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![TinDinh2701 Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1648167111574040576.png) Tin Dinh [@TinDinh2701](/creator/twitter/TinDinh2701) on x 2267 followers
Created: 2025-07-16 07:03:45 UTC

How @theblessnetwork Dynamically Orchestrates Edge Compute

- Uses a WASM secure runtime to sandbox tasks on user devices, ensuring isolation and consistent performance, even when your device is busy with other apps

- Leverages Dynamic Resource Matching (DRM), an intelligent scheduler that considers CPU, GPU, memory, location, and uptime to assign the best suited nodes for each workload

- Splits large jobs into parallel “micro tasks,” distributing them across devices and reassembling encrypted results, with verification via peer checks or ZK proofs

- Offers flexible consensus modules per task (e.g., weighted averaging, pBFT, RAFT, or ZK proofs), letting developers choose security vs performance balance per workload


XXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1945378804991713633/c:line.svg)

**Related Topics**
[gpu](/topic/gpu)
[theblessnetwork](/topic/theblessnetwork)

[Post Link](https://x.com/TinDinh2701/status/1945378804991713633)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

TinDinh2701 Avatar Tin Dinh @TinDinh2701 on x 2267 followers Created: 2025-07-16 07:03:45 UTC

How @theblessnetwork Dynamically Orchestrates Edge Compute

  • Uses a WASM secure runtime to sandbox tasks on user devices, ensuring isolation and consistent performance, even when your device is busy with other apps

  • Leverages Dynamic Resource Matching (DRM), an intelligent scheduler that considers CPU, GPU, memory, location, and uptime to assign the best suited nodes for each workload

  • Splits large jobs into parallel “micro tasks,” distributing them across devices and reassembling encrypted results, with verification via peer checks or ZK proofs

  • Offers flexible consensus modules per task (e.g., weighted averaging, pBFT, RAFT, or ZK proofs), letting developers choose security vs performance balance per workload

XXX engagements

Engagements Line Chart

Related Topics gpu theblessnetwork

Post Link

post/tweet::1945378804991713633
/post/tweet::1945378804991713633