Run the network edge like one machine.
EdgeFyio gives telcos, ISPs and GPU providers a single control plane to deploy, scale and observe workloads across thousands of edge sites — from the core to the cell tower.
Purpose-built for North America's leading telcos, ISPs & GPU clouds
Representative target operators — shown to illustrate who EdgeFyio is built for.
One control plane for the entire edge
Everything operators need to turn distributed infrastructure into a programmable, reliable fabric.
Fleet orchestration at the edge
Schedule containers and VMs across thousands of heterogeneous sites with location-aware placement, automatic failover and zero-touch rollout.
Real-time observability
Stream metrics, traces and logs from every node into one timeline. Latency, jitter and packet-loss SLAs tracked per region.
Carrier-grade security
mTLS everywhere, hardware root-of-trust attestation and policy-as-code guardrails that meet telco compliance out of the box.
Autoscaling that follows demand
Capacity tracks subscriber load in real time — spin workloads up at the busy tower, scale to zero where it is quiet.
From bare metal to live in four steps
Connect sites
Register edge hardware with a single token. The EdgeFyio agent self-enrolls and reports capacity in seconds.
Define workloads
Describe services declaratively. Set placement rules by region, latency budget, or hardware class.
Roll out globally
Ship to the whole fleet or a canary slice. Progressive delivery with automatic rollback on SLA breach.
Observe & optimize
Watch live traffic, latency and cost per region. Let autoscaling tune capacity to real subscriber demand.
See your whole network, live
A real-time map of every site, link and workload. Drill from a continent down to a single rack without losing context.
- Geo-aware fleet map with health, load and version per node.
- Dependency graph showing how workloads route across the edge.
- One-click drill-down from region to rack to container.
Ship to the edge with confidence
Progressive rollouts, automatic canaries and instant rollback. Every change is observable before it reaches production scale.
- Canary by region — validate on 1% of towers before fleet-wide.
- SLA-gated promotion halts rollout automatically on regression.
- GitOps native — every deploy is versioned, auditable, reversible.
One edge platform, three kinds of operator
EdgeFyio is purpose-built for the teams that run distributed infrastructure and need to put compute close to users.
Telco operators
Run 5G core, RAN and value-added services at the cell edge with the latency budgets real-time demands. Treat thousands of tower and MEC sites as one cluster.
5G · MEC · RANISPs & broadband
Push CDN, security and subscriber services out to regional POPs and head-ends instead of hauling every packet back to the core.
POPs · CDN · head-endsGPU & AI inference providers
Place GPU capacity close to users and orchestrate low-latency inference across distributed edge sites — with utilization, throughput and cost visible per node.
Edge inference · GPU schedulingBe ready for launch day
EdgeFyio goes live June 21, 2026. Book an early demo now and our solutions team will scope a pilot on your network before then.