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.
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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.
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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.
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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.
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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.
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Snapdragon X Elite Ushers In All-New Oryon CPU And Amped Adreno GPU Architecture
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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
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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.
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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.
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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.
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It turns out that virtually all of the major players in the space turned to multi-die systems, which have supplanted large monolithic chips for many applications. For the uninitiated, multi-die systems are essentially chips that feature multiple silicon dies, often dubbed chiplets, integrated into a single package.
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Now it seems the US Congress is setting its sights on securing an even more pervasive network of systems and devices, known as the IoT, or the Internet of Things. However, this time the initiative could impact literally millions of devices and systems already deployed here in the US, from fire and police communications systems, to the automotive industry and critical infrastructure, like public utilities and modern smart city communication networks.
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The digitization of the modern car or truck has kicked into high gear over the past few years, from Advanced Driver Assistance Systems (ADAS) and Infotainment systems, to ECUs for engine control, PCMs for powertrain control, and more. It’s against the backdrop of this major growth trajectory that EDA (Electronic Design Automation) semiconductor tools bellwether, Synopsys, stepped out today to announce the acquisition of German automotive software testing and verification house PikeTec GmbH, for an undisclosed sum.
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NVIDIA RTX 40 Series STEM Laptops Offer Next-Level Performance Gains Over Mainstream Machines
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Artificial Intelligence is a new hotbed of opportunity, and along with this new market comes a requirement for a very different set of silicon and software solutions to accelerate and process specialized AI workloads. It’s in this burgeoning field that Tenstorrent hopes to disrupt the silicon landscape with more flexible chip architectures not based on either of the legacy X86 or Arm instruction sets and ecosystems, but instead on the open standard RISC-V instruction set architecture that’s available royalty free and open source.
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Through the pandemic, I became passionate about photography. Although I’ve technically been doing “professional” product photography for articles featured on-line and in print for a couple of decades, it was only in the last few years that I stepped up my game. As much as I love my pro camera gear though, it’s not something you can carry around perpetually. As the old saying goes, “the best camera is the one that’s with you”, and like most of you, my smartphone camera is the one that’s almost always within reach. So, when presented with the opportunity to test a couple of the top smartphones for photography, I jumped at the chance.
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This morning, AMD marked yet another milestone with the announcement of its new Versal Premium VP1902 adaptive SoC (System On Chip) products. Semiconductor chip design is challenging and expensive. As such, there’s a lot of emulation, prototyping and verification work that goes into designing the next greatest processor, accelerator or platform product, and that’s where FPGAs (Field Programmable Gate Arrays) come in. You can think of FPGAs as both a virtual and physical sandbox for chip engineers to work in and emulate their designs in pre-production silicon, before committing to sending them out to expensive tape-out and chip fab processes for production ASIC (Application Specific IC) designs.
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An ergonomic workspace is vital for comfort and long-term employee health. A poorly optimized setup can result in increased fatigue, loss of focus, or even potential injuries. A worker’s comfort and ergonomic needs, however, can vary over time, often as frequently as multiple times a day for different activities. As such, it is important for elements such as the keyboard, mouse, monitor(s), and chair to be as adjustable as possible.
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Today, at its Data Center and AI Technology event in San Francisco, Advanced Micro Devices (AMD) announced the availability of its 4th Gen EPYC data center processor expansion based on the company’s Bergamo and Genoa-X CPU architectures for cloud-native, general-purpose compute and HPC (High Performance Computing) workloads, respectively. The company also announced it will sample its new Instinct MI300X AI accelerator later this year, along with its Infinity Architecture platform that incorporates up to eight MI300X accelerators together for complex AI inferencing and training workloads.
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High-End Smartphone Camera Systems Require Massive Processing Power
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