ASUS ESC4000-E11 4x NVIDIA RTX 6000 Ada 48GB PCIe Workstation-Class Server
Brand: ASUS | Category: GPUs
SKU: ESC4000-E11-RTX6K | Part #: ESC4000-E11-RTX6K | MPN: ESC4000-E11-RTX6K
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About the ASUS ESC4000-E11 4x NVIDIA RTX 6000 Ada 48GB PCIe Workstation-Class Server
PCIe 5.0 and dual redundant 3000W power supplies determine the infrastructure requirements for this ASUS enterprise-class GPU server—critical considerations for data center planning and chassis selection. The ASUS ESC4000-E11-RTX6K is a 2U rackmount workstation-class server engineered for AI, machine learning, scientific computing, and high-performance visualization workflows that demand massive parallel processing capability. This system pairs dual Intel Xeon Scalable 4th Generation (Sapphire Rapids) processors with four NVIDIA RTX 6000 Ada generation GPUs, delivering 192GB of combined ECC GDDR6 memory across the compute stack.
With 18,176 CUDA cores and 568 Tensor Cores per GPU, plus 960 GB/s per-card memory bandwidth, the ESC4000-E11-RTX6K addresses demanding inference, training, and rendering tasks in a space-efficient 2U form factor. The system accommodates up to 32 DDR5 ECC DIMM slots across both CPUs, supports up to 8 hot-swap NVMe/SATA/SAS storage bays, and includes ASUS enterprise management via ASMB11-iKVM with IPMI 2.0 and Redfish API support. Network connectivity comprises 2 x 1GbE onboard interfaces plus dedicated IPMI management. For AI infrastructure teams, storage architects, and IT procurement professionals seeking validated GPU server platforms that balance density with thermal and power management, this configuration offers proven ASUS reliability in a turnkey package.
Key Specifications
- Manufacturer Part Number: ESC4000-E11-RTX6K
- GPU Configuration: 4 x NVIDIA RTX 6000 Ada (48GB ECC GDDR6 per card, 192GB total)
- CPU Platform: Dual Intel Xeon Scalable 4th Generation (Sapphire Rapids), LGA4677 socket
- System Memory: 32 x DDR5 ECC RDIMM / 3DS RDIMM slots (16 per CPU)
- Storage: Up to 8 x 2.5-inch hot-swap NVMe/SATA/SAS bays
- Power Supply: Redundant 80 PLUS Platinum, 3000W (2+1 redundant configuration)
- Management: ASUS ASMB11-iKVM, IPMI 2.0, Redfish API
- Network: 2 x 1GbE (Intel I210) + 1 x IPMI management port
Technical Specifications
| Brand | ASUS |
| Category | GPUs |
| SKU | ESC4000-E11-RTX6K |
| Part Number | ESC4000-E11-RTX6K |
| Condition | New |
| Manufacturer Part Number | ESC4000-E11-RTX6K |
| Product Line | ESC (Enterprise Server / GPU Server) |
| Form Factor | 2U Rackmount |
| CPU Platform | Dual Intel Xeon Scalable 4th Generation (Sapphire Rapids), LGA4677 socket |
| PCIe Generation | PCIe 5.0 |
| Number of GPUs | 4 x NVIDIA RTX 6000 Ada Generation |
| GPU Architecture | NVIDIA Ada Lovelace |
| GPU Memory (per card) | 48GB ECC GDDR6 |
| Total GPU Memory | 192GB ECC GDDR6 |
| CUDA Cores (per GPU) | 18,176 |
| Tensor Cores (per GPU) | 568 (4th Generation) |
| RT Cores (per GPU) | 142 (3rd Generation) |
| GPU Memory Bandwidth (per card) | 960 GB/s |
| System Memory Type | DDR5 ECC RDIMM / 3DS RDIMM |
| Memory Slots | 32 x DIMM slots (16 per CPU) |
| Storage Bays | Up to 8 x 2.5-inch hot-swap NVMe/SATA/SAS bays (configuration-dependent) |
| Network (Onboard) | 2 x 1GbE (Intel I210) + 1 x dedicated IPMI management port |
| Management | ASUS ASMB11-iKVM, IPMI 2.0, Redfish API |
| Power Supply | Redundant 80 PLUS Platinum, 3000W (2+1 redundant configuration) |
| Operating System Support | Windows Server, Ubuntu Server, Red Hat Enterprise Linux, VMware vSphere |
Frequently Asked Questions about ASUS ESC4000-E11 4x NVIDIA RTX 6000 Ada 48GB PCIe Workstation-Class Server
What server platforms accept the ASUS ESC4000-E11 4x NVIDIA RTX 6000 Ada 48GB PCIe Workstation-Class Server?
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.