ZC4050

core product features

• Ultimate computing power density: The standard 4U rack-mount design is perfect for mainstream data center deployments, and a single node supports 10 GPU cards for parallel computing to maximize computing power in a limited rack space, greatly reducing data center space and energy consumption costs.
• Flagship computing power base: Powerful multi-core computing power based on the Intel Eagle Stream platform can unlock the full potential of GPU parallel computing while balancing the needs of computing-intensive and data-intensive dual-business workloads.
• Flexible low-latency topology: supports CPU-GPU direct connection and CPU-GPU switch dual topology architecture free switching, which can greatly reduce multi-card parallelism and computing power scheduling delay according to the intelligent optimizationdata transmission path of business load, significantly improving business operation efficiency.
• All-scenario flexible adaptation: native supports GPU virtualization, vGPU fine-grained segmentation and containerized deployment, compatible with mainstream AI frameworks and business systems, flexible to adapt to all types of business scenarios from model training and inference services to scientific simulation and big data analysis.

Core application scenario and adaptive solution

1. Artificial intelligence full-link core scenario

• Large language model (LLM) full-stack solution with 10-card GPU multi-machine multi-card parallel capability and low-latency switch topology architecture, greatly reducing multi-card communication overhead, perfectly adapted to the 7B-70B parameter vertical industry model full parameter pre-training, LoRA/QLoRA lightweight fine-tuning and alignment evaluation work, significantly shortening the model iteration cycle; The CPU-GPU direct connection architecture can effectively reduce inference scheduling latency, and the single node can support multi-model instance hybrid and high concurrent inference requests, which is fully compatible with the security compliance of enterprise private knowledge base, retrieval augmented generation (rag), intelligent question answering and other scenarios.
• AIGC generative AI full-scenario solution relies on high-density parallel computing power to fully support AIGC business scenarios such as Venson graphics, Venson video, 3D digital asset generation, hyper-realistic digital human drive, and audio synthesis, which can achieve large-scale batch content generation and real-time rendering output, greatly reducing content creation costs and cycles in media, advertising, gaming, digital twin and other industries; At the same time, it can flexibly adapt to the customized fine-tuningtraining of the mainstream generation model, helping enterprises quickly build their own AIGC capabilities.
• computing machine vision (CV) and multi-mode perception solution Single node can carry real-time intelligent resolution of thousands of high-definition video streams, adapting to smart cities, target detection in security monitoring scenarios, face recognition, behavior analysis, trace tracking and other businesses; at the same time, it can meet the low-latency inference and high-precision computing needs of industrial vision high-accuracy quality inspection, automatic driving perception model training and simulation, medical image intelligent analysis and other scenarios, and help various industries achieve intelligent perception upgrades.
• Intelligent speech and natural language processing (NLP) solutions are fully adapted to high concurrent ASR speech recognition, TTS speech synthesis, NLP semantic understanding, multilingual real-time translation, mass text intelligent processing and other services. Single-node can carry 10,000-level concurrent conversation requests, and are widely used in intelligent customer service, government hotlines, cross-border e-commerce, publicity monitoring, compliance content review and other scenarios to help enterprises achieve intelligent upgrading of service processes and data governance.

2. High-performance computing (HPC) and scientific research simulation scenarios

• Scientific computingsolution is in-depth suitable for computing tasks such as gene sequencing data analysis, protein structure prediction, biological macromolecule simulation, new drug research and screening in the fields of life science and precision medicine. At the same time, it can meet the large-scale parallel computing needs of scientific research scenarios such as computing chemistry, new material simulation, atmospheric and marine environment simulation, and quantum physics computing, and provide stable and efficient computing power support for cutting-edge scientific research breakthroughs.
• The industrial engineering simulation acceleration solution is fully compatible with mainstream CAE simulation software, providing GPU acceleration capabilities for multi-physics simulation tasks such as structural mechanics, fluid mechanics (CFD), electromagnetic simulation, thermal analysis, etc. It is widely used in product development and design verification in automotive, aerospace, high-end equipment, marine, oil and gas exploration and other fields, greatly shortening the simulation computing cycle, reducing physical prototype testing costs, and helping the research and development efficiency upgrade in the high-end manufacturing field.

III. Cloud computing and big data infrastructure scenarios

• Enterprise-level AI private cloud/hybrid cloud solutions natively support GPU virtualization, vGPU fine-grained segmentation and Kubernetes containerized deployment, which can realize single-node multi-tenant computing power isolation and flexible scheduling, build a unified AI computing power resource pool for enterprises, adapt to the training and inference business flexibility requirements of different departments, and maximize computing power utilization; It can seamlessly connect with the computing power of the public cloud to achieve the elastic scaling of computing power under the hybrid cloud architecture, taking into account the core data security compliance and business peak computing power requirements.
• Edge computing power center and area computing power node solution standard 4U specification adapts to mainstream edge room and carrier cabinet deployments. Single-node high-density computing power can carry smart cities, Industrial Internet, The proximity processing of IoT data and AI inference, Achieve "network + computing power" integrated services, Significantly reduce data transmission latency and WAN bandwidth costs, Perfect for 5G + edge computing, Smart park. Low latency business scenarios such as smart mines.
• The big data processing and intelligent governance solution relies on the multi-core CPU computing power and GPU acceleration capabilities of the Intel Eagle Stream platform, and is compatible with the mainstream distributed big data architecture. It can realize the rapid cleaning, mining, and analysis of petabyte-level structured/unstructured data, and support the construction of enterprise data lakes and real-time data warehouses. At the same time, it can accelerate the implementation of privacy computing, federal learning, and other technologies, realize cross-agency data collaborative computing and AI modeling, and take into account data value mining and security compliance.

industry-vertical customized solutions

Financial industry

Government & Public Services

Smart Manufacturing & Industrial Internet Industry

Media & Creative Industries