Brand: ASUS | Category: GPUs
SKU: ESC N16-E12 | Part #: ESC N16-E12 | MPN: ESC N16-E12
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The ASUS ESC N16-E12 is a purpose-built AI supercomputing server engineered to support up to 16 NVIDIA GPUs interconnected via NVLink 5, delivering extreme parallelism and memory bandwidth for the most demanding large-scale AI training and inference workloads. Designed around a multi-node architecture with high-speed GPU-to-GPU interconnect fabric, the ESC N16-E12 eliminates traditional PCIe bottlenecks by enabling direct GPU communication at NVLink 5 speeds, making it well-suited for foundation model training, generative AI development, and high-performance scientific computing at datacenter scale.
The system is built to accommodate enterprise datacenter environments where density, thermal performance, and workload continuity are critical. The ESC N16-E12 supports redundant power delivery, enterprise-grade storage connectivity, and high-bandwidth networking interfaces to ensure that GPU compute resources are never starved of data. Its 16-GPU configuration provides a unified compute domain that can be managed as a single logical accelerator pool, reducing orchestration complexity for MLOps and HPC platform teams.
As part of the ASUS ESC server family, the N16-E12 reflects ASUS's commitment to validated, production-ready AI infrastructure. It is intended for deployment in hyperscale datacenters, national AI research facilities, cloud service operators, and large enterprises building sovereign AI capacity. The platform is compatible with leading AI frameworks including PyTorch and TensorFlow, and integrates with standard datacenter management stacks via IPMI and Redfish-compliant BMC interfaces.
| Manufacturer | ASUS |
| Manufacturer Part Number | ESC N16-E12 |
| Product Line | ESC (Enterprise Server Compute) |
| GPU Configuration | Up to 16 GPUs |
| GPU Interconnect | NVLink 5 |
| GPU Form Factor | SXM |
| Server Form Factor | Multi-node / Rack-mount |
| Target Workloads | AI Training, AI Inference, HPC, Generative AI |
| Management Interface | IPMI, Redfish-compliant BMC |
| Operating System Support | Linux (enterprise distributions) |
| AI Framework Compatibility | PyTorch, TensorFlow, CUDA ecosystem |
| Power Supply | Redundant high-efficiency PSU configuration |
| Networking | High-bandwidth interconnect support (InfiniBand / Ethernet) |
| Storage Connectivity | NVMe and enterprise SAS/SATA support |
| Thermal Design | Datacenter-class active cooling |
| Compliance | Designed for enterprise datacenter deployment standards |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | ASUS |
| Category | GPUs |
| SKU | ESC N16-E12 |
| Part Number | ESC N16-E12 |
| Condition | New |
| Manufacturer Part Number | ESC N16-E12 |
| Product Line | ESC (Enterprise Server Compute) |
| GPU Configuration | Up to 16 GPUs |
| GPU Interconnect | NVLink 5 |
| GPU Form Factor | SXM |
| Server Form Factor | Multi-node / Rack-mount |
| Target Workloads | AI Training, AI Inference, HPC, Generative AI |
| Management Interface | IPMI, Redfish-compliant BMC |
| Operating System Support | Linux (enterprise distributions) |
| AI Framework Compatibility | PyTorch, TensorFlow, CUDA ecosystem |
| Power Supply | Redundant high-efficiency PSU configuration |
| Networking | High-bandwidth interconnect support (InfiniBand / Ethernet) |
| Storage Connectivity | NVMe and enterprise SAS/SATA support |
| Thermal Design | Datacenter-class active cooling |
| Compliance | Designed for enterprise datacenter deployment standards |
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.
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.
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.
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.