$24,259.50 cheaper than the new price!!
Management number | 202044037 | Release Date | 2025/09/19 | List Price | $24,259.50 | Model Number | 202044037 | ||
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The ASUS ESC8000-E11-3W10G is a server that fits a 4U rack and is built for organisations that rely on high performance computing, AI model training, or data analytics. Two Intel Xeon Silver 4410Y processors lift clock speeds up to 3.9 GHz, so complex simulations and real time processing finish on schedule without bottlenecks.
The system includes 64 GB of DDR4 memory operating at 4800 MHz. This capacity lets research clusters, virtual machine hosts, or rendering nodes hold large datasets in memory and switch between tasks with minimal delay. A 480 GB PCIe 4.0 SSD keeps the operating system and active projects responsive, and additional drives can be added later without downtime through the hot swappable bays.
Workloads that depend on GPU acceleration benefit from a chassis that accepts up to eight dual slot GPUs. Data scientists can train neural networks, visual effects teams can render frames, and engineering departments can run finite element analysis without moving to separate hardware. Eleven PCIe 5.0 slots make room for network adapters, storage controllers, or other add in cards as project requirements evolve.
Independent cooling tunnels direct airflow over the CPUs and GPUs, maintaining consistent temperatures during long compute jobs. Four 3000 W Titanium power supplies share the load and add redundancy, so the server keeps running even if a module is removed for maintenance.
Administrators can oversee the entire platform remotely through ASUS ASMB11-iKVM, handling firmware updates, sensor monitoring, and troubleshooting from any location. An OCP 3.0 module slot is ready for higher bandwidth network cards, allowing the server to integrate into clusters or cloud infrastructure that demand faster links. These capabilities make the ESC8000-E11-3W10G a solid choice for enterprise data centers, university labs, and content creation studios that need a scalable compute foundation.
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