Training and inferencing comprise two crucial aspects of AI processing in datacenters. Learn the differences between the two, and the cost-efficiency issues involved. The execution of artificial intelligence (AI) workloads in datacenters (Figure 1) involves two crucial processes: training and inference. At first glance, these processes appear similar—both involve reading data, processing it, and generating … Read more
Part 2 of 2 – Performance Validation Across Hardware Blocks and Firmware in SoC Designs Part 2 explores the performance validation process across hardware blocks and firmware in System-on-Chip (SoC) designs, emphasizing the critical role of Hardware-Assisted Verification (HAV) platforms. It outlines the validation workflow driven by real-world applications, and best practices for leveraging HAV … Read more
The rapid evolution of artificial intelligence (AI) has been marked by the rise of large language models (LLMs) with ever-growing numbers of parameters. From early iterations with millions of parameters to today’s tech giants boasting hundreds of billions or even trillions, the sheer scale of these models is staggering. Table 1 outlines the number of parameters … Read more
Part 1 of 2 – Essential Performance Metrics to Validate SoC Performance Analysis Part 1 provides an overview of the key performance metrics across three foundational blocks of System-on-Chip (SoC) designs that are vital for success in the rapidly evolving semiconductor industry and presents a holistic approach to optimize SoC performance, highlighting the need for … Read more