ASUS
SKU: RS720Q-E11-RS8U-3WSTEVHS
Overview
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Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The ASUS ESC4000-E11-26WGP is a 2U rack-mount server built for high-density compute workloads in security and surveillance environments. Measuring 44 inches long (L × W × H: 44.00 × 23.50 × 15.50 inches) and weighing 115 pounds, the ESC4000-E11-26WGP fits standard 19-inch rack enclosures without special modifications. The platform centers on Intel PCH C741 chipset architecture, supporting up to 16 DIMM slots for DDR5 memory at 4800 MHz (1DPC configuration) or 4400 MHz (2DPC configuration). This memory flexibility allows you to scale RAM capacity from modest baseline deployments to memory-intensive analytics clusters without chassis redesign.
The C741 chipset and PCIe architecture support standard enterprise integrations: 10GbE network cards for high-throughput camera ingestion, NVIDIA GPU passthrough for real-time analytics acceleration, and multi-port SATA/NVMe controllers for direct-attached storage. DDR5 DIMMs from major vendors (Corsair, Kingston, Micron) are backward-compatible within JEDEC specifications, reducing procurement friction in enterprise environments. Confirm power supply availability — the ESC4000-E11-26WGP requires 2–3kW input depending on final CPU, GPU, and drive configuration; validate your PDU and UPS capacity before rack deployment.
Package contents not specified in available evidence. Contact the manufacturer for verification of included items (mounting hardware, documentation, cable management straps, etc.).
Q: What is the maximum memory capacity of the ESC4000-E11-26WGP?
A: With 16 DIMM slots supporting standard DDR5 modules, maximum capacity depends on DIMM density — typically up to 768 GB (16 × 48GB) if using high-capacity modules, though verify with ASUS for specific tested configurations and BIOS support.
Q: Can the ESC4000-E11-26WGP support GPU cards for video analytics acceleration?
A: Yes. The Intel PCH C741 chipset provides PCIe lanes for GPU expansion. Confirm slot count, power availability, and thermal design with ASUS specifications for your target GPU (NVIDIA A100, RTX 6000, etc.).
Q: What power input does the ESC4000-E11-26WGP require?
A: Typical 2U servers in this class draw 2–3 kW under full load (CPU, GPU, storage). Confirm exact PSU wattage and input voltage (120V or 240V) with ASUS or your distributor before rack PDU assignment.
Q: Is the ESC4000-E11-26WGP NDAA Section 889 compliant?
A: Compliance is not confirmed in available product data. Request explicit NDAA Section 889 documentation from ASUS or your procurement team if required for federal contracts.
Q: Does the ESC4000-E11-26WGP support NVMe storage?
A: The C741 chipset supports NVMe controllers. Verify slot availability and firmware support with ASUS. DDR5 memory and fast NVMe storage together enable real-time video indexing and archive retrieval in large surveillance deployments.
Q: What is the warranty on the ESC4000-E11-26WGP?
A: Warranty terms are not specified in available product data. Contact ASUS directly for standard hardware warranty coverage and support options.

The ESC4000-E11-26WGP is purpose-built for surveillance infrastructure where you need dense compute in a compact footprint. The 16 DDR5 DIMM slots — running at 4800 MHz in 1DPC or 4400 MHz in 2DPC configuration — give you the memory bandwidth to run parallel analytics workloads (object detection, face recognition, behavior analysis) across dozens of simultaneous video streams without choking on latency. That's the crux of modern NVR clusters: more RAM, faster memory bus, and PCIe lanes for GPU acceleration.
Technical Highlights:
Deployment Considerations:
The ESC4000-E11-26WGP is the right call for large managed surveillance installations running real-time AI on edge — distribution centers, critical infrastructure, large retail chains where you need sub-second object detection and aren't offloading to cloud. Single-site or small-cluster use cases should step down to a 1U platform; the 2U premium only pays for itself if you're maxing out memory and GPU resources.
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