SUPERMICRO SYS-820GH-TNR2 Training Server Accelerators GAUDI2

( Brand: Supermicro ), ( Manufacturer Part Number: SYS-820GH-TNR2 ), ( Form Factor: 8u Rack-mount ), ( Type: Server ), ( Processor Manufacturer: Intel ), ( Ram Size: 1024gb ), ( Processor Type: Xeon 8380 ), ( Memory Type: Ddr4 Sdram ), ( Product Line: Superserver )

Review SUPERMICRO Lot Of 820gh-tnr2 Ai Training Server Gaudi2 Accelerators

The Supermicro SSY-820GH-TN4R2 is a high-performance, 24-bay, 2U Training Server specifically designed to accommodate NVIDIA GPUs, such as the Gaudi2 accelerators. This server is an ideal solution for machine learning, deep learning, and data processing workloads that require massive parallel processing.

The chassis of this server is built from lightweight yet robust materials, ensuring reliable performance while keeping weight and power consumption at a minimum. It supports up to 24 NuTypical 3.5-inch bays for 3.5-inch form factor NVIDIA GPUs or two NuTypical 2.5-inch bays for 2.5-inch form factor GPUs. The server also boasts an expandable design, allowing for up to 3 additional GPU expansion slots when using the optional GPU riser cards. This flexibility makes it easy to scale the server based on evolving computing requirements.

The Supermicro SSY-820GH-TN4R2 integrates the latest Intel Xeon Scalable Processors, enabling double theMemory channels per CPU compared to previous generations, which significantly increases bandwidth for high-memory applications. Support for DDR4 3200MHz memory and Intel Optane DC Persistent Memory offers high-performance computing and data access for exceptional overall system performance.

The power supply system features efficient 1 1 platinum level redundant power supplies that can deliver a total power configuration of up to 1600W. This ensures uninterrupted operation, even under heavy computing loads. The front-access, hot-swappable power supplies facilitate easy maintenance, while the configurable power distribution options provide optimal power management for various components within the server.

The server's chassis comes with integrated rear hot-swap redundant fans that provide efficient, quiet cooling for optimal thermal performance. The inclusion of a power supply fan malfunction detection mechanism adds an extra layer of reliability.

A robust IPMI 2.0 with KVM over IP, equivalent to single-user graphical console (IPMI 2.0 with KVM2), remote power control, and embedded LAN help manage and monitor the server remotely. Also included is a dedicated LAN port for increased management network security, as well as a management controller that supports up to two IP addresses for flexible usage. Dual constrained wired or wireless management controllers with battery backup offer enhanced management capabilities.

The I/O connectivity includes two PCIe Gen3 x16 slots, two PCIe Gen3 x4 slots, two 1GbE LAN ports, and a dedicated 10GbE/25GbE LAN port for higher-speed networking, making it suitable for diverse workloads. The server also features a graphics output connector and a serial console port for remote management and access.

The Supermicro SSY-820GH-TN4R2, with its support for NVIDIA Gaudi2 accelerators, high-performance CPU and memory options, advanced cooling, efficient power supplies, and robust management capabilities, offers a powerful and flexible server solution for your most demanding computing needs.

The Supermicro SYS-820GH-TN4T 24-node 820GH-TN4T training server with Gaudi2 accelerators is a high-performance computing solution designed for deep learning and AI workloads. Here are some potential pros and cons of purchasing this system:

1. High Performance: This 24-node system comes with NVIDIA Gaudi2 accelerators, which are optimized for AI training. Gaudi2 delivers impressive performance, with up to 4x the FP16 training throughput of V100 and up to 8x the training throughput of A100 GPUs. This makes it ideal for large-scale deep learning applications.

2. Scalability: The system can support up to 24 nodes, allowing for easy scaling of deep learning projects. This level of scalability is essential for teams and organizations that need to handle large datasets and conduct complex research.

3. Cost-effective: While this system is quite expensive, its high performance and scalability can make it a cost-effective solution for organizations with intensive AI workloads. Dedicated AI hardware can significantly reduce training times, saving on computing power and energy costs.

4. Support for CUDA, NCCL, and PCIe4: The system comes with CUDA support, which is ideal for deep learning frameworks such as TensorFlow and PyTorch. Additionally, it supports NVLink, NCCL (NVIDIA Collective Communications Library), and PCIe4 for optimized communication and data transfer between nodes.

5. High-density design: With its 24 nodes fitting into a single 4U enclosure, the system offers a high-density design that is space-saving and ideal for data centers and other environments where space is at a premium.

1. Expensive: The Supermicro SYS-820GH-TN4T 24-node training server with Gaudi2 accelerators is a premium product with a substantial investment required. Organizations with limited budgets may find it hard to justify the cost.

2. Complexity: The system is targeted at organizations with deep learning and AI workloads, and setting it up may require specialized knowledge. IT staff or system integrators with expertise in HPC and deep learning infrastructure are recommended for installation and configuration.

3. Energy Consumption: With 24 Nvidia A100 GPUs and high-performance CPUs, this system will consume a significant amount of power, which is a critical operational expense that needs to be considered in the total cost of ownership.

In conclusion, the Supermicro Sys-820GH-TN4T training server with Gaudi2 accelerators offers excellent performance, scalability, and support for deep learning and AI workloads. It is designed for organizations with large-scale projects and high-performance computing requirements, but it comes at a high cost and requires expertise in HPC infrastructure. Overall, if the budget and IT expertise are available, this system can offer significant benefits and a strong return on investment for organizations in AI and deep learning research and development.

The Supermicro Sys-820GH-TN4T training server with Gaudi2 accelerators is ideally suited for organizations with deep learning and AI workloads that require high-performance computing resources. It offers excellent scalability, supports CUDA, NCCL, and PCIe4, and delivers impressive performance for AI training. However, its high cost and complex setup process may be challenging for organizations without the necessary budget and expertise. It is recommended for businesses and research institutions focused on AI and deep learning projects with large datasets and complex research objectives. Smaller organizations with limited resources may want to consider alternative, lower-cost solutions that offer similar performance through the use of cloud computing or multi-GPU workstations.

Details:

Supermicro 820GH-TNR2 8U AI Server 8x Gaudi2 Accelerators 2x 8380 40-Core 1024GB. Which means used in excellent condition and test records are on hand. Supermicro Servers. Supermicro SYS-820GH-TNR2 8U AI Training Server with 8 Gaudi2 Accelerators.

Custom Data Erasure - Wipe your data before it even leaves the center. Shipping: Orders are shipping using FedEx, UPS or USPS.

part #: sys820ghtnr2 prices

• $199.99-$39999.95

specifications chompiserver:

• brand: Supermicro
• mpn: Sys-820gh-tnr2
• form factor: 8u Rack-mount
• type: Server
• processor manufacturer: Intel
• ram size: 1024gb
• processor type: Xeon 8380
• memory type: Ddr4 Sdram
• product line: Superserver

seller chompiserver:

• city: Naples, Florida
• rating: 97.9%
• # reviews: 3397

payments chompiserver:

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shipping chompiserver:

offer chompiserver:

• availability: In Stock
• sold: 0
• quantity: 1
• started: February 3, 2025
• best offers: True
• options: Ship-to-home

returns chompiserver:

• policy: Returns Accepted
• method: Money back
• time: 30 Days
• paid by: Seller

general chompiserver:

• condition: Used
• Enterprise Networking, Servers > Servers, Clients Terminals > Computer Servers

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