Generative AI training models are growing in both size and sophistication at a lightning pace, requiring more and more bandwidth. With its unique 2.5D/3D architecture, HBM3 can deliver Terrabytes per second of bandwidth at a system level. Join Frank Ferro to hear how HBM helps designers address the needs of state-of-the-art AI training models.
Interface IP
Powering AI/ML Inference with GDDR6 Memory
GDDR6 memory offers an impressive combination of bandwidth, capacity, latency and power. Frank Ferro will discuss how these features make it the ideal memory choice for AI/ML inference at the edge and highlight some of the key design considerations you need to keep in mind when implementing GDDR6 memory at ultra-high data rates.
High-Performance AI/ML Inference with 24G GDDR6 Memory
This webinar will explore how GDDR6, operating at data rates up to 24 Gigabits per second (Gb/s) supports the memory and performance requirements of AI/ML inference workloads through an excellent combination of high bandwidth and low latency performance. Frank Ferro and Vinitha Seevaratnam will also discuss the design and implementation considerations of GDDR6 memory subsystems with a particular emphasis on signal integrity challenges at ultra-high data rates.
Accelerating Data Interconnects with PCI Express 6.0 Interface IP
The latest generation of PCI Express® (PCIe®) 6.0, advances performance to 64 GT/s in support of advanced data center workloads and networking. In this presentation, interface technology expert Lou Ternullo will discuss the new features implemented in PCIe 6.0, such as PAM4 signaling and low-latency forward error correction (FEC). He will also show how the Rambus PCIe interface IP can support your future design requirements.
The Future of the Data Center
The world’s connectivity continues to increase, and the importance of digital data continues to grow. The unprecedented rise in data volumes is matched in importance by the value being extracted from this data. Server and data center architectures are evolving in response to the growing volume and importance of digital data, and greater intelligence is moving to the edge of the network and to the end points themselves. Our Rambus panel of technology experts will discuss the trends and challenges for future data centers in moving data faster and safer.
MIPI® Sensor Solutions for Autonomous Driving
Sensors drive the algorithms that interpret the data enabling ADAS driving systems. High bandwidth global shutter cameras, and low-latency, low-power radar, lidar and sonar sensors’ streaming data leverage MIPI CSI-2® technologies to meet challenging design requirements. This session will discuss how highly configurable MIPI CSI-2 based PHY and Controller sub-system solutions can be tailored to address the needs of autonomous driving. Example customer use cases will illustrate the implementation of these MIPI CSI-2 solutions.
