Standalone Edge Platform

Standalone Edge is a single-node edge computing platform designed for environments that prioritize operational simplicity, fast deployment, and cost efficiency. The platform delivers high-performance compute with support for up to 2 CPUs and 4 GPUs, making it suitable for workloads such as AI inference, video analytics, retail operations, and industrial edge applications. Available in a compact, office-friendly design and optional low-noise chassis, it is ideal for branch offices, remote sites, retail stores, and smaller edge environments with lean IT resources.

Standalone Edge solution is built on two hardware series: power-efficient KS 3000U suitable for space-constrained edge environments and high-performance KS 5000U ideal for compute-intensive workloads.

Supporting Intel® Xeon® and AMD EPYC™ processors, the lineup delivers scalable compute configurations from 16 up to 320 CPU cores, with support for up to four GPUs. Flexible deployment options include both rackmount and desktop form factors for diverse edge applications.

KS 3000U

KS 3000U is ideal for space-constrained and power-limited edge environments, delivering a balance of performance, power efficiency, and cost-effectiveness. Powered by a single AMD EPYC™ 8004 Series processor, it is optimized for AI inference, real-time video analytics, retail operations, and other edge workloads. The series includes two models:

• KS 3004U – Compact short-depth rackmount platform for AI inference and video analytics
• KS 3004UE – Low-noise platform designed for office and retail environments

KS 5000U

KS 5000U is designed for compute-intensive and large-scale edge workloads. Powered by dual Intel® Xeon® Scalable or AMD EPYC™ 9004/9005 Series processors, it supports up to 320 CPU cores and four GPUs per node, delivering exceptional compute density, scalability, and acceleration for AI and data-intensive applications. The series includes three models optimized for different workload requirements:

• KS 5008U – GPU-centric platform for AI training, generative AI, and 3D rendering
• KS 5016U – Balanced platform combining dual-processor performance with 16 NVMe bays for AI and smart manufacturing
• KS 5024U – Storage-optimized platform for databases, CRM systems, and data logging

Compare Standalone Edge

High Performance

GPU Computing: Supports up to 4 GPUs, ideal for retail and general AI applications.

High Computing Power: Delivers up to 320 CPU cores for compute-intensive edge workloads.

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.

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.

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.