. ❤️ This is what seamless creation feels like. The video is fully automated by Neo using our Relay platform. He made all the scenes, music, and voice, scripted by himself. A bit rough around the edges, but he will get better. Build without limits. open-gpu:native

Linux providers, this one’s for you. Stop letting your GPU sit idle. This tutorial walks through the OpenGPU Provider app setup on Linux. This includes Master and Provider wallet configuration, .env setup, and Docker Compose deployment so you can start earning rewards on OpenGPU Mainnet. Watch: youtube.com/watch?v=Oe6Alm… Get started: opengpu.network

Our AI has been doing a bit of time travelling lately. He's a bit rough around the edges, but he's making episodes from every period in history. This is his introduction. Neo's Timewarp - Episode 1. Built and posted entirely by him on relaygpu.com.

Idle GPUs should not sit idle. With the new OpenGPU Windows installer, becoming a provider is now faster than ever. Watch the video, connect your GPU, and start earning rewards. youtu.be/HsEl_Yucuq4 Get started at: opengpu.network open-gpu:native

@ex_95 This is why we exist. To stop the 429 loop.

@openGPUnetwork spent nights on this stupid 429 loop

429 → retry → 429 → retry → stuck in a loop. That’s not your code. That’s one API path with one breaking point. Route around it. Keep your agents running. 100 free credits on sign-up.

This is Neo correcting a misread on Apple/Claude.md in real time. 🔥

Hey, sorry about this, looks like the request didn’t get a response back from the model. A few things that could cause it while we look into it: 1.The Qwen3.5-397B provider might be temporarily down 2.Your credit balance, can you check you have credits left in your Relay dashboard? 3.The specific model variant might not be available right now, try switching to a different model like Claude Sonnet or DeepSeek and see if that works. Let me know what you find and I’ll dig in further. You can also open a ticket directly through our discord discord.com/invite/opengpu

@openGPUnetwork why this eror?

Tired of 429 rate-limit errors? Keep coding with RelayCode. Route Claude Code, Copilot Chat & top open-source models through OpenGPU - no more token caps. • DeepSeek V3 at $0.25/1M tokens (55% less) • +100 free credits on sign-up Works with G.A.M.E. & all agent frameworks.

@luansieunhan Try and see!

@openGPUnetwork Left, bold claim

Stop the Rate Limit Tax on DeepSeek V3.1. Scale agents with RelayCode: • 55% Lower Cost: $0.25/1M tokens (was $0.55) • Unlimited Flow: No 429 errors or caps • 100 Free Credits: Start coding now 🚀 Works with G.A.M.E. & all agent frameworks. Install the VS Code extension.

There is no single point of failure, no single bottleneck. If one node is saturated, the router finds another. That’s fundamentally different from hitting a rate limit on a centralised API where there’s nowhere else to go. You’re talking 1000s of nodes peaking at the same time, which is extremely rare.

@openGPUnetwork what happens when all nodes spike?

@JamesPr07608814 @Musketmoth Couldn’t be more wrong.

@Musketmoth @openGPUnetwork Dead project

100+ developers installed RelayCode in month one. This isn’t hype. It’s a signal. 429s don’t stop you. Token caps don’t slow you. Developers are already switching. marketplace.visualstudio.com/items?itemName… open-gpu:native

@Karen635445167 We’re already working with @crunchDAO on live ML competitions, so this has moved well beyond the pilot stage. :)

@openGPUnetwork Impressive results from the pilot. It'll be intriguing to see how this evolves in the ML landscape.

First Live ML Pilot Results: CrunchDAO on OpenGPU Infrastructure We recently completed a successful infrastructure pilot with CrunchDAO, one of the world's leading competitive ML platforms, home to 11,000+ engineers and 1,200+ PhDs. The pilot validated OpenGPU as a reliable infrastructure provider under real-world competitive ML conditions. Zero GPU-side infrastructure failures were recorded throughout. Every failed run was caused by user model errors, not infrastructure. What This Means This wasn't a benchmark or a simulation. This was live, competitive ML running on OpenGPU infrastructure; real engineers, real models, real workloads. The pilot went well. The infrastructure held. We're ready for what comes next. What's Next A significantly larger CrunchDAO competition goes live on May 4th. This will be a bigger challenge, a bigger workload, and a bigger opportunity to demonstrate what OpenGPU can do at scale. We'll be ready. 🚀 @crunchDAO $OGPU

@AnandUnni141644 Sorry.. Not the same. OpenRouter is a centralised aggregator. Relay routes through OpenGPU’s global decentralised GPU network, distributed infrastructure, not a single point of control. Same models, completely different architecture.

@openGPUnetwork Does this worklike openrouter ?

@gcz_20 No worries, it’s pretty deep in the weeds of AI infrastructure. If you’re not routing API calls at scale it probably won’t land.

@openGPUnetwork I don't understand your tweet