Why Execution Speed Means Nothing Without Storage Throughput
High execution speed is often treated as the main benchmark for blockchain performance. Transactions finalize quickly, blocks move fast, and parallel execution scales. But speed alone doesn’t define whether a system actually works at scale. What matters just as much is how quickly data can be stored, retrieved, and reused.
On high-performance chains like Sui, execution can finish in milliseconds, but applications still depend on data that lives beyond a single transaction. Large assets, media, models, and historical state cannot be pushed on chain without creating bottlenecks. If storage cannot keep up, fast execution simply moves the problem downstream.
This is where storage throughput becomes critical. Systems like @Walrus 🦭/acc complement fast execution by handling data at a scale and pace that matches modern application demands. When execution and storage are aligned, applications stay responsive and structured. When they aren’t, speed becomes an illusion.
In practice, real performance comes from balancing how fast systems compute with how well they handle data afterward.
