Powering High-Performance Computing
Scaling for Big Computing, Leading the Future
High-Performance Computing (HPC) uses aggregated computing resources of multiple computers to meet the demand for high processing power in fields such as Big Data, Artificial Intelligence (AI), Data Science, and industries like finance, engineering, weather forecasting, medicine, chemical research, and commercial sectors. Selecting a platform that can unify computing power for parallel processing, optimize data read/write operations across heterogeneous and multi-faceted data volumes, eliminate workflow bottlenecks, and efficiently manage compute resource scaling and workloads are critical challenges to address.
The Infortrend Enterprise Cloud (IEC) is a modern, hyper-converged private computing platform for complex workloads, data streaming, big data analytics, and AI/ML modeling. With cost-efficiency, rapid deployment, seamless scalability, and effortless system integration, IEC empowers corporations and organizations to easily tackle the most demanding computational and data-intensive challenges, accelerating innovation and reducing time to market for groundbreaking solutions.
The IEC platform integrates hardware, firmware, and software into a hyper-converged cluster solution. This all-in-one approach streamlines infrastructure provisioning, accelerates application deployment, and reduces the complexity of Big Data, AI, and ML implementation, lowering adoption barriers and enabling organizations to respond swiftly to technical demands and business challenges.
Effortless and Cost-Effective Workload Deployment
IEC provides a cloud-native, fully integrated compute and storage environment that is always in a ready-to-deploy state. Organizations can launch compute-intensive workloads during development and validation while efficiently managing, monitoring, and measuring workload performance through a unified management console. This streamlined approach reduces operational overheads and enhances productivity.
Seamless Enterprise System and Data Integration
Managing diverse computing and storage resources with varying hardware specifications and architectures can be complex and costly. The IEC platform centralizes the management of enterprise hardware, software applications, and data, allowing seamless integration with minimal effort and making it far more efficient than traditional system integration methods. This ensures smooth connectivity between workloads and data across the organization.
Reliable Infrastructure and Uninterrupted Workloads
Ensuring high availability and secure enterprise infrastructure with uninterrupted workload execution is critical. The IEC's built-in features, such as automated workload recovery and data replication, safeguard critical applications and data assets, providing continuous accessibility and maintaining a secure Service Level Agreement (SLA).
Scalability to Support Business Growth
Maximizing Return on Investment (ROI) on infrastructure calls for a scalable platform that adapts to growing business workloads. IEC supports a single-node deployment mode at initial implementation and can seamlessly scale up to 20 nodes as business demands grow—without service disruption or system downtime. This flexibility allows organizations to effortlessly expand computing and storage capacities as needed.
Data Sovereignty and Compliance
Operating as a private cloud cluster within the customer’s on-premises environment, IEC directly integrates with existing IT infrastructure, including network and authentication services. All enterprise systems and data remain within the customer-owned data center, ensuring security, data sovereignty, and compliance with industry regulations such as ISO 20001 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, for enterprises to select the model that best fits application and workload 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.
The IEC platform provides a pre-configured hardware and software solution designed to deliver powerful computing, data storage, and application deployment capabilities for organizations. It simplifies the workload development and deployment processes, accelerating the realization of value from innovative applications. This enables the uncovering of new insights that advance human knowledge and create significant competitive advantages within the industry.
Simplified Deployment of MATLAB Distributed Computing Server
Organizations leverage MATLAB Distributed Computing Server clusters to ex-ecute compute-intensive parallel MATLAB workloads. To achieve this, users must set up multiple physical or virtual machines, deploy the application, and integrate the server software with network and authentication systems. Only after completing these steps can users connect to the cluster to manage and execute workloads. This process involves numerous prerequisites and must be repeated for each application rollout, making deployment cumbersome and time-consuming.
By integrating the IEC compute node KS 5008U and EonStor GS 4090 G3 unified storage into the organization's network, businesses can streamline deployment, significantly reducing costs, time, and effort required to launch and manage applications.
Solution Advantages
- Enterprise-Ready Software Integration: KS 5008U comes with built-in enterprise-scale software applications, simplifying the deployment and maintenance of enterprise infrastructure services and operational systems.
- Unified Platform for Applications: KS 5008U supports both traditional applications running on virtual machines (VMs) and modern applications, allowing seamless consolidation on a single platform.
- Comprehensive Database Support: KS 5008U accommodates diverse database needs, including SQL, NoSQL, and big data storage, ensuring flexibility for various corporate applications.
- High-Performance Storage and Data Protection: KS 5008U is equipped with 8 NVMe SSDs for fast data processing, and replicated data is backed up and stored in GS unified storage using SAS HDDs, ensuring seamless data accessibility and protection.
Automated Stock Trading Algorithm Simulation
AI-powered financial applications are increasingly used to enhance efficiency and mitigate risks in processing millions of financial transactions per second. Organizations not only analyze historical data from stocks, options, and cryptocurrencies worldwide but also incorporate non-financial factors—such as politics, environment, weather, education, business, and the Internet—to identify additional influences on financial transactions. These factors are then leveraged to simulate and validate the effectiveness of trading algorithms.
To support this process, organizations can use the high-performance IEC compute node KS 5016U combined with EonStor GS 4090 G3 unified storage, creating a powerful enterprise computing platform for developing and executing algorithmic trading workloads. KS 5016U also provides essential tools for data management (MongoDB, ClickHouse), data lakes (Cassandra, MinIO, Dremio), and data integration (Kafka, Redis), serving as foundational components for financial applications.
Solution Advantages
- Enterprise Application Marketplace: KS 5016U includes a built-in marketplace, enabling quick and easy installation and deployment of enterprise applications.
- Containerized Application Deployment: KS 5016U supports containerized workloads with auto-failover and auto-scaling capabilities, ensuring continuous operation and high availability.
- VM Compatibility and Data Migration: KS 5016U runs VM versions of applications, allowing seamless migration of legacy systems while consolidating data and system integrations onto a single platform.
- High-Capacity Storage and Data Protection: EonStor GS 4090 G3 offers massive data storage capacity, automated replication for business data, and data protection mechanisms, ensuring the security and integrity of business assets.
- Scalability for Business Growth: KS 5016U and EonStor GS 4090 G3 can scale as business demands increase without system downtime.
Autonomous Vehicle Development and Simulation
Autonomous vehicles (e.g., robotaxis, robobuses) and unmanned aerial vehicles (UAVs) rely on real-time data from cameras, IoT sensors, radar, and GPS to make split-second decisions. The autopilot system serves as the core of these vehicles, continuously analyzing environmental conditions and responding to potential risks to ensure the safe transportation of passengers and cargo. Big data, AI, and machine learning (ML) technologies play a crucial role in autopilot application development and simulation.
To support these high-computing demands, organizations can leverage the IEC compute node KS 5008U and EonStor GS 4090 G3 unified storage as a powerful, scalable platform for developing and running AI-driven autopilot applications while validating configurations and algorithms.
Solution Advantages
- AI/ML-Optimized Deployment: KS 5008U simplifies AI/ML workload deployment with pre-configured tools like RAGflow, allowing users to quickly set up environments and deploy workloads.
- High Availability and Reliability: KS 5008U operates in a cluster mode with automatic failover, ensuring uninterrupted operation even in the event of node failure.
- Scalable High-Performance Storage: EonStor GS 4090 G3 delivers high-speed, large-capacity storage, providing high availability, security, and data integrity to support continuous AI processing.