Edge AI Innovation with:
Scaleout Edge
A secure, lightweight platform that bridges the gap between cloud MLOps and edge computing.
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Why Leading Organizations Choose Scaleout Edge

Seamless Edge AI Development

Start innovating at the edge without infrastructure headaches. Our complete environment for developing, testing, and deploying AI solutions across your distributed infrastructure delivers 40% faster deployment cycles compared to custom-built solutions.

Built for Modern Edge Computing

Deploy anywhere - from powerful workstations to resource-constrained IoT devices. With support for diverse edge hardware including NVIDIA Jetson, Raspberry Pi, and mobile devices, Scaleout Edge has been battle-tested across 10+ industrial IoT installations in automotive and manufacturing.

Enterprise-Ready Security & Control

Rest assured with enterprise-grade security aligned with ISO/IEC 27001 requirements:

  • Role-based access control (RBAC)
  • Zero-trust authentication via JWT/OAuth2
  • NIST-recommended AES-256 encryption
  • 99.99% SLA-backed uptime
Flexible Integration

Bridge your centralized ML operations and edge deployment while reducing integration costs by 30-50%:

  • Seamless connection with existing MLOps tools
  • Integrated open-source environment featuring MLFlow, Jupyter, and TensorBoard
  • Perfect orchestration layer between cloud and edge

The Scaleout Edge Advantage

Fast Innovation Path

Launch quickly with public example projects supporting major ML frameworks (PyTorch, TensorFlow) and adapt them to your specific needs.

Privacy-First Architecture

Maintain data sovereignty by processing 75-95% of data locally, aligning with Gartner's edge computing projections.

Cross-Organization Collaboration

Enable secure data sharing and model training across organizational boundaries using advanced FedAvg and FedProx aggregation strategies.

Future-Proof Infrastructure

Built on FEDn - ranked top 3 in IEEE EdgeCom 2024 benchmarks for federated learning frameworks.

Solutions Tailored to Your Needs

For R&D Teams & Researchers

  • Access our library of 50+ examples for rapid prototyping
  • Achieve 60-80% cloud cost reduction through localized processing
  • Accelerate time-to-insight with ready-to-use templates

For Enterprise Innovation Labs

  • Build production-grade edge AI capabilities
  • Reduce WAN traffic by 40-70% with hierarchical aggregation
  • Scale seamlessly from prototype to production

For Internal Service Providers

  • Deliver managed edge AI infrastructure
  • Achieve <100ms inference latency
  • Optimize performance with automated model quantization
And so on with more text explaining the advantages of Scaleout Edge

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