Walrus claims to build a decentralized memory network, with lofty ideals. But when monitoring data is examined, the node ecosystem is extremely fragile under real pressure.

According to community monitoring statistics, by January 2026, there will be approximately 620 active nodes across the Walrus network. It sounds acceptable, but a deeper look reveals problems. Among these nodes, 63% are hosted by the three major cloud providers AWS, GCP, and Azure; the geographic distribution is even more outrageous, with 78% of nodes concentrated in North America and Western Europe.

This highly centralized architecture poses huge risks. Users from Asia, Africa, and South America experience subpar access speeds. Actual measurement data shows that domestic users pulling a 10MB Blob take an average of 12 seconds. The truly frightening part is that if AWS us-east-1 experiences an outage or receives a legal removal order, a large number of shards will fail simultaneously. This is not decentralization; it’s just "beautiful distributed hosting."

A more realistic issue is node offline rates. Due to minimal incentives—estimated monthly earnings are less than $5 per TB—nodes are mainly run by enthusiasts on a temporary basis. As a result, online rates can reach 90% on weekends but drop sharply to 60% on weekdays. The effective redundancy of cold blobs fluctuates dynamically, and rebuild success rates become unstable, which clearly does not meet the basic requirements of storage protocols.

Red Stuff coding theoretically only requires 30% of shards to rebuild, which sounds okay. But the premise is that shards are evenly distributed. In reality? New blobs are often prioritized to popular nodes, resulting in shard clustering on those few nodes. Think about it—if these nodes all go offline simultaneously—say, due to cloud billing overdue—even if the total number of nodes across the network meets the standard, specific blobs will still be lost.

The most ironic part is that there is no punishment mechanism at all. Nodes can selectively serve hot data and ignore cold requests, and the protocol is powerless to prevent this. Comparing this to Filecoin’s pledge penalties and Arweave’s block reward binding mode, Walrus’s approach seems too lax.

In short, Walrus’s decentralization is still at the "distributed" stage, far from a truly resilient P2P network. It appears stable under normal conditions, but once faced with censorship pressure, system failures, or economic difficulties, its resilience becomes questionable.

The essence of decentralization is not the number of nodes, but whether it can resist single points of failure. Walrus currently falls short in this most critical dimension.