Industries / Telecommunications
Add AI capacity directly to distributed network infrastructure.
Place dense compute at towers, edge nodes, and communications sites where latency, bandwidth, and physical footprint shape deployment.
How we help
Compute built for the network edge.
VectorEdge places dense GPU capacity inside cell-site or network-edge footprints, reducing the round trip to a centralized core.
Compute at the edge node
Place network optimization and edge-processing compute inside a cell site or edge node rather than a centralized core.
Lower latency
Process data at the point of generation to reduce the round trip to a distant core.
Fits existing sites
Deploy self-contained infrastructure inside existing cell-site or edge footprints without a dedicated data center.
Where it fits
Use cases closer to the point of need.
VectorEdge is designed to support demanding AI workloads where moving every byte and every decision back to a distant cloud is not the best operational fit.
Example workloads
- Network optimization
- Edge processing
- Local processing at the point of data generation
- AI compute inside cell-site and edge-node footprints
Deployment realities
Built for environments that do not look like a datacenter.
Absolute Edge Technologies helps organizations evaluate the right VectorEdge configuration around the workload, physical environment, connectivity, and deployment constraints.
What changes at the edge
- High-density compute inside existing edge footprints
- Lower-latency processing closer to network infrastructure
- No dedicated data center required
- Ruggedized, liquid-cooled architecture that operates without external HVAC
VectorEdge Carbon
Up to 4× NVIDIA H200 NVLs in a compact platform designed for high-density AI compute closer to the edge.
View platform details →VectorEdge Large
24+ NVIDIA H200 NVLs for larger deployments that need substantially more local GPU capacity.
View platform details →Move AI closer to the network edge.
Tell us about the environment, workload, and deployment constraints. We can help you identify the right VectorEdge configuration.