About This Intel Xeon 6990E+ 2.20 GHz 288 Core 288 Thread AI Server Processor
The Intel Xeon 6990E+ 2.20 GHz 288 Core 288 Thread AI Server Processor is an extreme high-density AI server processor designed for next-generation hyperscale data centers, AI training, inference, HPC, and cloud workloads. With 288 cores and 288 threads, it delivers massive parallel computing power, advanced AI acceleration, and enterprise-grade scalability for ultra-large AI infrastructures.
Intel Xeon 6990E+ 2.20 GHz 288 Core 288 Thread AI Server Processor in BD
The Intel Xeon 6990E+ processor is suitable for ultra-high-end AI servers, GPU clusters, HPC supercomputing systems, and enterprise data centers in Bangladesh. It is designed for massive AI model training, virtualization, cloud platforms, and large-scale computing workloads.
User Experience of Intel Xeon 6990E+ 2.20 GHz 288 Core 288 Thread AI Server Processor
Users experience extremely high parallel processing performance, stable 24/7 enterprise reliability, and efficient AI workload execution. It is optimized for massive-scale workloads such as LLM training, deep learning, big data analytics, and hyperscale cloud computing environments.
Why Choose Intel Xeon 6990E+?
The Xeon 6990E+ offers 288 cores, 288 threads, Intel AMX AI acceleration, DDR5 support, PCIe 5.0 connectivity, and ultra-large cache architecture. It is built for maximum density, scalability, and performance in next-generation AI and HPC data centers.
Key Features
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288 High-Performance Cores
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288 Threads for Massive Parallel Processing
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Intel Xeon 6 Architecture
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Intel AMX AI Acceleration
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Ultra-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 Security Features
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Advanced Virtualization Support
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Optimized for AI Training & HPC Workloads
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Hyperscale Data Center Ready
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Extreme Compute Density Design
Performance Advantage
The Xeon 6990E+ delivers unmatched multi-core performance for AI training, inference, cloud computing, and HPC workloads. It dramatically reduces training time for large AI models and supports massive parallel workloads in enterprise environments.
Where It Can Be Used?
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AI Training Supercomputers
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Large Language Model (LLM) Clusters
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AI Inference Systems
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GPU-Accelerated Servers
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Hyperscale Cloud Data Centers
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HPC Supercomputing Systems
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Virtualization Platforms
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Big Data Analytics
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Machine Learning Infrastructure
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Scientific Research Centers
