At Rambus, we create cutting-edge semiconductor and IP products, spanning memory and interfaces to security, smart sensors and lighting.
Designed for performance and power efficiency, the GDDR6 PHY enables applications requiring high memory throughput including AI/ML, graphics and networking applications. The GDDR6 PHY is available in two versions: 24G and 16G. With the Rambus GDDR6 Controller it comprises a complete GDDR6 memory interface subsystem.
Originally designed for graphics applications, GDDR6 is a high-performance memory solution that can be used in a variety of compute-intensive applications.
The Rambus GDDR6 PHY is fully compliant to the JEDEC GDDR6 (JESD250C) standard, supporting up to 24 Gb/s per pin. The GDDR6 interface supports 2 channels, each with 16 bits for a total data width of 32 bits. At 24 Gb/s per pin, the Rambus GDDR6 PHY offers a bandwidth of 96 GB/s. Rambus works directly with customers to provide full-system signal and power integrity analysis, creating an optimized chip layout. Customers receive a hard macro solution with a full suite of test software for quick turn-on, characterization and debug.
The Rambus GDDR6 controller fully supports the bandwidth and dual channel capabilities of the Rambus GDDR6 PHY. It maximizes memory bandwidth and minimizes latency via Look-Ahead command processing. The core is DFI compatible (with extensions for GDDR6) and supports AXI or native interface to user logic.
The Rambus GDDR6 PHY and GDDR6 controller used together comprise a complete GDDR6 memory interface subsystem. Alternatively, these cores can be licensed separately to be paired with 3rd-party GDDR6 controller or PHY solutions.
Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be increasingly important.