5G Standalone (SA) Core Network Locations
This dataset provides detailed, location-specific information on 5G Standalone (SA) core network element deployments, including AMF, SMF, and UPF placements across centralized, distributed, and edge facilities. It covers data center locations, cloud infrastructure types, and service-based architecture topologies, making it ideal for network planning, optimization, and regulatory compliance analysis.
Sample rows
preview · 8 of 500 rows · all 18 columns| network_element_idstring | network_element_typestring | is_activeboolean | placement_typestring | facility_idstring | facility_namestring | address_streetstring | address_citystring | address_statestring | address_postal_codestring | address_countrystring | latitudefloat | longitudefloat | cloud_infrastructure_typestring | cloud_providerstring | service_architecture_topologystring | deployment_datedate | operator_namestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AMF-CENT-NY-001 | AMF | false | centralized | DC-NY-01 | Metro NY Data Center | 123 Madison Ave | New York | NY | 10010 | USA | 40.741895 | -73.989308 | on-premises | blank | hub-and-spoke | 2018-03-12 | Telecom United |
| SMF-CENT-DE-001 | SMF | false | centralized | DC-BER-01 | Berlin Core Facility | Friedrichstrasse 45 | Berlin | BE | 10117 | Germany | 52.520008 | 13.404954 | on-premises | blank | mesh | 2019-07-24 | EuroNet |
| UPF-EDGE-MUM-001 | UPF | true | edge | EDGE-MUM-1 | Mumbai Edge Facility | 15 Bandra Kurla Complex | Mumbai | MH | 400051 | India | 19.0668 | 72.8506 | hybrid | AWS | hierarchical | 2022-01-15 | IndiCore Telecom |
| SMF-DIST-LON-001 | SMF | true | distributed | DIST-LON-1 | London West Cloud | 210 Oxford St | London | ENG | W1D 1NN | UK | 51.5144 | -0.1497 | public cloud | Azure | mesh | 2023-02-28 | BritTel Networks |
| UPF-CENT-TYO-001 | UPF | true | centralized | DC-TYO-01 | Tokyo Data Core | 2-1-1 Otemachi | Tokyo | TYO | 100-0004 | Japan | 35.6841 | 139.767 | on-premises | blank | hub-and-spoke | 2020-05-19 | JapanCore Telco |
| AMF-EDGE-PAR-001 | AMF | true | edge | EDGE-PAR-1 | Paris Edge Cluster | 10 Rue de Rivoli | Paris | IDF | 75001 | France | 48.8566 | 2.3522 | hybrid | GCP | mesh | 2022-08-03 | FranceNet |
| UPF-DIST-SAO-001 | UPF | true | distributed | DIST-SAO-1 | Sao Paulo Cloud Center | Av Paulista 1000 | Sao Paulo | SP | 01310-100 | Brazil | -23.5615 | -46.6559 | public cloud | AWS | mesh | 2021-03-27 | BrasilTel |
| SMF-CENT-SF-001 | SMF | true | centralized | DC-SF-01 | San Francisco Data Hub | 600 Market St | San Francisco | CA | 94104 | USA | 37.7898 | -122.4005 | on-premises | blank | mesh | 2019-10-11 | Telecom United |
| AMF-DIST-SYD-001 | AMF | true | distributed | DIST-SYD-1 | Sydney Distributed Node | 125 George St | Sydney | NSW | 2000 | Australia | -33.8675 | 151.207 | public cloud | GCP | hierarchical | 2021-11-20 | AusNet |
| UPF-EDGE-OSL-001 | UPF | true | edge | EDGE-OSL-1 | Oslo Edge Facility | Karl Johans gate 15 | Oslo | OSL | 0154 | Norway | 59.9139 | 10.7522 | hybrid | Azure | hierarchical | 2022-07-11 | NordicTel |
| AMF-CENT-DEL-001 | AMF | false | centralized | DC-DEL-01 | Delhi Central Facility | 22 Connaught Place | Delhi | DL | 110001 | India | 28.6304 | 77.2177 | on-premises | blank | mesh | 2020-02-10 | IndiCore Telecom |
| SMF-DIST-MAN-001 | SMF | true | distributed | DIST-MAN-1 | Manchester Cloud Node | 50 Piccadilly | Manchester | ENG | M1 2AF | UK | 53.4808 | -2.2426 | public cloud | AWS | mesh | 2023-03-04 | BritTel Networks |
| UPF-EDGE-MEL-001 | UPF | true | edge | EDGE-MEL-2 | Melbourne Edge Site | 10 Collins St | Melbourne | VIC | 3000 | Australia | -37.8136 | 144.9631 | hybrid | GCP | mesh | 2022-10-25 | AusNet |
| SMF-CENT-CHI-001 | SMF | false | centralized | DC-CHI-01 | Chicago Data Center | 500 S Clark St | Chicago | IL | 60605 | USA | 41.8767 | -87.6315 | on-premises | blank | hub-and-spoke | 2018-12-01 | Telecom United |
| AMF-DIST-HAM-001 | AMF | true | distributed | DIST-HAM-1 | Hamburg Distributed Facility | Mönckebergstrasse 18 | Hamburg | HH | 20095 | Germany | 53.5511 | 9.9937 | public cloud | Azure | hierarchical | 2021-06-13 | EuroNet |
| UPF-DIST-RIO-001 | UPF | true | distributed | DIST-RIO-1 | Rio Cloud Node | Rua da Carioca 35 | Rio de Janeiro | RJ | 20050-008 | Brazil | -22.9068 | -43.1729 | public cloud | AWS | mesh | 2021-04-09 | BrasilTel |
