Server di elaborazione/AI ad alta densità Lenovo WA5480G3 da 24 alloggiamenti con doppie CPU a 32 core e storage NVMe multilivello
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Lenovo WA5480G3 24-Bay High-Density AI/Compute Server with Dual 32-Core CPUs & Multi-Tier NVMe Storage

Keywords

Lenovo WA5480G3, 24-bay server chassis, dual 6544Y CPUs, 32-core 3.6 GHz, 768 GB DDR5 memory, 3.2 TB NVMe drives, 400 GbE ConnectX-7, Lenovo AI server sale, buy WA5480G3 online

Description

The Lenovo WA5480G3 server is built for demanding AI, HPC and data-intensive workloads, delivering a high-density, multi-tier storage and compute platform. This configuration features dual Intel Xeon Gold 6544Y+ processors (each 16 cores at 3.6 GHz base) to provide significant parallel processing power. With the “dual 6544Y CPUs” keyword, you’re acquiring a system designed for heavy compute throughput and accelerated inference or training workflows.

Memory is ample: the system includes 12 × 64 GB modules (768 GB total) of DDR5 ECC memory, providing high bandwidth and capacity for large datasets and concurrent tasks. The storage tier is particularly robust: 8 × 3.2 TB NVMe drives, 4 × 480 GB SSDs, 6 × 2.4 TB SSDs, and 2 × 960 GB M.2 drives — enabling a modern combination of ultra-fast I/O and large capacity storage. The “3.2TB NVMe drives” phrase highlights the ultra-fast tier present in the build.

Networking is well-specified with a dual-port 10/25 GbE OCP adapter (Broadcom 57412) and a quad-port 1 GbE adapter (Broadcom 5270), along with a 400 GbE ConnectX-7 card, supporting high-throughput and low-latency data movement across nodes. The chassis supports 24 drive bays and is set up with four 2700 W redundant power supplies to deliver fault-tolerant power for sustained workloads.

If you’re looking to “buy WA5480G3 online” for an AI server build or scalable compute node, this configuration offers a combination of high capacity, high performance and enterprise-grade reliability. The “Lenovo AI server sale” keyword underlines its relevance in the e-commerce space for server hardware procurement.

Key Features

  • Dual Intel Xeon Gold 6544Y+ CPUs (16 cores each, 3.6 GHz base) for high compute density
  • 768 GB DDR5 (12 × 64 GB) ECC memory for large-scale datasets and concurrent processing
  • 24-bay chassis (front rack) with multi-tier storage: 8 × 3.2 TB NVMe + 4 × 480 GB SSD + 6 × 2.4 TB SSD + 2 × 960 GB M.2 for boot/metadata
  • Dual-port 10/25 GbE OCP adapter (Broadcom 57412) plus quad-port 1 GbE adapter (Broadcom 5270) for networking flexibility
  • 400 GbE ConnectX-7 adapter for ultra-high bandwidth interconnects
  • Four 2700 W redundant hot-plug power supplies for enterprise reliability
  • Rails included for rack mounting and serviceable design
  • Optimized for AI / HPC workloads with multi-tier storage and high I/O paths

Configuration

QtyComponentDetails
1Server ModelLenovo WA5480G3 (24-bay chassis)
2ProcessorsIntel Xeon Gold 6544Y+ (16C each, 3.6 GHz base)
12Memory Modules64 GB DDR5 ECC each (total 768 GB)
8NVMe Drives3.2 TB NVMe each
4SSD Drives480 GB SSD each
6SSD Drives2.4 TB SSD each
2M.2 Drives960 GB M.2 each (boot / metadata)
110/25 GbE AdapterBroadcom 57412 dual-port OCP
11 GbE AdapterBroadcom 5270 quad-port
4Power Supplies2700 W each, redundant hot-plug
1Rail KitRack mounting rails included

Compatibility

The Lenovo WA5480G3 supports dual-socket configurations and is designed for AI and heterogeneous compute deployments. The official specification states it can support up to 10 double-width GPUs and is designed for large memory and storage configurations.

The chassis supports high-density drive configurations including NVMe and mixed drive types, and the server supports PCIe Gen5 / OCP 3.0 network cards — aligning with the “400 GbE ConnectX-7” and “10/25 GbE” networking present in this build.

Usage Scenarios

This server is ideal for **AI training and inference clusters**, where large datasets, high memory bandwidth and fast storage paths are key. With 768 GB of DDR5 memory and an 8×3.2 TB NVMe tier, the system can handle massive model parameters and high-speed I/O.

It also fits **high-density compute nodes** in HPC environments, correlating with the “24-bay server chassis” design where you may combine NVMe storage, GPUs and high-speed networking into a single 4U rack unit.

In **enterprise scale infrastructure deployments** where you need to “buy WA5480G3 online” or leverage a “Lenovo AI server sale”, this configuration gives a comprehensive package: compute, memory, storage and connectivity all in one platform.

For **data-intensive or analytics workloads**, the tiered storage combining NVMe, SSDs and M.2 drives supports hot/cold data separation and high throughput across applications such as real-time analytics, caching layers or large-scale databases.

Frequently Asked Questions (FAQs)

1. Can the WA5480G3 in this configuration support 24 front-mounted drives?

Yes. Although this build uses 8 NVMe drives and other tiers, the server chassis is designed for high-bay configurations and supports up to 24 server-side drives, aligning with the “24-bay server chassis” description. 

2. Is the dual Intel Xeon Gold 6544Y+ (16 cores each) sufficient for GPU-accelerated workloads?

Yes. While the WA5480G3 is often used with GPU configurations (up to 10 double-width accelerators), the dual 16-core CPUs provide ample host compute for feeding GPUs, managing I/O and orchestration tasks, especially in high-performance AI environments.

3. How is the multi-tier storage structured in this server?

This build includes 8 × 3.2 TB NVMe drives for ultra-fast I/O, 4 × 480 GB SSDs and 6 × 2.4 TB SSDs for mid-tier storage, and 2 × 960 GB M.2 drives for OS/metadata. This combination ensures performance and capacity across hot, warm and cold storage tiers.

4. What network bandwidth does this configuration offer?

The system uses a Broadcom 57412 dual-port 10/25 GbE OCP adapter and a Broadcom 5270 quad-port 1 GbE adapter, along with a 400 GbE ConnectX-7 card, enabling very high throughput for data movement, cluster interconnect or AI-distributed workloads.

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