Interface IP chip icon

Interface IP

GDDR6 Controller

The Northwest Logic GDDR6 controller core is designed for use in applications requiring high memory throughput including graphics, advanced driver assistance systems (ADAS), data center and artificial intelligence (AI). With the Rambus GDDR6 PHY it comprises a complete GDDR6 memory interface subsystem.

How the GDDR6 Interface works

Originally designed for graphics applications, GDDR6 is a high-performance memory solution that can be used in a variety of compute-intensive applications.

The Northwest Logic 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 is fully compliant to the JEDEC GDDR6 (JESD250) standard, supporting up to 18 Gbps per pin. The GDDR6 interface supports 2 channels, each with 16 bits for a total data width of 32 bits. At 18 Gbps per pin, the Rambus GDDR6 PHY offers a bandwidth of 72 GB/s. The PHY is available in advanced FinFET nodes for leading-edge SoC integration. 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.

GDDR6 Memory Interface Subsystem
GDDR6 Memory Interface Subsystem

The Rambus GDDR6 PHY and Northwest Logic 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.

Data Center to End Device: AI/ML Inferencing with GDDR6 cover

From Data Center to End Device: AI/ML Inferencing with GDDR6

Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inferencing. As inferencing 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. The latest iteration of the standard, GDDR6 memory, pushes data rates to 18 gigabits per second and device bandwidths to 72 gigabytes per second.

Solution Offerings

  • Supports up to 20 Gbps per pin operation
  • Can handle two x16 GDDR6 channels with one controller or independently with two controllers
  • Supports x8 or x16 clamshell mode
  • Queue-based interface optimizes performance and throughput
  • Maximizes memory bandwidth and minimizes latency via Look-Ahead command processing
  • Automatic retry on transactions where EDC error detected
  • Full run-time configurable timing parameters and memory settings
  • Supports automatic and controller-initiated training
  • DFI compatible (with extensions for GDDR6)
  • Full set of Add-On cores available including in-line ECC core
  • Supports AXI or native interface to user logic
  • Delivered fully integrated and verified with target GDDR6 PHY
  • Core (source code)
  • Testbench (source code)
  • Complete documentation
  • Expert technical support
  • Maintenance updates

Engineering Design Services:

  • Customization
  • SoC integration

Protocol Compatibility

ProtocolData Rate (Gbps) Max. Application
GDDR620AI, Data Center, Graphics
Download HBM2 and GDDR6: Memory Solutions for AI white paper

HBM2E and GDDR6: Memory Solutions for AI

Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000 driving rapid improvements in every aspect of computing hardware and software. Meanwhile, AI inference is being deployed across the network edge and in a broad spectrum of IoT devices including in automotive/ADAS. Training and inference have unique feature requirements that can be served by tailored memory solutions. Learn how HBM2E and GDDR6 provide the high performance demanded by the next wave of AI applications.