High‑performance fixed‑configuration switch delivering 40 ports of 200Gb/s (or 80 ports of 100Gb/s) with 16 Tb/s non‑blocking throughput, in‑network computing acceleration, and ultra‑low latency — purpose‑built for HPC, AI clusters, and hyperscale data centers.
The NVIDIA Quantum QM8700 series (including MQM8700‑HS2F) represents a new class of 200G InfiniBand smart switches, engineered to eliminate bottlenecks in AI, high‑performance computing, and cloud storage environments. With up to forty 200Gb/s ports in a compact 1U form factor, the switch delivers 16 Tb/s aggregate throughput with cut‑through latency below 130 nanoseconds. Built on NVIDIA’s scalable InfiniBand architecture, the QM8700‑HS2F features an embedded x86 dual‑core processor, integrated Subnet Manager (up to 2,000 nodes), and support for NVIDIA SHARP™ technology, accelerating collective operations by offloading communication from servers to the network fabric.
Designed for extreme flexibility, each 200Gb/s QSFP56 port can be split into two independent 100Gb/s ports, doubling the radix for dense top‑of‑rack deployments. The QM8700‑HS2F variant (P2C airflow) is a fully managed switch running MLNX‑OS®, ideal for enterprises seeking high‑performance networking with simple out‑of‑the‑box management, CLI, WebUI, SNMP, and JSON APIs.
Unlike conventional switches that only forward packets, NVIDIA Quantum switches embed scalable hierarchical aggregation and reduction protocol (SHARP) engines directly in the silicon. Data traversing the switch can be processed — aggregated, reduced, or broadcast — without multiple round‑trips to server endpoints. This dramatically accelerates collective operations like all‑reduce, barrier, and broadcast, which are critical for deep learning frameworks (TensorFlow, PyTorch via NCCL) and MPI‑based HPC simulations. The result is up to 10x performance gains for communication‑intensive workloads and reduced CPU overhead, freeing compute resources for actual application processing.
The QM8700‑HS2F also supports adaptive routing and congestion control algorithms that automatically balance traffic across multiple paths, delivering near‑line‑rate throughput even under high contention.
The QM8700 series works seamlessly with NVIDIA ConnectX‑6, ConnectX‑7, and BlueField DPU adapters, supporting both InfiniBand and mixed fabrics. It is backward compatible with previous InfiniBand speeds (EDR 100Gb/s, FDR 56Gb/s). Fully interoperable with existing NVIDIA Quantum fabric switches, and managed via unified fabric manager (UFM) for telemetry and predictive monitoring. Operating system support includes major Linux distributions (RHEL, Ubuntu, Rocky Linux) and NVIDIA certified GPU servers.
| Parameter | Detail |
|---|---|
| Model Number | MQM8700-HS2F |
| Ports & Speed | 40 QSFP56 ports; up to 200Gb/s per port; supports split into 80 ports of 100Gb/s |
| Aggregate Throughput | 16 Tb/s non‑blocking |
| Switching Latency | < 130ns (cut‑through) |
| Management | Fully managed, on‑board x86 dual core CPU (Broadwell ComEx D‑1508 2.2GHz), 8GB system memory; MLNX‑OS, CLI, WebUI, SNMP, JSON, Subnet Manager integrated |
| Power Supply | 1+1 redundant hot‑swappable, 100‑127VAC / 200‑240VAC, 80 Plus Gold, ENERGY STAR |
| Airflow | P2C (port‑to‑power) — MQM8700-HS2F, standard depth |
| Dimensions (HxWxD) | 1.7 x 17 x 23.2 in (43.6 x 433.2 x 590.6 mm), 1U |
| Weight | With 2 PSUs: 12.48 kg / 27.5 lbs |
| Operating Temperature | 0°C to 40°C |
| Certifications | CE, FCC, VCCI, ICES, RCMS, RoHS compliant |
| Warranty | 1 year limited hardware warranty (extendable options available) |
| Orderable Part Number (OPN) | Description | Airflow | Management |
|---|---|---|---|
| MQM8700-HS2F | NVIDIA Quantum 200Gb/s InfiniBand switch, 40 QSFP56, dual AC PSU, x86 dual core, standard depth, P2C airflow, rail kit | P2C (Port to Power) | Managed (MLNX-OS) |
| MQM8700-HS2R | Same as above but C2P airflow (power‑to‑port) | C2P | Managed |
| MQM8790-HS2F | Unmanaged variant, P2C airflow, suitable for UFM external management | P2C | Externally managed (UFM ready) |
| MQM8790-HS2R | Unmanaged, C2P airflow | C2P | Externally managed |
Note: For high‑density 100G deployments using split cables, both managed and unmanaged SKUs provide the same port flexibility. Choose MQM8700‑HS2F for integrated subnet management and full OS access.
Starsurge Group provides end‑to‑end lifecycle services for NVIDIA Quantum switches, including pre‑sales architecture consulting, proof‑of‑concept testing, and global logistics. Our experienced technical team offers remote troubleshooting, firmware upgrades, and RMA coordination. Warranty extension options and 24x7 priority support available upon request. Multilingual support for EMEA, Americas, and APAC regions ensures rapid response for mission‑critical deployments.
Hong Kong Starsurge Group Co., Limited is a technology‑driven provider of network hardware, IT services, and system integration solutions. Founded in 2008, the company serves customers worldwide with products including network switches, NICs, wireless access points, controllers, cabling, and infrastructure equipment. Backed by an experienced sales and technical team, Starsurge supports industries such as government, healthcare, manufacturing, education, finance, and enterprise.
With a customer‑first approach, Starsurge focuses on reliable quality, responsive service, and tailored solutions. As an authorized partner for leading networking brands, we deliver global logistics, custom software development, and multilingual support — helping clients build efficient, scalable, and dependable network infrastructure.

| Component | Supported Models / Types |
|---|---|
| Adapters | NVIDIA ConnectX‑6, ConnectX‑7, BlueField‑2 / BlueField‑3 InfiniBand |
| Cables & Optics | QSFP56 DAC (passive up to 3m, active up to 5m), AOC, optical transceivers (SR4, LR4) |
| Operating Systems | Linux (RHEL 8/9, Ubuntu 20.04/22.04, Rocky Linux), Windows Server with InfiniBand stack |
| Management Platforms | MLNX-OS, NVIDIA UFM, Prometheus/Grafana via SNMP exporter |
| Topology Support | Fat Tree, DragonFly+, 2D/3D Torus, SlimFly |