In the rapidly evolving landscape of high-performance computing (HPC) and artificial intelligence (AI), the demand for increased processing power, efficiency, and scalability is ever-growing. Traditional monolithic chip designs are increasingly unable to keep pace with these demands, leading to the emergence of chiplets… Read More
AI explosion is clearly driving semi-industry since 2020. AI processing, based on GPU, need to be as powerful as possible, but a system will reach optimum only if it can rely on top interconnects. The various sub-system parts (memory, processor, co-processor, network) need to be connected with interface links with ever more bandwidth… Read More
We are excited to announce that Truechip, a leading provider of Verification IP solutions, will be actively participating at DAC 2024, taking place from June 23-25 at Moscone West, San Francisco, CA. This event is a pivotal gathering for professionals in the verification industry, and Truechip’s presence will be a highlight … Read More
Peter was running late for two reasons. First, he encountered unexpected heavy traffic and arrived ten minutes late for a crucial meeting with a customer to run a compliance test of his new 6G phone design prototyped on FPGAs. This prototype’s success was pivotal, as it could secure a significant purchase order.… Read More
The increasing demands of data-intensive applications necessitate more efficient storage and memory utilization. The rapid evolution of AI workloads, particularly with Generative AI (GenAI), demands infrastructure that can adapt to diverse computational needs. AI models vary widely in resource requirements, necessitating… Read More
In the fast-paced world of Electronic Design Automation (EDA), the complexity of chip designs is continuously rising. With the burgeoning of systems such as 5G communication devices and Advanced Driver-Assistance Systems (ADAS) teeming with thousands of components, the demand for robust and efficient prototyping platforms… Read More
Artificial Intelligence (AI) continues to revolutionize industries, from healthcare and finance to automotive and manufacturing. AI applications, such as machine learning, deep learning, and neural networks, rely on vast amounts of data for training, inference, and decision-making processes. As AI algorithms become … Read More
The performance demands of data centers continue to grow, driven to large degree by the ubiquitous use of complex AI algorithms. On April 25, Embedded Computing Design held an informative webinar on this topic. Two experts looked at the problem from the standpoint of processor architecture and communication strategies, which… Read More
GenAI, the most talked-about manifestation of AI these days, imposes two tough constraints on a hardware platform. First, it demands massive memory to serve large language model with billions of parameters. Feasible in principle for a processor plus big DRAM off-chip and perhaps for some inference applications but too slow … Read More
Hyperscale data centers are evolving rapidly to meet the demands of high-bandwidth, low-latency applications, ranging from AI and high-performance computing (HPC) to telecommunications and 4K video streaming. The increasing need for faster data transfer rates has prompted a scaling of Ethernet from 51Tb/s to 100Tb/s. Numerous… Read More
