Unlocking AI Innovation Potential

In the era of Artificial Intelligence (AI) innovation, 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 seek to build their own AI platforms to achieve greater business success. In this context, the key priority is to integrate AI applications or develop custom AI models more efficiently, reducing time and costs while maximizing flexibility and return on investment.

Addressing these needs, the Infortrend Enterprise Cloud (IEC) offers a private cloud platform solution providing enterprises with AI computing, storage, and software application capabilities. Designed with high performance, reliability, and scalability features, the IEC platform enables organizations to adopt generative AI applications, prepare data for inference, perform model tuning, and even develop custom 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 computing resource orchestration and application platform solution that seamlessly integrates hardware and software applications, featuring a wide range of AI tools to simplify the adoption of enterprise AI solutions. It significantly streamlines infrastructure resource provisioning and application deployment, reducing the complexity of AI solution implementation by eliminating the need for extensive tasks such as setting up infrastructure servers, configuring GPU cards, and evaluating software tools for specific use cases. This enables enterprises to quickly adapt to technical requirements and address business challenges.

Simplified AI Application Development and Deployment

The IEC is an all-in-one resource platform that provides computing, storage, and application tools, enabling enterprises to easily develop and deploy AI applications such as large language model (LLM) inference, multimedia content generation, AI agent services, and custom AI model development and tuning—all through a unified management console.

Optimization of GPU Utilization Efficiency

The IEC platform leverages GPU virtualization technology to significantly enhance GPU utilization efficiency, enabling multiple applications to dynamically share GPU capacity based on each application’s resource needs. For compute-intensive workloads, the IEC platform supports passthrough technology, granting applications full access to GPU resources to maximize performance and computational efficiency.

Centralized Enterprise System Management and AI Integration

The IEC platform centrally manages enterprise hardware and software systems, enabling seamless connectivity and communications between various enterprise applications within the same network environment. It allows AI services and enterprise systems to share computing and storage resources while also simplifying cross-system data sharing and access. This significantly reduces the complexity of cross-system integration and accelerates the development of AI applications.

Reliability and Continuity of Business Services

The IEC platform comes with built-in features such as node failure protection, automatic workload recovery, resource orchestration, and data replication within the cluster, ensuring system reliability and continuous availability of both service and data, thereby maintaining the uninterrupted operation of enterprise-critical services over time.

Scalability for Business Growth

The IEC platform is designed to scale out along with business growth, allowing enterprises to deploy a cluster and applications based on their initial requirements. As business demands increase, the platform can seamlessly scale out by adding more nodes without disrupting operations, efficiently meeting growing computing and storage requirements.

Data Privacy and Regulatory Compliance

The IEC platform operates as a private cloud platform within the customer’s on-premises environment, directly integrating with existing IT infrastructure, including network and authentication systems. All enterprise and AI-related systems, along with their data, remain within the enterprise data center, ensuring compliance with enterprise internal data policies and data privacy regulations such as 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 SSD / HDD storage, 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 4000 G3 for AI data storage: With massive capacity, high-speed data access, and advanced data protection, the GS 4000 G3 ensures reliability and high performance for complex computing workloads.
• EonStor GS 5000U for High Throughput Performance: With exceptional data transfer speeds of up to 50GB/s, the GS 5000U is an ideal choice for demanding AI workloads.

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AI Chatbot Services for Enhancing Customer Service

Service providers are increasingly turning to AI chatbot solutions to enhance the customer service experience. Powered by advanced technologies like large language models (LLMs), these chatbots deliver real-time, automated responses that reduce wait times and lighten the load on support teams. They are particularly effective in scenarios such as product introductions, technical troubleshooting, and personalized marketing, where they provide relevant, tailored interactions that improve customer engagement and satisfaction.

To build and deploy these AI-driven services, enterprises can leverage the IEC compute node KS 5016U, which provides high-performance computing capabilities with GPU support for AI workloads. Combined with the EonStor GS HDD storage solution, this infrastructure ensures efficient management and processing of large-scale training data, enabling easy development and deployment of AI chatbot services.

Solution Advantages

• Simplified Chatbot Deployment: The KS 5016U streamlines LLM-based chatbot implementation with containerized inference tools like RAGFlow and Dify. This significantly lowers deployment barriers and enables faster rollout of chatbot services for enterprises.
• 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.
• High Availability and Reliability: KS 5016U orchestrates enterprise application services with automatic failover capabilities, ensuring continuous application operation and service delivery, even during node failures.
• Storage with High Performance and Capacity: The KS 5016U and EonStor GS 4000 G3 deliver high performance and large storage capacity, ensuring fast, reliable access to AI models for enterprise applications, along with security and privacy of business data.

Accelerated Enterprise AI Model Training

Enterprise AI model training depends on high-performance and reliable infrastructure and tools for development, training, tuning, and inference. Acceleration of AI model training requires optimization from multiple perspectives, including hardware, software, distributed computing, data processing, and algorithm refinement.

The IEC platform, featuring the KS 5016U compute nodes and EonStor GS SSD/HDD storage, enables enterprises to centralize infrastructure resources and AI tools on a single platform. This facilitates seamless deployment of essential components such as training data processing, big data storage, deep learning frameworks (e.g., KubeFlow), and model flow management tools (RAGFlow, Dify)—all while significantly reducing time, cost, and operational complexity.

Solution Advantages

• Built-in AI Application Tools: The KS 5016U features a pre-integrated, enterprise-grade software marketplace, allowing quick setup of data and AI model development tools while streamlining deployment and maintenance.
• High-Speed Data Processing: With 16 NVMe SSDs, the KS 5016U delivers ultra-fast data processing. Complemented by EonStor GS unified storage using SAS HDDs and data replication, the system ensures high-speed, uninterrupted access during model training. Both SSD and HDD storage can be scaled to accommodate growing volumes of hot data and AI models.
• Support for Traditional and New Applications: The KS 5016U supports traditional applications via virtualization and modern applications through containers, allowing seamless consolidation of legacy and next-gen apps on a single platform.
• Scalability with Business Growth: With the development of size and complexity of AI models, the KS 5016U and EonStor GS infrastructure allows for easy expansion by adding more nodes, without system downtime.

AI-Powered Video Generation for Product Promotion

Corporate product videos have become a core tool for capturing customer attention and driving sales. However, producing high-quality video content traditionally demands significant time, creativity, and resources. With AI-powered tools, businesses can convert simple product descriptions and images into engaging, dynamic videos.

The IEC platform, featuring the KS 5008U compute nodes and EonStor GS SSD storage, allows enterprises to centralize infrastructure, product assets, and AI tools within a single platform. It streamlines AI video model deployment, reduces production time and cost, and helps businesses bring products to market faster.

Solution Advantages

• High-Performance Computing Resources: Each KS 5008U supports up to 4 GPU cards, delivering the power needed for intensive video rendering and encoding, especially for complex animations and GPU-accelerated tasks.
• Optimized GPU Utilization: Built-in GPU resource optimization ensures maximum efficiency, allowing applications to fully and efficiently leverage GPU computing capabilities.
• High-Speed Storage: EonStor GS SSD storage provides fast, reliable access to AI models and video data, ensuring smooth and efficient video generation.
• Seamless Scalability: Both the KS 5008U and EonStor GS scale easily with application growth by adding more nodes, without system downtime.