Solana validator network report

Solana Validator Countries Report

Explore Solana validator country and city distribution, network operator concentration, and geographic decentralization context.

Data source

Solana Gossip + vote accounts

Updated May 05, 2026, 04:16 PM UTC

Countries

41

Cities

103

Network operators

107

Geolocated

759/768

100%

Top countries by stake

Country-level stake concentration across geolocated validators.

0-100%

Top cities by stake

City-level clusters that can affect infrastructure diversity.

0-100%

Top network operators

Network organization concentration beyond country and city labels.

0-100%

AS16276 OVH SAS

34 validators

8.2%

6.9%

4.2%

AS396356 Latitude.sh

101 validators

4%

3.5%

3.2%

2.2%

2.2%

1.8%

1.7%

1.5%

UAB Cherry Servers

5 validators

1.2%

Latitude.sh

5 validators

1.1%

AS18450 WebNX, Inc.

24 validators

0.8%

0.7%

0.5%

AS44486 synlinq.de

10 validators

0.3%

Key signal

Country distribution

Country-level aggregation shows where validators and active stake are visibly concentrated across the network.

Key signal

City clusters

City and region clusters help separate healthy geographic presence from excessive reliance on a few locations.

Key signal

Network operators

Organization and ASN-style metadata adds another layer beyond country names when evaluating infrastructure diversity.

What this report answers

This page helps delegators, RPC teams, and researchers compare Solana validator countries, city concentration, and infrastructure diversity. Use the live validator table to filter the current country, region, city, and network rows.

How to read the data

Validators Solutions uses Solana Gossip and vote-account context to attach country, region, city, version, and network organization metadata to validator rows. Unknown or low-confidence locations should be treated carefully rather than turned into separate indexable pages.

How operators use it

Delegators can use geography to support underrepresented regions. RPC, stream, and application teams can use it to reason about placement, route quality, and whether infrastructure decisions are too dependent on one country, city, or network operator.