@lareleem

Latency is physically bounded: light in fiber travels ~200 km in ~1 ms, so every extra hop/distance adds measurable delay. Putting compute closer to users = faster, smoother apps. How Fluence fits (why that matters): 👉🏼 Edge-first, decentralized compute: Fluence lets apps run logic on a distributed peer network instead of a single centralized cloud, so compute can execute nearer to users. 👉🏼 Lower latency & better UX: Fewer network hops = faster responses for real-time apps (multiplayer, streaming inference, collaborative tools). 👉🏼 Resilience & anti-censoring: No single provider to take down or censor your app; useful for open Web3 use cases. 👉🏼 Cost & efficiency trade-offs: Shared, peer-provided resources can reduce vendor lock-in and enable new pricing/incentive models (think tokenized compute like $FLT).

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