The ASUS ESC8000-E11 is a high-density, enterprise-grade 4U rack-mount GPU server designed for demanding AI, HPC and GPU-accelerated workloads. It supports dual sockets for 4th or 5th Generation Intel® Xeon® Scalable processors, offering up to 8 channels of DDR5 memory (per socket) and PCIe 5.0 readiness for high bandwidth I/O.
What truly stands out is its multi-GPU capacity: the server supports up to eight dual-slot active or passive GPUs (for example NVIDIA NVLink-bridged cards) in a 4U chassis, enabling very high compute density for model training, inference, simulation and rendering tasks.
Storage and expansion capabilities are robust: up to 32 DIMM memory slots (16 per CPU), multiple front hot-swap bays for NVMe/SATA/SAS drives, many PCIe Gen5 x16 slots for GPU, networking or accelerators, and redundant high-capacity 80 PLUS Titanium power supplies.
With its service-friendly design (tool-less access, airflow tunnels for CPU/GPU, liquid-cooling readiness) and enterprise features (TPM 2.0 support, remote management via iKVM), the ESC8000-E11 is well suited for deployment in data-centres, AI labs, cloud-infrastructure environments and GPU-render farms.
The ASUS ASMB11-iKVM is a management module (BMC/iKVM) designed to provide remote management, monitoring, and control of ASUS server platforms. It is IPMI 2.0 compliant and supports KVM-over-IP, HTML5 remote console, and remote firmware updates.
This module enables administrators to view system status (temperatures, voltages, fans), access BIOS remotely, capture screen during POST/boot, and manage servers even when the operating system is down. Compatible with AST2600 controller and built into select ASUS servers (including the ESC8000-E11), it supports enterprise-class remote infrastructure management.
ASUS ESC8000-E11 GPU Server:
Dual-socket (2 × Intel Xeon Scalable Gen4/Gen5) with support for up to TDP ≈ 350 W per socket.
Supports up to 32 DIMM slots (16 per CPU) with DDR5 (up to 5600 MT/s) memory.
Up to 8 dual-slot GPUs in a 4U chassis, with PCIe 5.0 x16 links and NVLink bridging support for GPU-to-GPU high bandwidth.
Extensive expansion: Multiple PCIe Gen5 slots (for GPUs, NICs, DPUs), front hot-swap bays supporting NVMe/SATA/SAS, OCP 3.0 support.
High efficiency power: Up to four redundant 3000 W 80 PLUS Titanium power supply units for mission-critical uptime.
Service-friendly and future-ready: Tool-less chassis design, independent CPU/GPU airflow tunnels, liquid-cool readiness.
ASUS ASMB11-iKVM Module:
Full remote management (KVM-over-IP) enabling remote BIOS access, OS-independent control, and out-of-band monitoring.
Compatible with major server platforms, and integrated into ASUS servers such as ESC8000-E11 as part of the management/remote infrastructure.
Secure firmware update, remote snapshot/screen capture of boot process, hardware inventory, and remote power control features.
ESC8000-E11 GPU Server:
High compute density — With eight high-end GPUs in one 4U chassis, you maximise rack-space efficiency and GPU performance per unit.
Scalable architecture — Dual-socket CPU, large memory capacity and high PCIe bandwidth mean the server is ready for present and future workloads (AI training, inference, simulation).
Future-proof investment — PCIe 5.0 readiness, NVLink support, and hot-swappable storage make this solution adaptable to next-generation hardware.
Enterprise-grade reliability — With redundant Titanium PSUs, remote management and service-friendly design, the server is built for 24/7 operation and minimal downtime.
ASMB11-iKVM Module:
Critical for remote infrastructure — Provides full remote management, ideal for datacenter servers where physical access is limited.
Reduces operational cost — Enables troubleshooting, updates and control without onsite staff, improving uptime and serviceability.
Enhances security & control — With firmware control, remote access logs and hardware-level root-of-trust, suitable for enterprise-class deployments.
Together, the server and the management module form a robust compute platform — combining raw GPU compute with enterprise manageability, making it ideal for modern data-centre workloads such as AI, HPC, rendering farms and high-density compute clusters.
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