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Edge compute & AI

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Technologies
The technologies behind edge compute & AI.

Every technology this platform builds with, layer by layer, from the open taxonomy. Marked in red: what is moving now, each traced to its source.

Plan with usArchitecture

Areas · 5 Technologies · 130 Industries · 8

01The layered map

Layer by layer, from the open taxonomy.

Each domain this platform draws on, with its layers and the technologies in each. Open a layer for what each technology does and the standard behind it.

Compute and edge

Compute placed where data is produced and decisions are needed: the device, far, near and regional edge tiers, multi-access edge computing, modular edge data centres including the AI tower in a box, servers and accelerators, storage, power and cooling, ruggedisation, fleet orchestration, OTA and GitOps, and the hardware trust that makes remote sites safe to run.

The full directory →

Edge tiers and multi-access edge computing

Technologies · 9 · Frontier · 1

  • Device edge
  • Far edge
  • Near edge
  • Regional edge
  • MEC application enablement
  • MEC service APIs
  • Application mobility and edge federation
  • Edge-cloud continuum
  • Data residency and jurisdiction controls

Modular edge data centres and the AI tower in a box

Technologies · 8

  • AI tower in a box
  • Prefabricated and containerised modules
  • Telecom and IT power systems
  • Renewable and hybrid microgrids
  • Physical security
  • Fire detection and suppression
  • Northern and permafrost site design
  • Commissioning and site acceptance

Servers and accelerators

Technologies · 8 · Frontier · 1

  • Short-depth and ruggedised edge servers
  • GPUs
  • NPUs and inference accelerators
  • FPGAs
  • DPUs and SmartNICs
  • Memory and interconnect
  • Chiplets and die-to-die interconnect
  • Out-of-band management

Storage and edge data management

Technologies · 6

  • NVMe and NVMe over Fabrics
  • Object and file storage at the edge
  • Storage security and media sanitisation
  • Buffering for intermittent links
  • Time-series and geospatial data stores
  • Replication, backup and retention

Cooling and ruggedisation

Technologies · 10 · Frontier · 1

  • Air cooling and containment
  • Direct-to-chip liquid cooling
  • Single-phase immersion cooling
  • Two-phase immersion cooling
  • Free cooling and heat reuse
  • Ingress protection and enclosures
  • Environmental testing
  • Hazardous locations
  • Substation, rail and industrial environments
  • Electrical safety of equipment

Kubernetes and fleet orchestration

Technologies · 8

  • Kubernetes at the edge
  • Fleet and multi-cluster management
  • Bare-metal and zero-touch provisioning
  • Network function orchestration
  • Accelerator scheduling and sharing
  • Observability
  • Disconnected and intermittent operation
  • Container security and multi-tenancy

OTA updates, GitOps and software supply chain

Technologies · 8

  • GitOps
  • Secure update frameworks
  • Device management
  • Firmware resiliency and recovery
  • Software bills of materials
  • Build provenance
  • Secure development for industrial components
  • Staged rollout and rollback

Confidential computing and hardware trust

Technologies · 8 · Frontier · 2

  • Trusted execution environments
  • Remote attestation
  • Device identity and roots of trust
  • Secure and measured boot
  • Key management and hardware security modules
  • Confidential AI on accelerators
  • Zero trust at the edge
  • Post-quantum readiness for edge fleets

AI systems

AI from model to accountable operation: edge inference and model optimisation, foundation models for Earth observation and geospatial work, time-series and sensor AI, multimodal fusion and supervised agentic operations, federated and privacy-preserving learning, physical AI and robotics within stated red lines, MLOps, evaluation and model risk, and the governance frameworks that apply to each.

The full directory →

Edge inference, model serving and optimisation

Technologies · 10 · Frontier · 1

  • Embedded and on-device inference
  • Edge server inference
  • Quantisation
  • Distillation, pruning and sparsity
  • Compilers and runtimes
  • Serving: batching, caching and scheduling
  • Parameter-efficient fine-tuning
  • Energy-aware inference
  • Split and collaborative inference
  • Safety-related inference

Foundation models for Earth observation and geospatial

Technologies · 9 · Frontier · 3

  • EO foundation models
  • Training data and labels
  • Land cover and change detection
  • Hazard and exposure mapping
  • SAR interferometry and deformation analysis
  • Geospatial embeddings and similarity search
  • Super-resolution and gap filling
  • AI weather and climate emulators
  • Geospatial model metadata

Time-series and sensor AI

Technologies · 8 · Frontier · 1

  • Anomaly detection on sensor streams
  • Forecasting and nowcasting
  • Predictive maintenance
  • Sensor quality control and drift correction
  • Seismic and acoustic event detection
  • Hydrological time series
  • Network telemetry analytics
  • Virtual and soft sensors

Multimodal fusion and agentic operations

Technologies · 7 · Frontier · 3

  • Multisensor fusion
  • Geospatial knowledge graphs
  • Retrieval and grounding on governed data
  • Supervised agentic operations
  • Intent-driven operations
  • Tool permissions and action limits
  • Digital twins of sites and networks

Federated and privacy-preserving learning

Technologies · 7 · Frontier · 1

  • Federated learning across sites
  • Federated learning in 5G systems
  • Differential privacy
  • Secure aggregation and multiparty computation
  • De-identification
  • ML in future networks framework
  • Synthetic data

Physical AI and robotics (within red lines)

Technologies · 7 · Frontier · 2

  • Drones for site survey and sensor placement
  • Inspection robots for sites and facilities
  • Collaborative robots
  • Functional safety of AI-enabled machines
  • Simulation and sim-to-real transfer
  • Embodied foundation models
  • Red lines: no weapons, targeting or unlawful tracking

MLOps

Technologies · 7

  • AI system lifecycle processes
  • Data quality management
  • Experiment tracking and reproducibility
  • Continuous training and deployment to edge fleets
  • Drift and performance monitoring
  • Model and dataset bills of materials
  • Model provenance and signing

Evaluation, model risk and AI governance

Technologies · 10

  • Performance evaluation
  • Robustness testing
  • Bias assessment
  • Adversarial testing and red-teaming
  • Uncertainty and calibration reporting
  • Model risk management
  • AI management system
  • AI risk management
  • AI impact assessment
  • Regulatory and policy alignment

02Across the network

The whole spectrum, on the main site.

Main site

Every technology domain

All domains, layers and items, with their sources.Open →
Main site

The spectrum

The technologies of observation on one map.Open →
Observatory Protocol

Standards

The open standards the protocol is composed from.Open →

03On this site

Where to go next.

Edge compute & AI

Areas

Every area, with its systems and standards.Open →
Edge compute & AI

Architecture

Layers, functions and evidence.Open →
Edge compute & AI

Industries

The industry sites built on this platform.Open →
Edge compute & AI

Resources

Explainer, stories, specification and forms.Open →

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The technologies behind edge compute & AI.

Bring us the site.

We bring the survey, the design and the crew. The form names who receives your details.