- Catherine
John Doe
Answered on 7:51 am
The difference between 400G-BIDI, 400G-SRBD and 400G-SR4.2 is mainly in the naming convention and the form factor of the modules. They are all based on the same principle of using four pairs of multimode fibers, each carrying two wavelengths of 25G signals in both directions, for a total of 400G bandwidth. The term 400G-BIDI is a generic name for this technology, while 400G-SRBD and 400G-SR4.2 are specific names for the modules that implement it.
The 400G-SRBD module is based on the QSFP-DD form factor, which is a double-density version of the QSFP form factor. It has an MPO-12 connector that can be plugged into an existing QSFP port. The 400G-SRBD module can also be used for breakout applications, where it can be connected to four 100G-BIDI modules that use the QSFP28 form factor.
The 400G-SR4.2 module is based on the OSFP form factor, which is a new form factor designed for higher power and thermal performance. It has an MPO-16 connector that can support higher fiber counts and longer distances. The 400G-SR4.2 module can also be used for breakout applications, where it can be connected to four 100G-SR1.2 modules that use the SFP-DD form factor.
Both the 400G-SRBD and the 400G-SR4.2 modules are compliant with the IEEE 802.3bm protocol and the 400G BiDi MSA specification. They can support link lengths of up to 100m over OM4 multimode fiber.
People Also Ask
Key Design Principles for AI Clusters: Scale, Efficiency, and Flexibility
In the era of trillion-parameter AI models, building high-performance AI clusters has become a core competitive advantage for cloud providers and AI enterprises. This article deeply analyzes the unique network requirements of AI workloads, compares architectural differences between AI clusters and traditional data centers, and introduces two mainstream network design
Google TPU vs NVIDIA GPU: The Ultimate Showdown in AI Hardware
In the world of AI acceleration, the battle between Google’s Tensor Processing Unit (TPU) and NVIDIA’s GPU is far more than a spec-sheet war — it’s a philosophical clash between custom-designed ASIC (Application-Specific Integrated Circuit) and general-purpose parallel computing (GPGPU). These represent the two dominant schools of thought in today’s AI hardware landscape.
InfiniBand vs. Ethernet: The Battle Between Broadcom and NVIDIA for AI Scale-Out Dominance
The Core Battle in High-Performance Computing Interconnects Ethernet is poised to reclaim mainstream status in scale-out data centers, while InfiniBand continues to maintain strong momentum in the high-performance computing (HPC) and AI training sectors. Broadcom and NVIDIA are fiercely competing for market leadership. As artificial intelligence models grow exponentially in
From AI Chips to the Ultimate CPO Positioning Battle: NVIDIA vs. Broadcom Technology Roadmap Showdown
In the era driven by artificial intelligence (AI) and machine learning, global data traffic is multiplying exponentially. Data center servers and switches are rapidly transitioning from 200G and 400G connections to 800G, 1.6T, and potentially even 3.2T speeds. Market research firm TrendForce predicts that global shipments of optical transceiver modules
H3C S6550XE-HI Series 25G Ethernet Switch: High-Performance 25G/100G Solution for Campus and Metro Networks
The H3C S6550XE-HI series is a cutting-edge, high-performance, high-density 25G/100G Ethernet switch developed by H3C using industry-leading professional ASIC technology. Designed as a next-generation Layer 3 Ethernet switch, it delivers exceptional security, IPv4/IPv6 dual-stack management and forwarding, and full support for static routing protocols as well as dynamic routing protocols including
Switching NVIDIA ConnectX Series NICs from InfiniBand to Ethernet Mode: A Step-by-Step Guide
The NVIDIA ConnectX Virtual Protocol Interconnect (VPI) series network interface cards (NICs)—including models such as ConnectX-4, ConnectX-5, ConnectX-6, ConnectX-7, and ConnectX-8 (commonly abbreviated as CX-4/5/6/7/8)—represent a rare class of dual-mode adapters in the industry. A single card enables seamless switching between InfiniBand (IB) and Ethernet physical networks without hardware replacement.
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, and the test modules can be normally used for Nvidia (Mellanox) MQM9790 switch, Nvidia (Mellanox) ConnectX-7 network card and Nvidia (Mellanox) BlueField-3, laying a foundation for
Key Design Principles for AI Clusters: Scale, Efficiency, and Flexibility
In the era of trillion-parameter AI models, building high-performance AI clusters has become a core competitive advantage for cloud providers and AI enterprises. This article deeply analyzes the unique network requirements of AI workloads, compares architectural differences between AI clusters and traditional data centers, and introduces two mainstream network design
Google TPU vs NVIDIA GPU: The Ultimate Showdown in AI Hardware
In the world of AI acceleration, the battle between Google’s Tensor Processing Unit (TPU) and NVIDIA’s GPU is far more than a spec-sheet war — it’s a philosophical clash between custom-designed ASIC (Application-Specific Integrated Circuit) and general-purpose parallel computing (GPGPU). These represent the two dominant schools of thought in today’s AI hardware landscape.
InfiniBand vs. Ethernet: The Battle Between Broadcom and NVIDIA for AI Scale-Out Dominance
The Core Battle in High-Performance Computing Interconnects Ethernet is poised to reclaim mainstream status in scale-out data centers, while InfiniBand continues to maintain strong momentum in the high-performance computing (HPC) and AI training sectors. Broadcom and NVIDIA are fiercely competing for market leadership. As artificial intelligence models grow exponentially in
From AI Chips to the Ultimate CPO Positioning Battle: NVIDIA vs. Broadcom Technology Roadmap Showdown
In the era driven by artificial intelligence (AI) and machine learning, global data traffic is multiplying exponentially. Data center servers and switches are rapidly transitioning from 200G and 400G connections to 800G, 1.6T, and potentially even 3.2T speeds. Market research firm TrendForce predicts that global shipments of optical transceiver modules
H3C S6550XE-HI Series 25G Ethernet Switch: High-Performance 25G/100G Solution for Campus and Metro Networks
The H3C S6550XE-HI series is a cutting-edge, high-performance, high-density 25G/100G Ethernet switch developed by H3C using industry-leading professional ASIC technology. Designed as a next-generation Layer 3 Ethernet switch, it delivers exceptional security, IPv4/IPv6 dual-stack management and forwarding, and full support for static routing protocols as well as dynamic routing protocols including
Switching NVIDIA ConnectX Series NICs from InfiniBand to Ethernet Mode: A Step-by-Step Guide
The NVIDIA ConnectX Virtual Protocol Interconnect (VPI) series network interface cards (NICs)—including models such as ConnectX-4, ConnectX-5, ConnectX-6, ConnectX-7, and ConnectX-8 (commonly abbreviated as CX-4/5/6/7/8)—represent a rare class of dual-mode adapters in the industry. A single card enables seamless switching between InfiniBand (IB) and Ethernet physical networks without hardware replacement.