
Crynux
@crynuxio
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k8s on EdgeAI #DecentralizedAI #DeAI built by eng and scientists from Google Learn more: https://t.co/EoxbxCvXTR
Joined October 2023
Now you can run a @crynuxio node with one click on @octa_space's scalable infrastructure. A huge step forward for permissionless and trustless #DeAI . Follow this guide to setup it up and earn rewards now!.
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Just made it even easier to run Crynux node!.
One-click node deployment for @crynuxio is now live on OctaSpace. ⚡. Run a node. Earn rewards. No setup. No stress. Just launch and go. Only on OctaSpace.
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Don't miss it!.
Live in 1 hour: NEAR Town Hall June Edition! 🔥. Featuring: @ilblackdragon, @auroraisnear, @moremarketsxyz, @rhea_finance, @crynuxai, @open_crosspost and @pingpay_io . Streaming live on X and YT via @NEARProtocol. The future is NEAR anon - lock in!
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Scaling multi-agent AI just got affordable. 🚀.We're now a live LLM provider on @CamelAIOrg ! 🎉.Use our free API key to power your applications with low-cost inference, driven by community computing power. Integrate now and build bigger: #AI #DeAI
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Hey @KaspaCurrency community, your GPU has a new mission. ✅ Join our discord group: ✅ Run the Crynux node on @kasplex. ✅ Serve AI tasks and earn rewards. ✅ Buidl the first truly permissionless and trustless #DeAI protocol together. Live Now:
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Don't miss this town hall!.
The Agentic Era is NEAR. This month’s @NEARProtocol Town Hall brings @ilblackdragon, @crynuxai, @IQAICOM, @moremarketsxyz, and @open_crosspost to the stage with live demos, protocol updates, and real alpha. Live June 12 at 3 PM UTC on X and YouTube. All the details below:
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We can take one step further in decentralized training on edge.
We just put out a key step for making distributed training work at larger and larger models: Scaling Laws for DiLoCo. TL;DR: We can do LLM training across datacenters in a way that scales incredibly well to larger and larger models!
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Get your own AI with 1k data and $6, this is why we do Edge AI #DeAI.
DeepSeek r1 is exciting but misses OpenAI’s test-time scaling plot and needs lots of data. We introduce s1 reproducing o1-preview scaling & performance with just 1K samples & a simple test-time intervention. 📜
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DeepSeek shows that reducing training and inference costs to 10% could cut $400B from $NVDA market cap. Imagine dropping it to 1% with Edge AI. Crynux envisioned this back in 2023, pioneering decentralized Edge AI to revolutionize the industry. #DeAI. Efficient is the new.
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