About This Intel Xeon CPU Max 9480 1.90 GHz 56-Core 112-Thread AI Server Processor
The Intel Xeon CPU Max 9480 is a high-performance AI and HPC server processor designed for data centers, scientific computing, AI training, and inference workloads. With 56 cores and 112 threads, it delivers strong parallel performance, high memory bandwidth with HBM support, and enterprise-grade reliability for modern computing systems.
Intel Xeon CPU Max 9480 1.90 GHz 56-Core 112-Thread AI Server Processor in BD
The Intel Xeon CPU Max 9480 is suitable for AI servers, HPC clusters, and enterprise data centers in Bangladesh. It is widely used for AI model training, simulation workloads, virtualization, and high-performance computing environments requiring memory bandwidth acceleration and stable compute performance.
User Experience of Intel Xeon CPU Max 9480 1.90 GHz 56-Core 112-Thread AI Server Processor
Users experience strong multi-threaded performance, high memory throughput, and stable 24/7 server operation. It is optimized for bandwidth-heavy workloads such as AI training, scientific simulations, data analytics, and large-scale enterprise computing systems.
Why Choose Intel Xeon CPU Max 9480?
The Xeon Max 9480 offers 56 cores, 112 threads, HBM high-bandwidth memory, DDR5 support, and Intel AMX AI acceleration. It is designed for workloads that require both compute power and extreme memory bandwidth efficiency.
Key Features
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56 High-Performance Cores
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112 Threads for Parallel Computing
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Intel Xeon CPU Max Architecture
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Intel AMX AI Acceleration
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High Bandwidth Memory (HBM) Support
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Large Intel Smart Cache
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DDR5 ECC Memory Support
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PCIe 5.0 High-Speed Interface
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Enterprise-Class Reliability
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Optimized for AI & HPC Workloads
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High Memory Bandwidth Performance
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Data Center Grade Design
Performance Advantage
The Xeon CPU Max 9480 delivers excellent performance for memory-intensive AI and HPC workloads. Its HBM-based architecture significantly improves data throughput, making it ideal for scientific computing and large-scale AI model training.
Where It Can Be Used?
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AI Training Systems
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HPC Supercomputers
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Scientific Research Platforms
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Data Analytics Servers
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Cloud Computing Infrastructure
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Simulation Workloads
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Enterprise Data Centers
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Machine Learning Systems
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Virtualization Environments
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High-Performance Compute Clusters
