NVIDIA ConnectX-8 SuperNIC 800GbE Dual-Port OSFP Ethernet Adapter

The NVIDIA ConnectX-8 SuperNIC 800GbE Dual-Port OSFP Ethernet Adapter represents the latest generation of high-performance network interface technology, engineered specifically for AI data center infrastructure. Each of the two OSFP ports delivers 800GbE line-rate performance, enabling 1.6Tbps of aggregate bidirectional throughput per adapter. The architecture combines NVIDIA's proven ConnectX platform with advanced packet processing capabilities optimized for the computational demands of large-scale AI model training, inference serving, and distributed computing workloads.

The SuperNIC integrates NVIDIA ASAP2 (Advanced Switching and Packet Processing 2) technology, which offloads critical networking functions—including congestion management, quality-of-service enforcement, and packet prioritization—directly onto the adapter silicon. This approach reduces CPU overhead, minimizes latency variability, and enables deterministic network behavior essential for tightly-coupled AI clusters. The OSFP connector format supports both 800GbE interconnect modules and maintains forward compatibility with emerging optical technologies.

Designed for Blackwell-era GPU clusters and next-generation AI infrastructure, the ConnectX-8 SuperNIC has become the interconnect standard for hyperscale AI data centers pursuing ultra-low latency collective communications, high-bandwidth model parallelism, and dense compute-to-fabric ratios. The adapter supports NVIDIA Quantum-2 InfiniBand and standard Ethernet protocols, enabling flexible fabric topology choices across GPU-accelerated workloads.

Ideal for

• Large-scale distributed AI model training requiring sub-microsecond collective communication latency across hundreds or thousands of GPUs
• Multi-node LLM inference serving with model parallelism and tensor parallelism across GPU clusters
• High-performance computing (HPC) simulations leveraging GPU acceleration with tightly-synchronized inter-node communication
• Real-time data center analytics and streaming aggregation from distributed GPU processing nodes
• Enterprise AI infrastructure consolidation combining training, fine-tuning, and inference workloads on unified fabric
• Cloud service provider GPU-as-a-Service platforms requiring deterministic, low-jitter interconnect behavior

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.