The NVIDIA ConnectX-7 Infiniband/Ethernet Host Bus Adapter offers versatile networking capabilities suitable for demanding enterprise, AI, scientific computing, and hyperscale cloud data centers. Designed with a half-length, half-height form factor, this adapter seamlessly fits into standard server configurations and supports both InfiniBand and Ethernet protocols, making it an ideal choice for diverse high-performance networking environments. The adapter's PCI Express 5.0 x16 interface ensures fast, reliable data transfer, enabling efficient handling of data-intensive workloads with minimal latency. Constructed with environmental compliance in mind, the NVIDIA ConnectX-7 adheres to RoHS standards, reflecting its environmentally conscious design. The package includes the main adapter card along with short and tall brackets, providing flexibility for different server chassis. Its compact form factor and robust performance make it suitable for modern data centers that require scalable and feature-rich networking solutions. This adapter is built to support high throughput and low latency, essential for AI training, scientific simulations, and large-scale cloud operations, ensuring future-proof performance for evolving workloads. For easy installation and integration, the NVIDIA ConnectX-7 supports plug-in card form factor compatible with various server architectures. Its versatile capabilities and reliable performance make it a valuable addition for network infrastructure upgrades, offering seamless connectivity and high-speed data transfer essential for enterprise and hyperscale data centers.
Features:
Supports both InfiniBand and Ethernet protocols for versatile networking solutions
PCI Express 5.0 x16 interface delivers high-speed data transfer and outstanding performance
Half-length and half-height form factor for easy integration into standard server chassis
Environmental compliance with RoHS standards ensures eco-friendly design
Includes both short and tall brackets for flexible installation options
Designed for demanding workloads such as AI, scientific computing, and cloud data centers
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