Rambus Inc. announced on Tuesday the GDDR6 (Graphics Double Data Rate) Memory PHY IP Core targeted for high-performance applications including cryptocurrency mining, artificial intelligence (AI), ADAS (advanced driver assistance systems) and networking.
Leveraging almost 30 years of high-speed interface design expertise and using advanced FinFET process nodes, the Rambus GDDR6 PHY architecture will provide high speed of up to 16 Gbps, while utilizing established packaging and testing techniques.
Rambus GDDR6 Memory PHY includes standards compliant; flexible delivery of IP core: works with ASIC/SoC layout requirements; delivers speed bins in 12 Gbps, 14 Gbps and 16 Gbps; and two 16 bit channels, for a maximum bandwidth of 512 Gbps.
The Rambus GDDR6 (Graphics Double Data Rate) Memory PHY is designed for the communication to and from high-speed, high-bandwidth GDDR6 SGRAM (Synchronous Graphics Random Access) memory.
Originally designed for graphics applications, it is a high-performance memory solution that can be used in a variety of high-performance applications that require large amounts of data computation like artificial intelligence (AI), crypto mining, deep learning, autonomous vehicles, and high-speed networking.
The Rambus GDDR6 PHY is fully compliant to the JEDEC GDDR6 (JESD250) standard, supporting up to 16 Gbps per pin. The interface supports 2 channels, each with 16 bits for a total data width of 32 bits. The Rambus GDDR6 PHY therefore supports a maximum bandwidth of up to 64 GB/s. This PHY is available in advanced FinFET nodes for leading-edge customer integration.
The Rambus system-aware design methodology used for IP Cores delivers a customer focused experience with improved time-to-market and first-time-right quality. Rambus offers flexible delivery of IP cores and will work directly with the customer to provide a full system signal and power integrity analysis, creating an optimized chip layout. In the end, the customer receives a hard macro solution with a full suite of test software for quick turn-on, characterization and debug.