| AMF-EDGE-BOM-001 | AMF | true | edge | EDGE-BOM-2 | Mumbai II Edge Facility | 20 Nariman Point | Mumbai | MH | 400021 | India | 18.9261 | 72.8235 | hybrid | Azure | hierarchical | 2023-01-21 | IndiCore Telecom |
| SMF-CENT-AMS-001 | SMF | false | centralized | DC-AMS-01 | Amsterdam Core Hub | Damrak 80 | Amsterdam | NH | 1012 LP | Netherlands | 52.3738 | 4.8909 | on-premises | blank | hub-and-spoke | 2019-09-17 | DutchTel |
| UPF-EDGE-ANT-001 | UPF | false | edge | EDGE-ANT-1 | Antarctica Test Facility | NA | McMurdo | ANT | 00000 | Antarctica | blank | blank | on-premises | blank | blank | 2017-12-31 | PolarTestNet |
| SMF-DIST-DEL-002 | SMF | true | distributed | DIST-DEL-1 | Delhi Distributed Node | 44 Nehru Place | Delhi | DL | 110019 | India | 28.5546 | 77.2076 | public cloud | GCP | mesh | 2023-02-18 | IndiCore Telecom |
What the 500 rows show
from the 500-row sample- 74%is_
active = true - 3cloud infrastructure types
- 3cloud providers
- 3service architecture topologies
- 63address countries
- 110address cities
- string 14
- float 2
- date 1
- boolean 1
Columns
18 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
network_element_id | string | Unique identifier for the 5G core network element (e.g., AMF, SMF, UPF)unique | AMF-CENT-NY-001 |
network_element_type | string | Type of 5G core network element (e.g., AMF, SMF, UPF)AMF · SMF · UPF | AMF |
placement_type | string | Placement strategy for the network element (centralized, distributed, edge)centralized · distributed · edge | centralized |
facility_id | string | Unique identifier for the data center or facility where the network element is deployed | DC-NY-01 |
facility_name | string | Name of the data center or facility | Metro NY Data Center |
address_street | string | Street address of the facility | 123 Madison Ave |
address_city | string | City where the facility is located | New York |
address_state | string | State or province where the facility is located | NY |
address_postal_code | string | Postal or ZIP code of the facility | 10010 |
address_country | string | Country where the facility is located | USA |
cloud_infrastructure_type | string | Type of cloud infrastructure used (on-premises, public cloud, hybrid)on-premises · public cloud · hybrid | on-premises |
cloud_provider | string | Name of the public cloud provider (e.g., AWS, Azure, GCP) if applicable3 providers · optional | AWS |
service_architecture_topology | string | Description of the service-based architecture topology (e.g., mesh, hub-and-spoke, hierarchical)3 topologies · optional | hub-and-spoke |
operator_name | string | Name of the telecom operator managing the network element | Telecom United |
| Numbers 2 columns | |||
latitude | float | Latitude coordinate of the facility-90 to 90 · optional | 40.741895 |
longitude | float | Longitude coordinate of the facility-180 to 180 · optional | -73.989308 |
| Dates and times 1 column | |||
deployment_date | date | Date when the network element was deployed at the facilityoptional | 2018-03-12 |
| True or false 1 column | |||
is_active | boolean | Indicates if the network element is currently active | false |
Use it for
A telecommunications dashboard
The is_
active rate, is_ active by network_ element_ type and a breakdown of placement_ type. Excel, Power BI or Tableau. Why do 368 of 500 rows have is_
active = true? A class exercise
Hand out the rows and one question. Everyone works from the same 500 rows.
- Network elements500AMF-CENT-NY-001AMFUPF-EDGE-MUM-001UPFSMF-DIST-LON-001SMF
A software demo
Believable network elements with network_
element_ type, placement_ type and facility_ id to fill a screen in front of a buyer.
blueprint · 5g-standalone-sa-core-network-locations
Behind this dataset
Same schema. As many rows as you need.
These 500 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Network function instance ID (AMF, SMF, UPF, UDM, etc.)
- Deployment location: central data center, regional edge, far edge (MEC)
- Data center facility: operator-owned, colocation (Equinix, Digital Realty), hyperscale cloud
- Cloud infrastructure: bare metal, VMs (VMware, OpenStack), containers (Kubernetes)
- UPF placement strategy: centralized anchor, distributed (regional), edge (ultra-low latency)
- Service-based architecture: RESTful APIs, HTTP/2, OAuth 2.0 security
- Network slicing support and slice-specific NF instances
- Control and user plane separation (CUPS) for flexible scaling
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- 5g-standalone-sa-core-network-locations