@Dusk_Foundation #dusk
I used to think Dusk’s privacy was mostly a transaction-design problem. The more I look at the network, the more the proving layer stands out.

Phoenix needs zero-knowledge proofs, but someone still has to do the heavy computation behind those proofs. Dusk separates that work through dedicated Prover infrastructure instead of making every part of the network carry the same computational load. 🔐

What caught my attention is that ZK proof generation is computationally intensive and largely single-threaded, so Dusk’s documentation emphasizes strong single-core performance for Provers. A basic Prover setup starts around 4 cores, 8 GB RAM and 20 Mbps, while additional workers can run in parallel.

That creates an interesting architecture trade-off.

Consensus needs to stay responsive, while privacy proofs need enough computation to finish efficiently.

So privacy here isn't just “hide the transaction.”

It also becomes a question of where the computation happens, who performs it, and whether that workload can scale without becoming the bottleneck.

That’s the part I find more interesting than the privacy label itself.

Do you think ZK proving capacity could become one of the real performance constraints for Dusk as usage grows?
$DUSK $PORTAL $DOLO
What could become Dusk’s bigger bottleneck as usage grows?