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Alternatives

Products that do what State of Decentralized AI 2026 does

What DeAI is — and why it matters

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    GPU.LAND126

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    The decentralised machine learning and AI platform

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    The Bloomberg for GPU's and AI Infrastructure

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  9. 9TC

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com

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    Find the best active AI software & compute grants & credits

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    Build AI automations & employees trained on your business

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    AI-Native Data Infrastructure for Spatial and Physical AI

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  13. 13

    A global hackathon for the open AI future

    Jun 2026 · decentralizeai.tech

  14. 14WB

    Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…

    Mar 2026 · enlidea.com

  15. 15TC

    Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!

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  16. 16

    Which AI models actually run on your GPU

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  17. 17SA

    Hey HN! Bob here, Founder and CEO of Salad (www.salad.com), a distributed cloud for AI inference at scale. *Why Salad?* Because there’s 400 Million consumer GPUs in the world (~100 Million AI-enabled RTX GPUS) and most of them lie unused for 18-22 hrs a day. These consumer GPUs offer similar or better cost-performance than high-end AI GPUs for many AI/ML use cases (Speech-to-text, batch jobs, text-to-image, computer vision to name a few). With Salad, we have activated this latent compute in everyday PCs to power AI/ML workloads. *How big is our network?* More than 1,900,000…

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  18. 18HM

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  19. 19

    Deploy and scale GPU clusters instantly

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    One layer for your agents and teams.

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  22. 22OD

    Hi HN, We’ve launched a GPU cloud platform offering on-demand access to high-end GPUs — with pricing starting at $0.79/hr, no queue, and no preemption. What we offer: - On-demand H100, H200, and B200 instances - H200 pricing from $0.79/hr - Multi-region support: US, Singapore, and Europe - No queuing, no bidding, and no interruptions - Used by AI startups, researchers, and open-source developers Try it: https://hpc-ai.com/?utm_source=hackernews&utm_medium=post&ut... We built this after facing our own frustrations with high prices and long wait times on other…

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