PCIe Gen 6 MCIO 16x internal cable for 128GT/s AI accelerators
CXL 3.1 cache-coherent internal link for pooled memory expansion
Internal Active Copper Cable (ACC) for ultra-low latency GPU clusters
Near-ASIC internal flyover cable assembly for 112G PAM4 signaling
Ultra-thin twinax internal cables for high-density 1U AI server racks
SFF-TA-1016 (MCIO) to SlimSAS conversion cable for legacy AI nodes
PAM4 signal integrity optimized internal cables for 1.6T Ethernet servers
Liquid-cooling compatible internal server cables for immersion AI rigs
Zero-bit-error-rate internal twinax for high-fidelity AI model training
Vietnam-manufactured PCIe 6.0 internal cables (Section 301 Tariff Exempt)
Gen-Z internal high-speed interconnects for heterogeneous AI computing
Internal optical engine cables for future-proofed 1.6T AI server backplanes
Landed-cost optimized MCIO Gen 6 cable sourcing from Vietnam factory
Custom overmolded internal high-speed cables for space-constrained GPUs
Non-China sourcing for IPC-A-620 Class 3 AI server internal link cables
PCIe Gen 6 & MCIO Internal High-Speed Cables | AI Server Interconnects by SINNHONG
As AI clusters evolve toward 1.6T networking and PCIe Gen 6 standards in 2026, the demand for zero-bottleneck internal connectivity has reached a critical point. SINNHONG, a premier China & Vietnam Manufacturer, specializes in High Speed Internal Cables for AI Servers that support the massive throughput required by today’s Large Language Models (LLMs) and GPU-intensive workloads.
Our OEM Electronics Manufacturing process is built on the IPC-A-620 Class 3 Standard, ensuring the highest level of signal integrity for MCIO (SFF-TA-1016) and CXL 3.1 interconnects. By utilizing our Vietnam-based production hub, we provide North American Tier-1 server OEMs with a Section 301 Tariff Exempt supply chain, delivering Landed-Cost Optimized solutions that bypass current trade risks. Featuring UL Listed Wire and advanced Twinax technology, SINNHONG cables are the "nervous system" of next-generation AI infrastructure.
Technical Specification Matrix: 112G/224G PAM4 Ready Systems
| Feature | Technical Specification | Compliance & Standards |
| Data Rate | PCIe Gen 6 (128GT/s) / 112G-224G PAM4 | SGE/PCI-SIG 6.0 Ready |
| Interface Types | MCIO (SFF-TA-1016), SlimSAS, Gen-Z, CXL | High-Density IO |
| Cable Tech | Ultra-Low Skew Twinax / Internal Active Copper (ACC) | Signal Boosting Technology |
| Insulation | Fluoropolymer (FEP/PFA) for Thermal Stability | Liquid-Cooling Compatible |
| Bending Radius | Ultra-Flexible / Space-Constrained Optimization | High-Density Routing |
| Latency | <5ns (Analog Equalization for ACC) | Zero-Latency Signal Path |
| Manufacturing Std | IPC-A-620 Class 3 / IATF 16949:2026 | Enterprise Data Center Grade |
| Supply Chain | SINNHONG Vietnam (Tariff-Free Hub) | US Section 301 Mitigation |
Engineering the Backbone of the 2026 AI Revolution
MCIO & CXL Gen 6 Dominance: Our MCIO internal cables are fully optimized for PCIe 6.0, providing the 128GT/s bandwidth required for the latest AI accelerators and CXL 3.1 memory pooling architectures.
Internal Active Copper (ACC) Solutions: To solve signal attenuation in dense racks, our Internal ACC utilizes analog equalization to extend signal reach without the latency or power consumption of active optical cables.
Vietnam-Made Strategic Advantage: Our Vietnam facility allows global server manufacturers to achieve Duty-Free sourcing, providing a robust Non-China Sourcing Strategy that ensures supply chain continuity.
Liquid-Cooling Compatibility: Engineered for the 2026 trend of immersion cooling, our cables feature chemical-resistant fluoropolymer jackets that maintain signal integrity while submerged in dielectric fluids.
GPU-to-GPU Fabric Links: High-speed Twinax interconnects for internal NVLink or Infinity Fabric clusters within 4U/8U AI server chassis.
Hyperscale AI Racks: Internal Active Copper Cables (ACC) for switch-to-GPU connections in ultra-high-density 800G/1.6T environments.
CXL Memory Expansion: MCIO 16x cables for cache-coherent memory expansion modules, enabling shared memory across AI server nodes.
Edge AI Micro-Servers: Compact SFF-8654 (SlimSAS) cables for low-profile, high-performance edge computing deployments.
Liquid-Cooled AI Clusters: Specialized immersion-rated internal cables for high-thermal-density GPU nodes using direct-to-chip or immersion cooling.
NVMe Gen 6 Storage Arrays: High-speed links for ultra-fast SSD arrays supporting real-time data ingestion for AI training.
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