At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
Hear from Rambus Expert Steven Woo about the latest developments in AI and the implications for hardware and computing architecture. Learn about chain-of-thought and the innovations needed to support its
Steven Woo, Fellow and Distinguished Inventor at Rambus Labs, explores the transformative impact of AI 2.0 on memory and interconnect technology. He highlights how the rapid growth of AI models,
AI is a rapidly evolving space. With the meteoric rise of generative AI applications in the past year, we are now firmly in the era of AI 2.0. This is
Supercomputing 2023 brought together some of the brightest minds in the field of high-performance computing, showcasing the latest in exascale computing and the challenges faced in the pursuit of next-generation
Last week, I had the pleasure of hosting a panel at the AI Hardware & Edge AI Summit on the topic of “Memory Challenges for Next-Generation AI/ML Computing.” I was
Developments in generative AI and Large Language Models are moving at a lightning pace. Incredible amounts of data must be processed and moved to train models which at their largest now exceed one trillion parameters. Join Rambus Fellow and Distinguished Inventor, Dr. Steven Woo, as he discusses the memory and interface technologies critical to powering next-generation computing architectures for AI/ML in the data center and beyond.
AI has transformed the semiconductor industry, impacting design, manufacturing and the global economy at large. In 2025, AI adoption “in at least one business function”
Exciting developments in AI inference—like chain-of-thought prompting, which breaks down large, complex questions and prompts into smaller steps mimicking human reasoning—are opening the gates to
Rapid advancements in AI are becoming commonplace, driven by large language models (LLMs) that now exceed 1 trillion parameters. While these AI models are revolutionizing
Hear from Rambus Expert Steven Woo about the latest developments in AI and the implications for hardware and computing architecture. Learn about chain-of-thought and the
The term “memory wall” was first coined in the 1990s to describe memory bandwidth bottlenecks that were holding back CPU performance. The semiconductor industry helped
Steven Woo, Fellow and Distinguished Inventor at Rambus Labs, explores the transformative impact of AI 2.0 on memory and interconnect technology. He highlights how the
The growth of AI has been staggering, and applications are emerging across the industry that offer new generative AI capabilities powered by large language models.
Businesses across industries are going all in on artificial intelligence (AI). Major tech companies have spent billions and plan to maintain, if not increase, their
AI is a rapidly evolving space. With the meteoric rise of generative AI applications in the past year, we are now firmly in the era
Supercomputing 2023 brought together some of the brightest minds in the field of high-performance computing, showcasing the latest in exascale computing and the challenges faced
Last week, I had the pleasure of hosting a panel at the AI Hardware & Edge AI Summit on the topic of “Memory Challenges for
Developments in generative AI and Large Language Models are moving at a lightning pace. Incredible amounts of data must be processed and moved to train
