Overview
SmartDV’s UFS (Universal Flash Storage) 5.x Device IP is a next-generation storage interface solution designed for flash memory controllers and embedded storage subsystems in mobile, automotive, AI/ML, and high-performance embedded systems. Fully compliant with JEDEC UFS 5.0 specifications, MIPI M-PHY v6.0, and MIPI UniPro v3.0 standards, it enables seamless, high-throughput communication with UFS 5.0-compatible host controllers at up to 10.8 GB/s over dual M-PHY lanes. Engineered to meet the demands of next-generation AI-driven and storage-intensive applications, it delivers the performance and reliability modern devices require.
For flash memory controller teams, building UFS 5.0 device-side compliance from scratch represents significant engineering investment and risk. SmartDV’s UFS 5.x Device IP eliminates that burden, providing a complete, spec-accurate implementation that lets teams focus on product differentiation rather than protocol complexity.
Built for design flexibility and silicon efficiency, the IP core is highly configurable for both ASIC and FPGA implementations, with a strong focus on area optimization, power management, and peak performance. Its parameterized architecture and comprehensive documentation enable fast integration and confident design bring-up across a wide range of process nodes and target applications.
Compliance and Compatibility
- Fully compliant with JEDEC JESD220H (UFS 5.0); backward compatible with UFS 4.0, 3.1, 3.0, and 2.1
- Compliant with MIPI M-PHY v6.0, MIPI UniPro v3.0, and UFS HCI (JESD223G)
- Configurable SoC interface supporting AXI-4, APB, and custom wrappers for seamless integration
- Supports integration with third-party M-PHY and UniPro components
- Compatible with ASIC and FPGA design flows across leading foundry process nodes
- Compatible with all major EDA synthesis, simulation, and linting flows
Learn more about UFS Controller IP core
As the system, software & IP complexity is increasing so is the demand of SystemC models & Virtual Platform for verification. To achieve it, the key requirements are that the models/platform should be developed fast, reusable & highly accurate. We are sharing the experience of our company 3D-IP Semiconductors Ltd. for the development of a generic Virtual Platform using TLM 2.0; reusable for any system model.
In the world of mobile and embedded electronics, storage is no longer just about capacity; it’s about how fast that data can move. As we transition into an era of on-device AI and 8K video, the standards we rely on—UFS, eMMC, and NAND—are evolving rapidly.
With the rapid development of modern mobile systems there is a great increase in the complexity involved in the IP and SOC designs and correspondingly the functional verification also becomes a challenge. To reduce time to market, IPs needed for the SOC must be developed in parallel to the top level design and should be verified in parallel. This requires strong methodology and infrastructure support which allows the SOC design team to be aligned on the requirements with IP teams. Methodology should also ensure that SOC design team gets the required data for the IP to proceed with the complexity of SOC design.
Eric Esteve
UniversalFlash Storage (UFS) was created for mobile applications and computer systems requiring high performance and low power consumption. These systems typically use embedded Flash based on the JEDEC standard eMMC. UFS was defined by JEDEC as the evolutionary replacement for eMMC offering significantly higher memory bandwidth. The standard builds on existing standards such as the SCSI command set, the MIPI Alliance M-PHY and UniPro as well as eMMC form factors to simplify adoption and development.
In today's world of increasingly intelligent devices, efficient and reliable storage is paramount. Embedded MultiMediaCard (eMMC) has emerged as a crucial component that acts as the internal solid-state non-volatile storage for a wide range of devices handling on-device AI processing. Think of it as a compact, high-performing internal drive built directly into your phone, smart camera, or other embedded systems. This blog explores what makes eMMC such a valuable solution, especially for AI applications:
