Rapidus Corporation has been making a lot of news as of late. For those unfamiliar with Rapidus, it is a fledgling Japanese semiconductor company developing bleeding-edge semiconductor manufacturing and adjacent technologies.

All told, Intel is claiming that its Gaudi 3 AI accelerator can deliver an average 50% improvement in inferencing performance with an approximate 40% improvement in power efficiency versus Nvidia’s H100. Intel is also claiming that it does so at a fraction of the cost.

Last week, out in Silicon Valley, there was a meeting of the minds in artificial intelligence and AI-driven chip design.

NVIDIA’s GTC AI conference is currently underway in San Jose, California, and true to form, NVIDIA CEO Jensen Huang unveiled a diverse array of new technologies during his keynote address, targeting numerous industries, from health care, to robotics, the automotive sector, future 6G networks, and virtually everything in between.

In an announcement made yesterday, the LSTC, in conjunction with Tenstorrent and Rapidus Corporation, revealed a multi-tiered partnership to license and leverage Tenstorrent’s leading RISC-V technologies and chiplet IP for LTSC’s planned 2nm AI Accelerator for the edge. In addition to the IP licensing part of the agreement, Tenstorrent will also collaborate with LSTC to help co-design the chip…

Qualcomm took the wraps off its FastConnect 7900 integrated WiFi solution, and it's not just AI-enhanced but also highly integrated with a number of industry firsts.

The OnePlus 12 is as close to a no compromise Android flagship phone as it gets currently, and for hundreds less than the competition.

In the age of cutting-edge applications like AI, design engineers and CTOs have an increasing critical need for a very precise, reliable heartbeat.

Longtime electronic systems design and simulation leader, Cadence, unveiled its new Millennium M1 turnkey CFD supercomputer, which leverages both CPUs and GPUs and proprietary software technologies to significantly accelerate high-fidelity CFD simulations.

If there’s one dial you can turn that will get the attention of PC gamers and content creators when it comes to graphics cards, it’s pricing. And if a major player also happens to deliver more performance and features for less, typically it’s a winning combo. Today, NVIDIA launched the first salvo in its GeForce RTX 40 Super series GPU line-up, with the new GeForce RTX 4070 Super leading the charge, along with a stronger overall value proposition.

AMD provided a deep-dive look at its latest AI accelerator arsenal for data centers and supercomputers, as well as consumer client devices, but software support, optimization and developer adoption will be key.

Despite its numerous successes in recent years, however, Synopsys isn’t done innovating. Last week the company announced a strategic collaboration with Microsoft to deliver what it is calling the Synopsys.ai Copilot, a contextually-aware generative AI (GenAI) tool that assists human design teams via conversational intelligence using natural language.

At this point, Nvidia is widely regarded as the 800 pound gorilla, when it comes to silicon and software for artificial intelligence. The foundation the company built on its CUDA software, way back in the early days of machine learning, is now paying off with explosive demand for its Hopper GPUs that accelerate inference and training in AI applications. Recommendation engines, natural language processing, and generative AI large language models like ChatGPT all are being accelerated on Nvidia platforms.

In recent years, the RISC-V architecture has gained significant traction amongst a wide variety of chipmakers. It may be less than a decade since the first RISC-V workshops were held, but today the open architecture is finding its way into a myriad of chips and technologies industry-wide. It was just a couple of weeks ago when tech giants Google and Qualcomm announced they’d be teaming up on a RISC-V based Snapdragon Wearable Platform for future Wear OS devices, and today – with the RISC-V Summit currently underway in Santa Clara – silicon design, verification and IP leader Synopsys has announced an array of new 32-bit and 64-bit ARC-V Processor IP targeting embedded automotive, storage, and IoT applications.

Many chip players have developed platforms for what’s referred to as the “software-defined vehicle,” where new features and services can be added at time of or after purchase, simply by unlocking them via software or uploading new firmware. However, to understand what’s driving this technology growth trend in the automotive industry, we need to look at the evolution of the modern digital chassis.

Snapdragon X Elite Ushers In All-New Oryon CPU And Amped Adreno GPU Architecture

At its annual Innovation event in San Jose last week, Intel demonstrated to me that not only are its new IDM 2.0 manufacturing and chip foundry plans beginning to take shape for meaningful impact, but its relentless pursuit of returning to PC chip design dominance is also starting to bear fruit. In addition, it’s now clear to me that the culmination of this two-pronged approach is showing signs of a true turnaround

Qualcomm recently held an event at which the company discussed numerous Wi-Fi 7 updates and fresh hardware and software innovations. Front and center was a new 10G Fiber Wi-Fi 7 Gateway Platform and an array of software and tools that will enable service providers to usher in what Qualcomm is calling Service Defined Wi-Fi.

Virtually all electronic devices and systems built today rely on some sort of timing circuit or clock source to derive frequencies and synchronize events, whether they be used for dispatching data in the smallest of microprocessors or across switches in massive networks. For the better part of the last century, quartz technology has been at the foundation of these timing circuits, but building on its silicon innovations over the last decade, the just-announced SiTime Epoch Platform may change that.

This is the goal of a new “ChipGPT” type tool, that Cadence Design Systems is bringing to market, which employs Large Language Models and generative AI to do much of the heavy lifting in this early semiconductor definition and design verification phase.