HBM2E and GDDR6: Memory Solutions for AI

Challenges and solutions for implementing memory interfaces for AI training and inferencing.


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.

Use this white paper to:

  • Learn how HBM2E and GDDR6 memory can meet the unique needs of AI/ML training and inference
  • Explore use cases such as advanced driver-assistance systems (ADAS) served by these memories
  • Look at the challenges and solutions for implementing HBM2E and GDDR6 memory interfaces

To read more, click here.

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