high throughput modular DA layer brings entirely new types of applications onchain! It unlocks data intensive applications like verifiable video processing on a verifiable Linux VM 👇
https://x.com/cartesiproject/status/1745175788826022289
Ethereum struggles with large data. Sending a 1MB video as calldata on Ethereum would cost ~$1000. We sent 1.4MB using Celestia, Python and OpenCV for video processing, Numpy handling the numeric arrays.
On the Cartesi Machine side, processing the video requires 213,811,019,324 RISC-V cycles. Optimistically considering the EVM's cheapest useful instruction (ADD) it would take ~71 hours on Ethereum (blocks every 12s) to get that amount of processing and would cost over $45M.
How do we unlock innovation?
To fully embrace the expressive, verifiable Linux VM's potential, high DA capacity is crucial. Enter Celestia, the key to unlocking innovative use cases. Check out the cone of innovation: https://x.com/cartesiproject/status/1745175794802962617
Cartesi + Celestia are exploring new avenues, experimenting in new areas together. Curious to read more about this integration? Check it out & run it locally yourself here: https://github.com/prototyp3-dev/video-processor
Retweet: https://x.com/cartesiproject/status/1745175788826022289
Diving more into the integration of Celestia’s DA layer with Cartesi, this great thread really creates a simplistic and educative outlook on the benefits. https://vxtwitter.com/cryptocyn/status/1745786709004935514?s=46&t=tt0vf2syxA00nU3tvp5kFQ
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