HighPoint MCIO Connectivity Solutions
- yuetianqi
- 17 hours ago
- 2 min read
Engineered for High-Speed, Scalable PCIe Gen5 NVMe and GPU Expansion
Unified MCIO Architecture
Across HighPoint’s Entire PCIe Gen5 Switch & NVMe Adapter Family
HighPoint’s MCIO Connectivity Architecture, based on SFF-TA-1016 / SFF-9402 standards, serves as a unified, high-performance expansion platform for NVMe storage and high-speed PCIe devices.
HighPoint’s integration of MCIO (Mini CoolEdge I/O) connectors into every Gen5 NVMe and PCIe series Switch Adapter enables customers to build flexible, modular, and scalable Gen5 infrastructure. The versatile connectivity architecture enables a single adapter to support NVMe SSDs, GPU accelerators, and a wide range of other PCIe devices using industry standard cabling.
MCIO’s superior signal integrity, compact design, and support for up to PCIe Gen5 32GT/s per lane make it the new industry standard for next-generation Enterprise, AI, and Edge platforms.
HighPoint PCIe Switch & NVMe Adapter Family
NVMe Switch Pro/RAID Adapters

NVMe Switch Connectivity Adapters

MCIO Cabling Solutions for HighPoint Gen5 Adapters
HighPoint provides a versatile set of certified MCIO Gen5 cabling solutions to connect a wide range of devices — from internal NVMe SSDs to UBM backplanes and PCIe expansion cards.

Scalable Connectivity Solutions
Rackmount or Storage Enclosure Integration
Each Rocket 7628A / 1628A features 4x MCIO x8 connectors.
When connected to a 4x MCIO x8 UBM Backplane, the system can support up to 32x NVMe devices (4 connectors; × 8 drives per connector).
Ideal for large-scale storage servers, AI/ML data collectors, or edge computing enclosures.
PCIe Expansion for GPU / DPU / FPGA Integration
When paired with the HighPoint MCIO-PCIEX16-G5 Expansion bridge card, Rocket series PCIe Gen5 Switch Adapters can support industry-standard PCIe devices such as:
GPUs (e.g., NVIDIA RTX / L40 / H100)
NICs or DPUs
FPGAs or AI accelerators
Enables direct peer-to-peer (P2P) or GPU-Direct Storage data paths for latency-sensitive workloads.

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