ASUS ESC4000-E11 L40S 48GB GPU Server (4-GPU, Intel Xeon)

ASUS ESC4000-E11 L40S 48GB GPU Server (4-GPU, Intel Xeon)

Brand: ASUS | Category: GPUs

SKU: ESC4000-E11-L40S | Part #: ESC4000-E11-L40S | MPN: ESC4000-E11-L40S

Contact for Pricing — Request a Quote

Request a Quote Contact Us

About the ASUS ESC4000-E11 L40S 48GB GPU Server (4-GPU, Intel Xeon)

AI training and inference workloads demand GPU servers built on modern accelerator architecture. The ASUS ESC4000-E11-L40S delivers this capability through four integrated NVIDIA L40S GPUs, each with 48 GB of GDDR6 memory, built on NVIDIA Ada Lovelace architecture. This 2U rack server combines dual Intel Xeon Scalable 4th Gen (Sapphire Rapids) processors with PCIe 5.0 connectivity, positioning it as a high-performance platform for organizations requiring dense GPU compute in a compact form factor. The part number ESC4000-E11-L40S ensures precise procurement and configuration clarity across your IT infrastructure.

For AI infrastructure teams and storage architects, this ASUS platform offers substantial memory and expansion flexibility. The system supports 32 x DIMM slots for DDR5 memory, eight 2.5-inch hot-swap storage bays for NVMe/SATA/SAS drives, and two M.2 slots for boot or cache acceleration. Redundant 80 PLUS Platinum power supplies and hot-swap fan modules provide enterprise-grade reliability, while dual 10GbE LAN ports plus dedicated IPMI management enable seamless datacenter integration. The ASUS ASMB11-iKVM management card supports IPMI 2.0, KVM-over-IP, and Redfish API for remote administration. With support for Windows Server, Red Hat Enterprise Linux, Ubuntu Server, and VMware vSphere, deployment flexibility spans diverse IT environments.

Typical Workloads and Deployment Scenarios

  • Large-scale AI model training and fine-tuning with 192 GB total GPU memory (4 x 48 GB) for handling complex datasets
  • Real-time inference serving where low-latency GPU acceleration across four processors meets production demands
  • High-performance computing (HPC) simulations requiring sustained compute throughput in standard 19-inch rack environments
  • Machine learning pipeline acceleration supporting data preprocessing, feature engineering, and model deployment stages
  • Multi-tenant GPU virtualization for organizations consolidating diverse workloads on a single 2U chassis

Contact Omnixon Global for a detailed RFQ and platform configuration consultation tailored to your specific deployment requirements.

Technical Specifications

BrandASUS
CategoryGPUs
SKUESC4000-E11-L40S
Part NumberESC4000-E11-L40S
ConditionNew
Manufacturer Part NumberESC4000-E11-L40S
Form Factor2U Rack Server
CPU SupportDual Intel Xeon Scalable 4th Gen (Sapphire Rapids), Socket LGA4677
Maximum CPU TDP Support350W per socket
Memory Slots32 x DIMM slots (DDR5 RDIMM / 3DS RDIMM)
GPU Slots4 x double-wide full-length PCIe GPU slots
Integrated GPUs4 x NVIDIA L40S 48 GB GDDR6
GPU Memory (Total)192 GB GDDR6 (4 x 48 GB)
GPU ArchitectureNVIDIA Ada Lovelace
PCIe GenerationPCIe 5.0
Storage Bays8 x 2.5-inch hot-swap NVMe/SATA/SAS bays
M.2 Slots2 x M.2 slots for boot or cache storage
NetworkDual 10GbE LAN (Intel controller) + 1 x dedicated IPMI/management LAN
ManagementASUS ASMB11-iKVM (IPMI 2.0, KVM-over-IP, Redfish API)
Power SupplyRedundant hot-swap 80 PLUS Platinum PSUs
Expansion SlotsAdditional PCIe 5.0 slots for NIC or HBA expansion
Operating System SupportWindows Server, Red Hat Enterprise Linux, Ubuntu Server, VMware vSphere
Chassis Dimensions2U rack chassis, standard 19-inch rack-mount compatible
CoolingHot-swap redundant fan modules with front-to-rear airflow

Frequently Asked Questions about ASUS ESC4000-E11 L40S 48GB GPU Server (4-GPU, Intel Xeon)

What server platforms accept the ASUS ESC4000-E11 L40S 48GB GPU Server (4-GPU, Intel Xeon)?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

How long is the lead time on AI GPUs?

Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Can you help with NVIDIA AI Enterprise licensing?

Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.