SmallSpark’s Edge Infrastructure Management service ensures your machine learning models run flawlessly in any environment—whether you’re deploying new hardware or integrating with existing infrastructure. We provide end-to-end guidance covering both hardware and software essentials, so you can focus on delivering results rather than wrestling with technical overhead.
What We Offer:
- Architecture & Hardware Selection: Our team works closely with you to evaluate performance, power usage and cost considerations—ensuring the chosen solution meets your operational needs, whether you’re adopting AXON edge devices or leveraging third-party systems.
- Integration & Legacy Optimisation: We streamline deployments into existing workflows and platforms. For older or proprietary setups, we help modernise components to improve resilience and reduce running costs.
- Scalable & Secure Software Foundations: From networking protocols to container orchestration, we set up robust, secure frameworks that support real-time data processing and model updates at the edge.
- Monitoring & Lifecycle Management: Enjoy continuous visibility into device health and performance via the CORTEX platform, complete with proactive maintenance and rapid issue resolution.
- Compliance & Risk Mitigation: For industries such as defence or healthcare, our solutions incorporate advanced security measures and regulatory compliance from day one.
By combining specialised hardware expertise with best-in-class software practices, our Edge Infrastructure Management service simplifies deployment, boosts uptime and unlocks maximum value from your machine learning models—no matter how harsh or distributed your operating environment. Get in touch to discover how we can tailor a resilient, scalable edge infrastructure for your organisation.