The 800G OSFP SR8 (2xSR4) Flat Top is a pluggable optical module purpose-built for high-density AI and cloud computing environments utilizing NVIDIA-Mellanox networking hardware. Operating at 850nm with 8x112G PAM4 signaling, it delivers 800Gbps aggregate bandwidth over 100 meters of OM4 multimode fiber. Featuring a Flat Top form factor designed for switches with internal cooling or specialized liquid-cooled racks, it connects via Dual MPO-12/APC interfaces. Compliant with IEEE 802.3ck and OSFP MSA, this module provides the low-latency reliability required for 800G AI infrastructure connectivity in hyperscale GPU clusters.
As GPU clusters expand, selecting specialized 800G AI infrastructure connectivity solutions has become critical for maintaining zero-packet-loss fabrics in modern high-performance computing environments.
Connection Solution of 800G OSFP Fiber Tranceiver
Built for 800Gbps cabling system, below solution combines an 800G OSFP SR8 fiber transceiver with MTP|MPO cable. 800G fiber transceiver works seamlessly with NVIDIA Spectrum-4 switches and similar equipment, delivering reliable 800G high speed data connectivity.
Flat Top Design 800G Fiber Transceiver
800G OSFP fiber optic transceiver features a flat top design, which is specifically optimized for liquid cooled environments, a key advantage for modern high density data centers and high power computing systems. Come with excellent thermal performance, 800G OSFP fiber transceiver ensures stable operation even in high temperature, closed liquid-cooled cabinets, perfectly matching the operating requirements of high end computing equipment. In addition, Op2Link also offer OSFP fiber transceiver module with finned tops to meet your fiber optic project required.
800G Fiber Transceiver Compatible with Mellanox & NVIDIA
800G OSFP fiber transceiver is fully compatible with Mellanox/NVIDIA devices, enabling seamless interconnection and plug and play functionality with Mellanox/NVIDIA’s high speed switches and servers, greatly reducing deployment costs and compatibility risks for users.
Comprehensive Testing Increases Reliability
As a professional osfp pam4 wholesaler, Op2Link is committed to providing high quality optical transceivers that undergo stringent testing procedures. All of 800G transceivers will 100% tested before shpping. Through comprehensive and strict testing, the stability and consistency of the quality of the optical module can be ensured, thereby effectively improving the performance and reliability of the optical transceiver module.
Application and Solutions Powering the AI Era
The 800G OSFP SR8 Flat Top is a key component for Generative AI Training, GPU-to-GPU Clustering, and InfiniBand Networking. It provides the massive throughput required for high-frequency data exchange in the most demanding cloud environments.
NVIDIA-Mellanox Switch Interconnects Verified for seamless performance in InfiniBand Quantum-2 environments.
Liquid-Cooled Data Centers The flat surface is optimized for high-efficiency thermal contact in advanced cooling racks.
Spine-Leaf Breakout Supports 800G to 2x400G migration paths using existing MPO-12 cabling.
To better understand how these modules fit into your long-term scaling strategy, explore our technical guide on optical transceiver technology trends for AI and cloud infrastructures.
For engineers deploying Mellanox Quantum-2 or Spectrum-4 switches, the choice of OSFP top is not just aesthetic—it is functional. While most air-cooled switches require Finned Top, some specialized high-density or liquid-cooled environments demand the Flat Top. At Op2Link, we provide Mellanox-native EEPROM coding, ensuring 100% interoperability with NVIDIA’s InfiniBand and Ethernet management tools.
Solving Your High-Speed Infrastructure Challenges
Deploying 800G requires precision in both coding and physical heat dissipation. Op2Link provides validated solutions for complex multi-vendor environments. We help you navigate the nuances of choosing the right 800G optics to ensure your AI compute cluster operates with maximum uptime and minimum latency.
