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Edge Thunder

Fast, latency-free data processing at peak performance at the edge with Edge Thunder

Innovative Solutions at the Edge with Edge Thunder

  • Low Latency

    Strategically placed servers enable real-time data processing and lightning-fast response times. Critical decisions are made instantly and risks associated with delays are eliminated.
  • Regulatory Compliance

    Complies with even the strictest industry regulations with advanced security measures, access controls and data sovereignty. Full assurance that sensitive data is protected and regulatory requirements are complied with.
  • Scalability and Flexibility

    Easily adapts to changing workloads, enabling scaling of resources as needed and cost efficiency. Enables applications to run on any infrastructure, cloud, hybrid or local.
  • Versatile Support

    Supports a wide range of uses, including IoT applications, AI-powered analytics and more. It enables the development and implementation of a wide range of solutions across different industries and business areas.
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Various Use Cases of Edge Thunder

Edge Thunder is an innovative edge computing solution specifically designed for a wide range of use cases, from urban infrastructure to industrial automation, healthcare to retail. It delivers powerful and reliable performance even in areas remote from data centers, dramatically increasing efficiency and operational excellence across industries.
  • Application Modernization

    Application Modernization

    By using innovative technologies such as containerization and microservices architecture, a more agile and scalable system can be created, free from the constraints of monolithic applications.
  • Enhanced AR/VR Experiences

    Enhanced AR/VR Experiences

    Optimizes AR/VR experiences, making them more immersive and realistic. Seamless synchronization with low latency and high bandwidth. Delivers a VR/AR experience on any device by offloading heavy workload to the Edge.
  • Accelerate Your IoT Data

    Accelerate Your IoT Data

    It is an ideal platform for real-time data collection and analysis from IoT devices. Unlike traditional data centers, its proximity to data sources reduces latency, increases operational efficiency and enables better data-driven decisions.
  • Machine Learning and Artificial Intelligence

    Machine Learning and Artificial Intelligence

    It offers significant advantages over traditional cloud platforms by deploying machine learning and AI models directly at the edge of your network. It processes data close to the source, enabling faster predictions and modeling.

Superiority of Edge Thunder

Edge Thunder enables enterprises to reduce latency and increase performance for real-time applications using edge computing. This solution improves data security and scalability while increasing operational efficiency, enabling a faster and cost-effective infrastructure.
  • DT Cloud Platform Integration

    It works in integration with DT Cloud Platform, enabling businesses to use cloud resources more effectively and efficiently. You can take full advantage of all the benefits offered by cloud infrastructure.
  • Hybrid Cloud Environments

    It can also be used in private or hybrid cloud environments. You can increase your flexibility and scale as you need while maintaining your existing infrastructure.
  • Fast Response Times

    By enabling rapid deployment of your applications, it helps you respond immediately to customer demand and seize market opportunities.
  • Continuous Deployment and Management

    Automate the continuous deployment and management of your applications, accelerating the pace of innovation. You can quickly adapt to changing market conditions and customer demands.
  • Increased Efficiency

    It provides continuous monitoring and optimization of your applications, helping you make the most efficient use of resources.
  • Data Sovereignty and Security

    It stands out for its compliance with data sovereignty, security and privacy regulations. Your data is always secure and under your control.

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