Glassnode Latency Monitor — Real-Time Crypto Trading Infrastructure Latency

Live network latency from probes worldwide to crypto trading infrastructure and blockchains (Solana, SUI, Hyperliquid). Built for traders, HFT firms, market makers, and arbitrage operators choosing where to co-locate.

What we measure

Why infrastructure location matters

For trading firms racing to be first into a price move, physical distance to exchange matching engines and blockchain validators dominates total latency. A server in the wrong city can lose by tens to hundreds of milliseconds — enough to lose every arbitrage and MEV opportunity to better-located competitors. This site publishes the actual measured numbers, continuously, so operators can make data-driven hosting decisions instead of guessing.

Probe infrastructure

Probes deployed worldwide across Asia (Tokyo multi-AZ, Seoul, Hong Kong, Singapore), Europe (Amsterdam, Dublin, London, Frankfurt), the Americas (Ashburn, Ohio, Chicago, San Jose, São Paulo), and Oceania/Africa (Sydney, Johannesburg). Probes run on Fly.io and AWS bare-metal instances.

Best Colocation

Slot weighting is over the whole current epoch (the leader schedule for all 432k slots, ~2 days).
Probe latency is over only the last 90 minutes.

Unlike a fixed-destination exchange, Solana's leader rotates every 1.6 seconds across ~760 validators worldwide. Your latency to the network changes constantly — sub-millisecond when the leader is nearby, hundreds of milliseconds when it's across the globe. The weighted average reflects your expected latency across the full epoch, weighted by each validator's leader slot count.

Accurate for the current epoch (~2 days). For analysis across multiple epochs showing how colocation rankings shift over time, Glassnode historical data is available.

Weighted p99 is the stake-weighted p99 of each probe's handshake RTT to each validator over the last 90 minutes — the tail latency you should plan for, not just the median. Tail Gap is p99 − median; smaller is better (a tight distribution beats a slightly lower median with fat tails).

#LocationProviderWeighted AvgWeighted p99Tail GapMinp25p50p75p90<30ms<100ms