Put inference at the cell site.
Edge AI and GPU systems for operators running AI at the cell site, the street cabinet and the central office.
The constraint
Operators own the most distributed real estate there is: towers, cabinets and central offices close to every user. Running AI there cuts latency for customers and keeps network data in-house, but those sites bring tight limits on power, space and cooling. Edge hardware has to fit the site, not the other way round.
Workloads
Edge inference services
Host low-latency AI services for enterprise customers from cell sites and central offices, as part of a multi-access edge computing offer.
Network analytics & optimisation
Train models on traffic and fault data to predict congestion, spot anomalies and plan capacity.
Operator copilots
Serve private LLMs to NOC engineers and customer-care teams over runbooks, tickets and network documentation.
Systems
- GLabs Edge AI — compute at the cell site and street cabinet.
- GLabs GPU Servers — central office and regional nodes, plus model training.
- GLabs Vault — network telemetry and training data.
Deployed with
GLabs AI Stack, from central training to edge serving.
Related solutionsSelf-Hosted LLM InferenceGLabs Edge AI
FAQs
What is AI-RAN?
AI-RAN runs the radio access network's signal processing on GPU-accelerated servers, so the same hardware can also carry AI workloads when radio demand is low. Operators are trialling it as a way to earn more from cell-site infrastructure.
Can GPU hardware fit cell-site power and space limits?
We specify edge systems against each site's power budget, rack space and cooling, and choose GPUs for performance per watt rather than peak performance.
Why serve operator copilots on-premises?
Network topology, customer records and incident data are sensitive and often regulated. Serving models on your own infrastructure keeps that data inside the operator.
What runs at the edge and what runs centrally?
Latency-sensitive inference runs at the cell site or central office. Model training and heavy analytics run in a regional data centre, where data from many sites can be pooled.
Tell us your site constraints. We'll fit the compute to them.
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