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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
| Qty | Component | Details |
|---|---|---|
| 1 | Server Model | Lenovo WA5480G3 (24-bay chassis) |
| 2 | Processors | Intel Xeon Gold 6544Y+ (16C each, 3.6 GHz base) |
| 12 | Memory Modules | 64 GB DDR5 ECC each (total 768 GB) |
| 8 | NVMe Drives | 3.2 TB NVMe each |
| 4 | SSD Drives | 480 GB SSD each |
| 6 | SSD Drives | 2.4 TB SSD each |
| 2 | M.2 Drives | 960 GB M.2 each (boot / metadata) |
| 1 | 10/25 GbE Adapter | Broadcom 57412 dual-port OCP |
| 1 | 1 GbE Adapter | Broadcom 5270 quad-port |
| 4 | Power Supplies | 2700 W each, redundant hot-plug |
| 1 | Rail Kit | Rack 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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