Name: MCX755206AS-NEAT-N Nvidia ConnectX-7 VPI PCIe Adapter Card
Brand: Nvidia
SKU: MCX755206AS-NEAT-N
Price: 1749.00 USD
Availability: InStock
Rating: 4.8 (130 reviews)

Product Overview
The NVIDIA ConnectX-7 VPI PCIe Adapter Card provides enhanced networking and data acceleration via PCIe connectivity. It fits into server and data center setups, enabling AI inference and processing acceleration to support demanding computational workloads.

General Information
Brand	Nvidia
HARQ Support	No
O-RAN Support	No

Technical Information
Accelerator Type	SmartNIC
Supported Network Generation	4G LTE, 5G NR, 5G Advanced
Card Interface Type	PCIe Add-in Card
vRan Supported APIs	DPDK, SR-IOV
Interface / PCIe Slot	PCIe 5.0 x16
Cooling Type	Passive
Power Connector	None (slot-powered)
Compatibility	Servers with PCIe 5.0 x16 slots, x86/ARM COTS servers

Miscellaneous
Assembly Required	No
Eco Friendly	Yes
Compliance Standards	WEEE, RoHS, cURus, CE, FCC, UL, TUV

vRAN / FEC Features
FEC Acceleration Support	No
Supported FEC Type	Not Applicable

Physical Characteristics
Slot Width	Full-Height Full-Length
Form Factor	Full-Height Full-Length (FHFL)
Weight	3.00
Condition	Refurbished

Product Description
The NVIDIA ConnectX-7 VPI PCIe Adapter Card is engineered to deliver robust networking and acceleration functions for demanding data center and enterprise applications. It integrates seamlessly into PCIe slots, enabling high-throughput connectivity and offload capabilities. This adapter card is typically deployed by IT professionals and system integrators aiming to enhance server performance in AI inference, machine learning, and high-performance computing workloads. Key Features PCIe interface ensuring efficient and fast data exchange. Designed specifically for integration into server and data center infrastructures. Supports advanced networking protocols and acceleration technologies. Enables AI inference and data processing acceleration. Developed by NVIDIA, leveraging their expertise in GPU and networking technology. Overall, the ConnectX-7 VPI PCIe Adapter Card plays a crucial role in improving data throughput and computational offload in complex IT environments. It supports workload acceleration critical for AI and data analytics tasks within enterprise infrastructures.

Use Cases
The NVIDIA ConnectX-7 VPI PCIe Adapter Card is primarily used in data centers and enterprise environments requiring accelerated networking and AI processing capabilities. It benefits workloads involving machine learning inference, data analytics, and high-performance computing. How It's Used: Installed in servers to enhance AI inference processing speed. Deployed in data center networks to improve data throughput and reduce latency. Used for offloading compute-intensive networking tasks from CPUs. Integrated into machine learning pipelines to accelerate data preprocessing. Supports virtualization environments requiring efficient network acceleration. This adapter card enables efficient handling of AI and networking workloads, contributing to improved operational performance in complex IT infrastructures. It is a valuable component for environments focused on data-driven computing.

FAQ's
What interface does the MCX755206AS-NEAT-N use? The MCX755206AS-NEAT-N uses a PCIe interface for data connectivity and integration into server systems. Is this adapter suitable for AI workloads? Yes, it supports AI inference and data processing acceleration suitable for machine learning and AI applications. Can this card be used in standard servers? It is designed to be installed in servers and data center environments with available PCIe slots. What manufacturer produces the MCX755206AS-NEAT-N? The adapter card is manufactured by NVIDIA, known for its GPU and networking technologies. Does the card support network acceleration features? Yes, it includes networking acceleration capabilities to offload tasks from the CPU and improve data throughput. Is the MCX755206AS-NEAT-N intended for virtualization? It supports virtualization environments needing efficient network performance and acceleration.