Unlocking AI Innovation Potential

In the modern era of Artificial Intelligence (AI), startups and enterprises are increasingly adopting AI technologies to create new revenue streams and improve operational efficiency. Innovative AI-driven ideas and applications are flourishing across industries as organizations look to build their own AI platforms. Their goal is to integrate AI applications or develop custom AI models more efficiently, cutting down on time and costs while maximizing flexibility and return on investment.

The Infortrend Enterprise Cloud (IEC) is a hyper-converged cloud management platform that provides AI computing, storage, and software application capabilities for enterprises. Designed with high performance, reliability, and scalability, the IEC platform enables organizations to adopt AI applications, prepare data, and develop AI models. It also facilitates the deployment of open-source tools throughout the entire AI project lifecycle, accelerating the time to market for innovative AI solutions.

The IEC is an all-in-one cluster platform solution that seamlessly integrates hardware, firmware, and software with a built-in open-source application marketplace featuring a wide range of AI tools. It significantly streamlines infrastructure resource provisioning and application deployment, reducing the complexity of AI solution implementation and adoption. By eliminating the need for extensive tasks such as setting up infrastructure servers, configuring GPU cards, and evaluating software tools for specific use cases, it enables enterprises to quickly adapt to technical requirements and effectively address business challenges.

Simplified and Cost-Saving AI Application Development and Deployment

The IEC platform is an all-in-one resource pool that remains in a ready-to-deploy state, allowing enterprises to effortlessly develop and deploy AI tools, such as natural language processing (NLP), multimedia content generation, AI model construction, and model inference—all through a unified management console. With GPU sharing and pass-through technologies provided by the IEC platform, AI applications can efficiently utilize GPU capacities and compute resources while maximizing cost-efficiency.

Seamless Enterprise System Integration

Enterprise application systems require diverse computing and storage resources, often with varying hardware specifications and system architectures. These complexities lead to high management and operational costs. The IEC platform centralizes the management of enterprise hardware and software systems, enabling seamless connectivity and integration across various enterprise applications. By utilizing containerized applications and virtual machines (VMs) in the central platform, IEC minimizes integration efforts compared to traditional system integration methods.

Integrity and Reliability for System Operations

Maintaining a high Service Level Agreement (SLA) and ensuring continuous operation of enterprise applications can be challenging. The IEC platform includes built-in features such as workload auto-recovery and data replication, ensuring system reliability and the security of data assets over time—resulting in zero system downtime and no data loss.

Scalability for Business Growth

To maximize Return on Investment (ROI) in enterprise infrastructure, the IEC platform supports one-node deployment during the initial stages of implementation, allowing businesses to deploy manufacturing and enterprise applications across various production stages. As business demands increase, the platform can seamlessly scale up by adding up to 20 nodes without disrupting operations, meeting growing computing and storage requirements efficiently.

Data Privacy and Compliance

The IEC platform operates as a private cloud cluster within the customer’s on-premises environment, directly integrating with existing IT infrastructure, including network and authentication services. All enterprise and AI-related systems, along with their data, remain within the customer’s data center, ensuring data privacy and regulation compliance with Cybersecurity Law and GDPR.

The IEC platform offers KS compute nodes, which come in three model types, featuring dual Intel Xeon Scalable CPUs or AMD EPYC^™ 9004 Series CPUs and configurable options for GPUs and U.2 NVMe SSDs, allowing enterprises to select the model that best fits their application needs. All KS models are designed in a 2U rack mount chassis and support 25GbE and 100GbE network interfaces.

• KS 5008U for GPU-intensive tasks: Supports up to 4 high-performance Nvidia GPU cards and 8 SSDs. This model is ideal for AI deep learning and high-performance computing workloads.
• KS 5016U for various AI data services: Supports 2 Nvidia GPU cards and 16 SSDs, providing efficient performance suitable for AI inference.
• EonStor GS 4090 G3 for AI data storage: With a high-density 4U 90-bay design, it provides massive capacity for large datasets while offering high-speed data access and advanced data protection to ensure high availability and reliability for complex computational tasks.

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The IEC platform is a pre-configured hardware and software solution that delivers powerful AI computing, data storage, and AI application development capabilities for businesses of all sizes, from startups to Very Large Enterprises (VLE). It simplifies the entire AI workflow, including application development and deployment, training data preparation, model training, tuning, generation, and inference, helping enterprises accelerate AI innovation and achieve business strategic goals.

