Advanced Edge Platform

Advanced Edge is a scale-out cluster solution built with three or more nodes for growing edge computing environments. It delivers both high availability and horizontal scalability, enabling node-level failover while allowing expansion of compute and storage capacity as application demands increase. With efficient resource utilization and built-in load balancing, Advanced Edge optimizes workload distribution for stable performance in larger-scale edge deployments.

Advanced Edge is based on the KS 3000U series, purpose-built for edge deployments. Powered by AMD EPYC™ 8004 Series processors, it delivers reliable compute performance for demanding edge computing workloads. With support for up to two NVIDIA GPU cards, it accelerates AI inference and real-time video analytics. Both rackmount and desktop model options are available to suit diverse deployment environments.

Compare Advanced Edge (Cluster)

High Performance

GPU Computing: KS 3000U supports up to 2 Nvidia GPU cards, making it well-suited for AI inference, real-time video analytics, and retail analytics at the edge.

High Computing Power: KS 3000U features up to 64-core CPU.

High-Speed Storage: Equipped with U.2 NVMe SSDs, KS provides storage delivering up to 1M IOPS, 26GB/s read, and 13GB/s write storage throughput performance for running applications.

Scalability

Expand compute nodes: Users can start with a three-node KS 3000U cluster and non-disruptively expand up to five nodes as compute demands grow. Adding one node at a time enables efficient resource scaling while maintaining optimal application performance.

Expand storage capacity: KS 3000U supports storage expansion, allowing connection to EonStor GS 2012RD.

Flexible Data Protection by Application

KS supports cross-node data replication (Replica x2) and allows replication to be configured individually for each application. Critical applications, such as manufacturing systems, databases, and CRM applications, benefit from replication to ensure optimal data protection. For less critical applications, such as non-production workloads, replication may not be necessary, allowing you to allocate resources where they are most needed. This approach provides greater flexibility in data protection management.

Backup and Restore

For greater flexibility, KS offers a backup of containers and VMs. By backing up all application data and settings, KS ensures consistency for containerized applications, helping enterprises maintain seamless operations.

Enterprises can streamline their data protection strategies with remote backup to cloud or remote storage. To improve backup efficiency, KS offers a variety of features, including scheduled backups, incremental backups, and a comprehensive monitoring dashboard to oversee backup status and ensure the process runs smoothly.

High Availability

KS is designed with automatic node failure detection and failover functions. The system can automatically detect node failures and quickly transfer applications to healthy nodes. With application protection, KS ensures that even in the event of a physical node failure, the application services continue to run without any downtime.

A faulty node can be completely removed from and rejoined to the cluster system after repair, without requiring system downtime. This greatly enhances availability and ensures the continuity of enterprise applications.

Automatic Scaling

KS can dynamically scale cloud-native applications across nodes according to real-time node load conditions. It achieves this by continuously monitoring the hardware load of computing nodes, including metrics such as CPU, GPU, memory, storage space, and network usage.

When computing demands for an application increase, the system reallocates resources by automatically scaling the application to underutilized nodes. Conversely, when the demand decreases, KS automatically downscales resources to optimize efficiency. This dynamic adjustment ensures consistent performance and efficient resource utilization.

Additionally, KS resolves a key auto-scaling challenge in the open-source Kubernetes version. For stateful applications that rely on databases, scaling is often problematic because data between nodes is not synchronized. Our solution allows stateful applications to scale seamlessly by storing data separately in external storage, ensuring consistent access and preventing data mismatches, even as the application scales.

AI Monitoring and Forecasting

EonSight is an AI-driven intelligent monitoring solution that provides comprehensive resource management from clusters down to individual nodes. The system automatically establishes performance baselines and conducts real-time deviation detection, enabling it to identify anomalies and trigger alerts in real time. The management system also features proactive prediction capabilities, forecasting system usage and offering recommendations for resource adjustments or expansion, allowing enterprises to take preventive measures before issues arise.

Optimized GPU Resource Utilization

GPU sharing for resource efficiency: This allows multiple applications to share the same GPU resources, enabling applications to compute simultaneously while dynamically adjusting GPU resources based on each application's needs.

GPU passthrough to boost performance: This allows VMs to directly access physical GPU resources, achieving performance nearly equivalent to running directly on the host. This feature addresses the typical limitations of VMs, where GPU performance is constrained by hardware virtualization. It significantly benefits GPU-intensive applications such as 3D rendering, machine learning, and HPC.

Application Market

KS offers an Application Market with applications across more than 10 categories, including manufacturing, IT services, AI/machine learning, big data, DevOps tools, e-commerce, and business applications, addressing the diverse needs of customers. Enterprises can also create custom applications on KS and share them across different departments, effectively reducing redundant work. Infortrend offers KS for running applications but excludes implementation services, requiring customers to build or deploy their own applications.

User-Friendly Management

KS offers a user-friendly solution for efficient management with EonOne and EonKube graphical user interfaces.

EonOne provides comprehensive hardware monitoring features to ensure smooth system operation and optimal performance. Additionally, it includes a simplified management interface, making it easy for IT staff to scale out computing nodes or expand external storage nodes.

EonKube is designed for application management, enabling enterprises to manage both containerized applications and virtual machines on a single platform. This facilitates a smooth transition to cloud-native architecture. The built-in Application Market provides applications across various fields, effectively addressing diverse business needs. With its intuitive GUI interface, users can deploy applications easily, eliminating the need for complex deployment files such as YAML. Additionally, EonKube comes with robust monitoring and security features, ensuring precise resource management and enhanced system performance.

Support for Cloud-Native and Traditional Applications

Run Different Application Types: KS provides a built-in Kubernetes platform for running cloud-native containerized applications. With a featured hypervisor, KS enables support for traditional applications, such as Microsoft applications, by running VMs. This allows enterprises to consolidate all workloads on a single platform.

Various OS Compatibility: KS supports various mainstream Windows and Linux versions, offering extensive operating system compatibility to meet diverse business and application needs.

Easy Deployment

KS features an intuitive installation wizard that guides users through the entire setup process, which can be completed in under 30 minutes. By streamlining the workflow and integrating hardware and network diagnostics, KS ensures a smooth and efficient deployment.