Servidor Xinchuan | Fornecedor de hardware de servidor empresarial
Your GPU Cluster Is Sitting Idle. The Problem Is Not the GPUs.
You have eight XE9680 servers, each with 8x H100 GPUs. Aquilo é 64 H100s. Your training job should finish in 12 horas. Monitoring shows GPU utilization at 45%. The bottleneck is not compute — it is the 100GbE fabric between the nodes. Every gradient synchronization step stalls waiting for the network. That fabric is where the NDR200 InfiniBand adapter earns its place.
The Mellanox ConnectX-7 is a single-port 400Gb/s InfiniBand NDR200 (or 400GbE Ethernet) adapter built for the inter-node communication that multi-GPU AI training demands. With RDMA, GPUDirect, and in-network computing acceleration, it moves data between GPU memory and the network fabric without touching the host CPU or system memory.
Especificações técnicas
| Parâmetro | Especificação |
|---|---|
| Modelo | Mellanox ConnectX-7 (MCX755106AS-HEAT or equivalent) |
| Configuração da porta | 1x QSFP112 (400Gb/s) or 2x QSFP56 (200Gb/s), configurable |
| InfiniBand | NDR200 (400 Gb/s per port), backward-compatible with HDR100/EDR/FDR |
| Ethernet | 400Carregar / 200Carregar / 100Carregar / 50Carregar / 25Carregar / 10Carregar (RoCE v2) |
| Host Interface | PCIe 5.0 x16 (512 Gb/s theoretical) |
| RDMA | InfiniBand RDMA, RoCE v2, GPUDirect RDMA, GPUDirect Storage |
| Message Rate | Até 215 million messages per second |
| Latência (BI) | < 600 nanoseconds (port-to-port) |
| In-Network Computing | SHARP (Scalable Hierarchical Aggregation and Reduction Protocol), MPI Allreduce offload |
| Criptografia | Inline TLS/DTLS, IPsec, MACsec (hardware-accelerated, line rate) |
| CPU Offload | RDMA, NVMe-oF, SR-IOV, VirtIO, vDPA |
| NVIDIA Networking | NVIDIA Magnum IO, NCCL, UFM (Unified Fabric Manager) compatible |
| Fator de forma | Low-profile PCIe, FHHL bracket included |
| Poder | ~25W typical, ~38W max |
| Físico | 167 x 69 milímetros (cartão LP padrão) |
| Temperatura | 0°C a 55 °C |
| OS Support | RHEL 8.6+/9.x, Ubuntu 20.04/22.04/24.04, SLES 15 SP4+, VMware ESXi 8.0+, Servidor Windows 2022/2025 |
| Garantia | 3-ano (fabricante) |
NDR200 InfiniBand vs 400GbE Ethernet — Which Fabric for AI?
| Decision Factor | NDR200 InfiniBand | 400GbE RoCE v2 |
|---|---|---|
| Tail latency (P99.9) | Consistent, predictable. In-network congestion control. | Varies with DCQCN/ECN tuning. Requires expertise. |
| GPU Direct RDMA | Fully supported and optimized (NVIDIA Magnum IO stack) | Supported but requires careful buffer registration. |
| SHARP (in-network allreduce) | Suportado. Reduces gradient sync time by up to 30%. | Not available. Allreduce runs on host CPUs. |
| Switch ecosystem | NVIDIA Quantum-2 NDR switches. Managed fabric (UFM). | Any 400GbE switch (Arista, Cisco, NVIDIA Spectrum-4). |
| Learning curve | Higher. Requires InfiniBand subnet manager and fabric management. | Lower. Familiar Ethernet tooling, IP-based routing. |
| Best for | Dedicated AI training clusters, HPC, GPU-intensive workloads. | Converged data center fabrics, mixed AI+enterprise workloads. |
| Cost (per port, adapter + trocar) | Premium. Higher per-port cost. | Lower. Ethernet ecosystem scale economics. |
Plataformas de servidor compatíveis
PCIe 5.0 x16 slot required for full bandwidth. Compatible with Dell PowerEdge R770, R7715, XE9680, xFusion G5500 V7, 2488H V7, 5885H V7, and any server with a PCIe 5.0 x16 electrical slot and adequate chassis airflow. Single-port QSFP112 configuration requires a QSFP112 passive copper DAC or active optical cable to the switch.
Fonte através de Xincuan
We supply ConnectX-7 adapters pre-installed in Dell and xFusion servers, or as standalone upgrade kits. Preços direto da fábrica, 3-ano de garantia, e envio global.
