AI and ML techniques are popular topics, yet there are considerable challenges to those that want to design and build an AI accelerator for inferencing, as you need a team that understands how to model a neural network in a language like Python, turn that model into RTL, then verify that your RTL matches Python. Researchers from CERN,… Read More
At CadenceLIVE 2024 Anirudh Devgan (President and CEO of Cadence) hosted two fireside chats, one with Jensen Huang (President and CEO of NVIDIA) and one with Cristiano Amon (President and CEO of Qualcomm). As you would expect both discussions were engaging and enlightening. What follows are my takeaways from those chats.
The great things about CEO keynotes, at least from larger companies, is that you not only learn about recent advances but you also get a sense of the underlying algorithm for growth. Particularly reinforced when followed by discussions with high profile partner CEOs on their directions and areas of common interest. I saw this recently… 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
Synopsys recently hosted an information rich-webinar, modestly titled “Improving Quality, FuSa, Reliability, and Security in Automotive Semiconductors”. I think they undersold the event; this was really about managing all of those things through the lifecycle of a car, in line with auto OEMs strategies for the future of the… Read More
Dan is joined by Robert Ruiz, product management director responsible for strategy and business growth of several verification products at Synopsys. Robert has held various marketing and technical positions for leading functional verification and test automation products at various companies including Synopsys, Novas… Read More
That datacenters are power hogs is not news, especially now AI is further aggravating this challenge. I found a recent proteanTecs-hosted panel on power challenges in datacenter infrastructure quite educational both in quantifying the scale of the problem and in understanding what steps are being taken to slow growth in power… Read More
The rapid advancement of technology, including generative AI, IoT, and autonomous vehicles, is revolutionizing industries and enhancing efficiency. At the same time, such advances also generate huge amounts of data to be transmitted and processed to make sense and provide value to consumers and society as a whole. In essence,… Read More
The demand for high-bandwidth, low-latency networking solutions has never been greater. As artificial intelligence (AI) workloads continue to grow exponentially, and hyperscale data centers become the backbone of our digital infrastructure, the need for faster and more efficient communication technologies becomes imperative.… Read More
In the technology realm of artificial intelligence (AI) and high-performance computing (HPC), the demand for higher throughput and efficiency has never been greater. To meet these evolving demands, innovative memory solutions have emerged as critical enablers, paving the way for transformative advancements in computing… Read More
