Accelerating Physical AI with High-Speed Storage Infrastructure

Physical AI drives autonomous machines and smart infrastructure, creating demand for fast, reliable storage. Transcend’s UTE210T U.2 SSD delivers high-speed performance, data integrity, and endurance for AI computing and autonomous systems.

Physical AI is emerging as one of Gartner’s Top 10 Strategic Technology Trends for 2026, bringing artificial intelligence beyond the digital realm into the physical world. From autonomous robots and drones to intelligent manufacturing equipment and logistics systems, Physical AI enables machines to perceive, analyze, and act autonomously in real-world environments.

As AI models become increasingly sophisticated, the underlying computing infrastructure must process, transfer, and store massive volumes of data with minimal latency. High-speed optical modules and interconnect technologies are becoming critical enablers of AI factories, autonomous systems, and next-generation data centers, ensuring efficient communication between GPUs, AI accelerators, storage subsystems, and networking equipment.

In these environments, storage plays a vital role in handling training datasets, sensor information, image streams, inference workloads, and operational logs. Transcend’s UTE210T U.2 SSD is engineered to meet the demanding requirements of AI computing infrastructure. Featuring a PCIe Gen4 x4 interface, 112-layer 3D NAND flash, an 8-channel controller, and embedded DDR4 DRAM cache, the UTE210T delivers exceptional throughput of up to 7,400 MB/s read and 6,600 MB/s write speeds.

Designed for mission-critical applications, the UTE210T incorporates Power Loss Protection (PLP), anti-sulfur technology, dynamic thermal throttling, and extended-temperature support to ensure data integrity and stable operation under demanding conditions. Whether deployed in AI servers, autonomous machines, optical networking equipment, or high-performance computing platforms, the UTE210T provides the reliability and performance required to support the next generation of Physical AI.

Features

• PCIe Gen4 x4 NVMe interface for ultra-high-speed data transfer
• Up to 7,400 MB/s sequential read and 6,600 MB/s sequential write speeds
• Up to 630K IOPS random read and 460K IOPS random write performance
• 112-layer 3D NAND flash with industrial-grade reliability
• Embedded DDR4 DRAM cache for accelerated data access
• Power Loss Protection (PLP) for enhanced data integrity
• Dynamic thermal throttling and thermal sensor monitoring
• Anti-sulfur technology for harsh operating environments
• Extended-temperature operation from -20°C to 75°C
• Optional wide-temperature support from -40°C to 85°C
• Supports capacities up to 8TB

Applications

• Physical AI infrastructure
• Autonomous robots and intelligent machines
• AI training and inference servers
• Optical modules and high-speed interconnect systems
• AI factories and smart manufacturing platforms
• High-performance computing (HPC)
• Data centers and cloud computing platforms
• High-resolution image and sensor data processing

Key components 

• 112-layer 3D NAND flash
• PCIe Gen4 x4 NVMe interface
• 8-channel controller architecture
• DDR4 DRAM cache
• Power Loss Protection (PLP) with tantalum capacitor
• Dynamic Thermal Throttling
• Built-in thermal sensor
• Anti-sulfur technology
• LDPC ECC (Error Correction Code)
• Advanced Garbage Collection
• Global Wear Leveling
• TRIM support
• NCQ command for better performance
• Bad Block Management
• S.M.A.R.T. health monitoring
• AES full-drive encryption (optional)
• Extended-temperature and wide-temperature support
• Supports NVM command
• Compliant with RoHS 2.0 standards
• Compliant with NVM Express specification 1.4
• Compliant with PCI Express specification 4.0
• Endurance: 3K P/E cycles (Program/Erase cycles) guaranteed

Benefits

• Accelerates AI data processing and model execution
• Supports high-bandwidth data movement across optical interconnect architectures
• Enhances storage reliability for mission-critical AI workloads
• Protects valuable data during unexpected power interruptions
• Maintains stable operation under demanding thermal conditions
• Improves system uptime and infrastructure resilience
• Enables scalable storage for autonomous machines and AI factories
• Reduces latency in data-intensive AI computing environments