- Mia
FiberMall
Answered on 5:49 am
An InfiniBand card is a network adapter that supports the InfiniBand protocol, which provides native RDMA functionality. However, some IB cards can also support Ethernet mode so that RDMA can be implemented using the iWARP or RoCE protocols. The NVIDIA Spectrum-X solution is recommended.
People Also Ask
Related Articles
800G SR8 and 400G SR4 Optical Transceiver Modules Compatibility and Interconnection Test Report
Version Change Log Writer V0 Sample Test Cassie Test Purpose Test Objects：800G OSFP SR8/400G OSFP SR4/400G Q112 SR4. By conducting corresponding tests, the test parameters meet the relevant industry standards,
Key Design Constraints for Stack-OSFP Optical Transceiver Cold Plate Liquid Cooling
Foreword The data center industry has already adopted 800G/1.6T optical modules on a large scale, and the demand for cold plate liquid cooling of optical modules has increased significantly. To
NVIDIA DGX Spark Quick Start Guide: Your Personal AI Supercomputer on the Desk
NVIDIA DGX Spark — the world’s smallest AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip — brings data-center-class AI performance to your desktop. With up to 1 PFLOP of FP4 AI
RoCEv2 Explained: The Ultimate Guide to Low-Latency, High-Throughput Networking in AI Data Centers
In the fast-evolving world of AI training, high-performance computing (HPC), and cloud infrastructure, network performance is no longer just a supporting role—it’s the bottleneck breaker. RoCEv2 (RDMA over Converged Ethernet version
Comprehensive Guide to AI Server Liquid Cooling Cold Plate Development, Manufacturing, Assembly, and Testing
In the rapidly evolving world of AI servers and high-performance computing, effective thermal management is critical. Liquid cooling cold plates have emerged as a superior solution for dissipating heat from high-power processors
Unveiling Google’s TPU Architecture: OCS Optical Circuit Switching – The Evolution Engine from 4x4x4 Cube to 9216-Chip Ironwood
What makes Google’s TPU clusters stand out in the AI supercomputing race? How has the combination of 3D Torus topology and OCS (Optical Circuit Switching) technology enabled massive scaling while
Dual-Plane and Multi-Plane Networking in AI Computing Centers
In the previous article, we discussed the differences between Scale-Out and Scale-Up. Scale-Up refers to vertical scaling by increasing the number of GPU/NPU cards within a single node to enhance individual node