Asus ESC8000-E11P 5th Gen Intel Xeon Scalable GPU Server and ASUS ASMB11-iKVM

Asus ESC8000-E11P 5th Gen Intel Xeon Scalable GPU Server and ASUS ASMB11-iKVM in Bangladesh.

The ESC8000-E11P is a high-density 4U rack-mount GPU server designed for demanding AI, HPC and GPU-accelerated workloads. Built around dual-socket “5th Gen” Intel® Xeon® Scalable processors and capable of supporting up to eight dual-slot GPUs in the chassis, it delivers massive parallel compute performance in a compact form-factor. 
It features PCIe 5.0 switch-solution architecture, up to 32 DIMM memory slots (supporting DDR5 up to 5600 MT/s), 13 PCIe 5.0 slots, OCP 3.0 network module support, and up to four 3000 W Titanium-rated redundant power supplies for enterprise-class reliability. 
With independent CPU/GPU airflow tunnels and options for advanced cooling (including liquid-cooling support), the ESC8000-E11P is designed for sustained workloads in data-centre environments. 

ASUS ASMB11-iKVM
The ASMB11-iKVM is an integrated server management module (BMC/iKVM) designed for remote monitoring, management and control of ASUS server platforms. It supports IPMI 2.0, Redfish (where applicable), KVM-over-IP (HTML5) console access, remote firmware update, and secure hardware root-of-trust functionality. 
This module allows administrators to monitor fan speeds, voltages, temperatures, access BIOS remotely, power cycle the system and manage servers even if the operating system is down—making it ideal for remote datacentre deployments and high-availability infrastructure.

✅ Key Features
ASUS ESC8000-E11P

• Dual-socket Intel Xeon Scalable (5th Gen) support: up to ~350 W per socket, 8-channel DDR5 memory (per CPU) and large memory bandwidth. 

• Up to 8 dual-slot GPU slots with PCIe 5.0 x16 links and NVLink/Bluefield DPU support—ideal for AI training or GPU-accelerated compute. 

• High-speed I/O: Up to 13 PCIe 5.0 slots, OCP 3.0 support for high-bandwidth network modules, front hot-swap NVMe/SATA/SAS drive bays. 

• Enterprise-grade power & cooling: Supports up to four 3000 W 80 PLUS Titanium redundant PSUs, independent CPU/GPU airflow tunnels, liquid-cool-ready design. 

• Large memory capacity: 32 DIMM slots supporting RDIMM/3DS RDIMM DDR5 up to 5600/5200/4800/4400. 

ASMB11-iKVM

• Full remote console support (KVM-over-IP) allowing BIOS access and OS-independent management. 

• IPMI 2.0 compliant, supports remote power control, sensor monitoring (temperatures, voltages, fan speeds) and remote firmware update. 

• Compatible with AST2600 controller and integrated into ASUS server platforms for comprehensive out-of-band management. 

✅ Why Buy This Product
ASUS ESC8000-E11P
When your workload demands high-density GPU compute—such as large-scale AI model training, generative AI inference, scientific simulation, large-render farms or virtualised GPU clusters—this server offers serious value. The capability to install eight high-end GPUs in a single 4U chassis reduces rack space, power and cooling overhead compared to multiple smaller servers.
Its modern architecture (PCIe 5.0, DDR5 memory, OCP networking) ensures you aren’t bottlenecked by I/O, memory or interconnects — which is critical for GPU-heavy workflows. The enterprise-grade power and cooling design, combined with remote management capability (via the ASMB11-iKVM), means you get reliability, serviceability and future-proofing.
In other words: you’re investing in a scalable, high-performance platform that handles today’s heavy workloads and is ready for future expansion.

ASMB11-iKVM
Even the best server is limited without effective management. The ASMB11-iKVM module ensures your infrastructure remains manageable, remotely accessible and maintainable. For datacentres, edge-deployments or remote racks, being able to access the system out-of-band (OS down or network issues) is a major operational advantage.
It helps reduce downtime, facilitates maintenance, and provides higher operational efficiency. When paired with a server like the ESC8000-E11P, you get both raw performance and the infrastructure tools required for enterprise-scale deployment.