Transport HX TN83-B8251 שרת AI

Transport HX TN83-B8251 HPC Server
Model: B8251T83E8HR-2T-N
2U 4xGPU 2xCPU HPC Powerhouse

🚀 TYAN AMD EPYC 2U 4-GPU 2CPU System
Unleash the power of advanced AI computing with a 2U server chassis designed for maximum performance and reliability. This system is built to handle the most demanding tasks with ease.

💪 AMD EPYC 7313 CPUs – 16/32 Core, 128 Lanes, 3.7GHz
Experience unparalleled processing power with dual AMD EPYC 7313 CPUs, offering 16 cores and 32 threads each. Perfect for AI training, data analytics, and high-performance computing.

🔧 64GB MICRON ECC REG RAM – 3200MHz
Ensure data integrity and stability under heavy workloads with 64GB of ECC Registered RAM, operating at a swift 3200MHz. Ideal for memory-intensive applications.

💾 3.84TB Intel D5-P5530 PCIe 4.0 Enterprise SSD
Ultra-fast storage solution with 3.84TB capacity, ensuring rapid data access and reduced latency, critical for real-time processing and large dataset handling.

🎮 NVIDIA A5000 ADA 32GB GPU
Leverage the power of the NVIDIA A5000 GPU, boasting 32GB of memory, to accelerate AI workloads, rendering, and complex simulations with remarkable efficiency.

🔗 Comprehensive Connectivity
Benefit from robust networking with dual 10GbE Intel X550-AT2 ports, an additional 1GbE for IPMI, and 1+1 redundant 2200W power supplies for uninterrupted operation.

🛠 Original 19” Rails Included
Easy installation with original 19” rails, ensuring a secure fit into your existing server rack infrastructure.

🖥️ NVMe RAID 1 Support on AMD
Achieve redundancy and performance with NVMe RAID 1 support, built for reliability and speed, perfect for critical data storage and management.

Why Choose the Transport HX TN83-B8251?
This server is the ultimate choice for businesses and organizations seeking top-tier AI, machine learning, and high-performance computing capabilities. Its blend of powerful CPUs, robust GPU acceleration, and high-speed storage makes it an unbeatable solution for your most demanding projects. Elevate your IT infrastructure and stay ahead of the competition with the Transport HX TN83-B8251.

The server detailed in the provided image is designed for high-performance computing (HPC) and is suitable for various AI-related tasks, particularly those requiring significant computational power and memory. Here’s an overview of the AI applications this server can handle:

1. Deep Learning and Machine Learning Training:
   • The 2x AMD EPYC CPUs and up to 4 NVIDIA A5000 GPUs make this server ideal for training deep learning models. The GPUs can handle large-scale data and complex models, while the CPUs offer high throughput for data preprocessing and general computation.
2. AI Inference at Scale:
   • With the high number of cores and large memory capacity, this server can efficiently perform inference tasks, applying pre-trained models to new data in real-time or batch mode. The GPUs will speed up inference for deep learning models.
3. Data Analytics and Processing:
   • The large RAM and CPU core count allow for big data processing, enabling tasks such as data mining, statistical analysis, and large-scale data processing pipelines.
4. Scientific Computing and Simulation:
   • The server’s high computational power and large memory are suitable for scientific simulations, including those used in AI-driven research in fields like genomics, climate modeling, and computational chemistry.
5. AI-Based Image and Video Processing:
   • The NVIDIA A5000 GPUs are well-suited for processing high-resolution images and videos, making this server ideal for AI tasks related to computer vision, such as object detection, segmentation, and video analysis.
6. Natural Language Processing (NLP):
   • The server can be used to train and run large language models, process massive text datasets, and perform tasks like translation, sentiment analysis, and text generation.
7. Edge AI Development and Testing:
   • With its powerful computational capabilities, this server could be used to develop and test AI models before deploying them to edge devices.

This server is built to handle high-demand AI workloads, offering flexibility for various tasks that require intensive computation and memory.

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