ASUS ESC8000-E11 8x NVIDIA A100 PCIe 80GB HBM2e GPU Server (Legacy)
Brand: ASUS | Category: GPUs
SKU: ESC8000-E11-A100 | Part #: ESC8000-E11-A100 | MPN: ESC8000-E11-A100
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About the ASUS ESC8000-E11 8x NVIDIA A100 PCIe 80GB HBM2e GPU Server (Legacy)
The ASUS ESC8000-E11 delivers 640 GB of HBM2e VRAM across eight NVIDIA A100 PCIe accelerators, each offering 2 TB/s memory bandwidth—making this 4U rackmount server a powerhouse for high-performance computing and large-scale AI workloads. Built on ASUS enterprise-class architecture, the ESC8000-E11-A100 (part number ESC8000-E11-A100) pairs dual Intel Xeon Scalable 4th Gen processors with PCIe 5.0 connectivity to eight GPU accelerators, ensuring low-latency data movement and sustained throughput for demanding parallel computing tasks.
Infrastructure teams, AI research organizations, and data center architects rely on this system for deep learning training, scientific simulation, and real-time analytics at scale. The dual-socket LGA4677 platform supports up to 32 DIMM slots of DDR5 ECC Registered memory, while redundant 3000W Platinum-rated power supplies and comprehensive IPMI 2.0 / Redfish API management ensure reliability in 24/7 production environments. Eight hot-swap 2.5-inch SATA/SAS bays plus dual M.2 NVMe slots provide flexible storage options, and dual 10GbE Base-T network interfaces enable rapid model distribution and cluster synchronization. ASUS engineering combines Intel C741 chipset stability with validated operating system support across Ubuntu, Red Hat Enterprise Linux, and VMware vSphere ecosystems. For organizations seeking to deploy proven, legacy-class GPU compute capacity, contact Omnixon Global for an RFQ on the ASUS ESC8000-E11 series.
Key Specifications
- Manufacturer: ASUS
- GPU Configuration: 8x NVIDIA A100 PCIe 80GB HBM2e with 2 TB/s memory bandwidth per card
- Processor Support: Dual Intel Xeon Scalable 4th Gen (Sapphire Rapids) on 2x LGA4677 sockets
- Memory: 32x DIMM slots (16 per CPU) supporting DDR5 ECC Registered RDIMM / LRDIMM
- GPU Interface: PCIe 5.0 x16 per accelerator
- Power Supply: Redundant 3000W Platinum-rated PSUs
Technical Specifications
| Brand | ASUS |
| Category | GPUs |
| SKU | ESC8000-E11-A100 |
| Part Number | ESC8000-E11-A100 |
| Condition | New |
| Manufacturer Part Number | ESC8000-E11-A100 |
| Form Factor | 4U Rackmount |
| CPU Support | Dual Intel Xeon Scalable 4th Gen (Sapphire Rapids) |
| CPU Sockets | 2x LGA4677 |
| Chipset | Intel C741 |
| Maximum GPU Support | 8x NVIDIA A100 PCIe 80GB HBM2e |
| GPU Interface | PCIe 5.0 x16 |
| GPU Memory per Card | 80 GB HBM2e |
| GPU Memory Bandwidth per Card | 2 TB/s |
| Memory Slots | 32x DIMM slots (16 per CPU) |
| Memory Type | DDR5 ECC Registered (RDIMM / LRDIMM) |
| Storage Bays | 8x 2.5-inch Hot-Swap SATA/SAS + 2x M.2 NVMe |
| Networking | 2x 10GbE Base-T (onboard) |
| Expansion Slots | Multiple PCIe 5.0 slots for HPC/storage/networking add-in cards |
| Power Supply | Redundant 3000W Platinum-rated PSUs |
| Management | ASUS ASMB11-iKVM, IPMI 2.0, Redfish API |
| Operating System Support | Ubuntu, Red Hat Enterprise Linux, VMware vSphere (per NVIDIA and OS vendor compatibility) |
| Chassis Dimensions | 4U standard rackmount |
| GPU TDP per Card | 300W (NVIDIA A100 PCIe) |
Frequently Asked Questions about ASUS ESC8000-E11 8x NVIDIA A100 PCIe 80GB HBM2e GPU Server (Legacy)
What server platforms accept the ASUS ESC8000-E11 8x NVIDIA A100 PCIe 80GB HBM2e GPU Server (Legacy)?
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.