Simple and Flexible AI Infrastructure and Application Deployment

Enterprises rely on infrastructure services such as user authentication (AD), communication (Email), database systems (SQL), secret store (vault) and file storage (NAS) to support their applications. However, setting up AI-related tools for development, deployment, and operations often involves complex configurations, making the process repetitive, time-consuming, and requiring significant resources for each new AI application.

By implementing the IEC compute node—KS 5016U and EonStor GS 4090 G3 unified storage, enterprises can centralize infrastructure services and AI tools within a single platform. This enables seamless deployment of essential AI tools such as GitLab (source code management), ArgoCD (automation), Airbyte (training data ETL), Spark (big data store), RAGFlow (knowledge learning), and NVIDIA Triton (inferencing)—all with significantly reduced cost, time, and effort.

Solution Advantages

• Built-in Enterprise-Scale Applications: KS 5016U comes with pre-integrated enterprise-scale software applications, enabling the setup of infrastructure services and operational systems and simplifying de-ployment and maintenance.
• Support for Traditional and New Applications: KS 5016U supports running traditional applications on VMs, allowing both legacy and modern applications to be consolidated on a single platform.
• Flexible Database Support: KS 5016U is compatible with various data-base systems to address the diverse data storage requirements within the enterprise, including SQL, NoSQL, and big data solutions.
• High-Performance Data Processing and Backup: KS 5016U is equipped with 16 NVMe SSDs for fast data processing, while GS unified storage utilizes SAS HDDs for data backup and replication, ensuring data protection and seamless accessibility.

Lowering the Barriers to Enterprise AI Application Adoption

Adopting AI solutions within an organization requires the integration of hardware, data storage, and application tools to effectively deploy and run AI applications. However, AI applications are often difficult to evaluate, test, and install in a self-managed data center due to the diverse technologies involved, e.g., RAGFlow and Dify for online chatbot services, ComfyUI and IOPaint for multimedia content generation, and JupyterHub and Kubeflow for development. The challenges of surveying, evaluating, learning curves and maturity of these technologies often hinder the adoption of AI applications across various AI projects within the organization, slowing down the progress.

Companies can leverage the IEC compute node—KS 5008U with EonStor GS 4090 G3 unified storage to create a reliable enterprise AI platform. This combination enables organizations to roll out AI applications for new business models and revenue streams. Additionally, KS 5008U provides essential tools for data management (MongoDB, ClickHouse), data lakes (Cassandra, MinIO, Dremio), and data integration (Kafka, Redis), which serve as foundational components for AI applications.

Solution Advantages

• Rapid Deployment with Open-Source Application Marketplace: KS 5008U features a built-in open-source application marketplace, enabling quick and easy deployment of applications for immediate use.
• Optimized Utilization of Computing Resources: KS 5008U utilizes container clustering along with GPU sharing and pass-through technol-ogies to maximize the utilization of computing resources.
• High Availability and Scalability: KS 5008U runs applications in con-tainerized environments with auto-failover and auto-scaling capabilities, ensuring continuous operation and service availability.
• Legacy System Integration and Data Consolidation: KS 5008U supports VM versions of applications, enabling the migration of legacy system data into a centralized platform to simplify system inte-gration and data consolidation.
• Massive Data Storage and Protection: EonStor GS 4090 G3 unified stor-age offers vast data storage capacity while automating data replication and protection, ensuring the security and integrity of business data as-sets.
• Seamless Scalability with Business Growth: To meet the growing de-mands of the business, KS 5008U and EonStor GS provide scalability without any system downtime.

Enhanced Customer Service Quality with AI Chatbot Services

AI chatbot services are increasingly utilized by service providers to improve customer service quality and experience. These chatbots leverage AI and Natural Language Processing (NLP) technologies to automatically generate responses, providing instant answers to customer questions and inquiries. AI chatbots are especially valuable in areas such as product introductions, customer technical support, and personalized marketing, where they can automatically deliver customized content.

Enterprises can build and deploy these AI services using the IEC compute node—KS 5016U, which offers high-performance computing capabilities with GPU support for AI applications, combined with EonStor GS 4090 G3, a storage solution that efficiently handles large volumes of training data.

Solution Advantages

• Simplified Chatbot Deployment: KS 5016U simplifies the deployment of AI-powered chatbots by providing the containerized RAGFlow open-source tool, allowing businesses to quickly set up a chatbot environment and significantly lowering the barriers to implementing these services.
• High Availability and Reliability: By operating in cluster mode with automatic failover capabilities, KS 5016U ensures continuous chatbot service, even during node failures.
• Storage with High Performance and Capacity: EonStor GS 4090 G3 offers high performance and large storage capacity, providing reliable storage for AI training models while ensuring the security and integrity of business data.