A20 A04 5090x8~10 GPU Server

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The A20 A04 is a high-performance 6U rack-mounted GPU server designed for demanding computational workloads, supporting NVIDIA RTX 50 series fan cards and delivered as a barebone system. Below is a detailed breakdown of its features, based on the provided specifications and suggested configuration.

The A20 A04 features dual Intel CPU sockets, supporting 4th/5th generation Intel Xeon Platinum/Gold/Silver series processors with a maximum TDP of 350W. The suggested configuration includes 2x Intel Xeon 6530 processors, likely from the 4th (Sapphire Rapids) or 5th (Emerald Rapids) generation Xeon Scalable family, offering up to 64 cores per CPU and Intel AMX (Advanced Matrix Extensions) for AI acceleration. This setup excels in:

• AI Training and Inference: Ideal for large-scale deep learning models, such as LLMs (e.g., GPT or LLaMA).
• High-Performance Computing (HPC): Suitable for scientific simulations, climate modeling, and other parallel computing tasks.
• GPU-Accelerated Workloads: Paired with RTX 50 series GPUs, it accelerates graphics processing and AI tasks.

Memory:

• Equipped with 32 DDR5 memory slots, the suggested configuration uses 32x 64GB DDR5 modules, totaling 2TB, with a maximum transfer rate of 5600MT/s.
• Supports RDIMM or RDIMM-3DS memory, ensuring data integrity with error correction, perfect for memory-intensive applications like large-scale databases or AI model training.

Storage:

• Supports 6x 2.5-inch SATA-3 6Gbps HDD/NVMe/SSD ports. The suggested configuration includes 2x 480G SATA drives (for boot/OS) and 2x 3.84T NVMe drives (totaling 7.68TB), offering high-speed access and large capacity.
• Includes 1x M.2 NVMe slot (2280/22110, M-KEY) for caching or boot purposes.
• Supports Intel software RAID 0/1/5/10 for data redundancy and performance optimization.

The A20 A04 provides 10 PCIe 5.0 x16 expansion slots, with the suggested configuration utilizing 8 PCIe 5.0 GPU cards (RTX 50 series fan cards), delivering exceptional acceleration for graphics processing, deep learning, and scientific computing:

• RTX 50 Series GPUs: Likely based on NVIDIA’s latest architecture (potentially a successor to Blackwell), these GPUs offer enhanced Tensor Cores, higher memory bandwidth (possibly HBM3 or GDDR7), and are optimized for AI/ML workloads.

Applications:

• Deep Learning: Supports frameworks like TensorFlow and PyTorch, accelerating model training and inference.
• Rendering: Ideal for game development, film VFX, or architectural visualization with real-time ray tracing and AI-enhanced features (e.g., DLSS).
• Scientific Computing: Suitable for physics simulations, molecular modeling, and other high-precision tasks.

Networking:

• Features 2x OCP network cards, supporting high-speed modules (upgradable to 100GbE).
• The suggested configuration includes 1x 25G dual-port and 1x 10G dual-port interfaces, ensuring high-throughput data transfers for distributed training or cloud computing.
• Includes 1x dedicated IPMI management port (RJ45 MLAN) for remote monitoring and management.

Power Supply:

• 3+1 2000W redundant power supply (Pmbus-supported), ensuring high availability even if one power unit fails.
• High-efficiency design reduces energy consumption, ideal for large-scale data center deployments.

Cooling:

• Features 4x front hot-swappable fans and 8x rear hot-swappable fans, with optimized airflow to maintain temperatures around 70°C during full 8-GPU load, preventing thermal throttling.
• Designed for high-heat components like GPUs and CPUs, extending hardware lifespan.

Ease of Use:

• Includes a UID button and LED for easy identification in rack environments.
• Provides a system reset button, VGA interface (DB15), and 2x USB 3.2 Gen1 ports for local maintenance.
• IPMI management interface enables remote power control and hardware monitoring.

Environmental Resilience:

• Operating temperature range: 10°C to 35°C; operating humidity: 8%-80% (non-condensing).
• Non-operating conditions: -40°C to 60°C; humidity: 10%-95% (non-condensing).
• Adapts to various environments, from data centers to edge computing setups.

OS Compatibility:

• Supports Windows Server 2022/2019, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu 22.04 LTS, VMware ESXi 8.0 Update 2, and Citrix Hypervisor 8.2 LTSR CU1, catering to diverse enterprise applications.

The suggested configuration for the A20 A04 includes:

• CPU: 2x Intel Xeon 6530, optimized for AI and HPC workloads.
• Memory: 32x 64GB DDR5 (2TB total), meeting large-scale data processing needs.
• Storage: 2x 480G SATA + 2x 3.84T NVMe (7.68TB total), balancing speed and capacity.
• GPU: 8x RTX 50 series GPUs, supporting AI training, rendering, and scientific computing.
• Networking: 1x 25G dual-port + 1x 10G dual-port, enabling high-speed data transfer.
• Power: 3+1 2000W redundant power supply, ensuring reliability.

Compared to other 6U GPU servers (e.g., Dell PowerEdge R760xa or HPE ProLiant DL560 Gen11), the A20 A04 offers:

• Higher GPU Density: Supports 8 PCIe 5.0 GPUs, delivering more compute power per rack unit.
• Superior Cooling: 12 fans with optimized airflow ensure stability during prolonged full-load operation.
• Flexible Expansion: 10 PCIe 5.0 slots allow for future upgrades (e.g., additional GPUs or network cards).

• GPU Options: For pure AI workloads, consider NVIDIA H100 GPUs for higher FP64 performance and HBM3 memory.
• Networking Upgrade: For distributed training, upgrading to 100GbE or 200GbE can reduce latency.
• Storage Expansion: For larger capacity needs, add more NVMe drives or use external storage arrays.

The A20 A04 is a high-performance 6U dual Intel CPU rack-mounted GPU server, excelling with its powerful computing capabilities (dual Xeon 6530 CPUs and 8 RTX 50 series GPUs), massive memory (2TB DDR5), high-speed storage (7.68TB NVMe), efficient networking (25G/10G dual ports), redundant power, and advanced cooling. Its environmental adaptability and user-friendly features make it a reliable choice for AI training, HPC, rendering, and cloud computing, positioning it as an ideal solution for enterprises with demanding workloads.