In a battle that seems as old as time, Advanced Micro Devices (AMD) has launched new gaming GPUs (Graphics Processing Units) based on its latest RDNA 3 microarchitecture, to do battle with chief rival NVIDIA and its latest GeForce RTX 40 series cards that launched back in October of this year. The new Radeon RX 7900 XTX and 7900 XT are AMD’s newest flagship cards, and the company has managed to deliver a competitive offering for PC Gamers at more attractive price points that deliver a solid value proposition. But before we dig into the particulars on performance and retail pricing, let’s have a high-level look at what makes AMD’s Navi 31 GPU, that powers these new gaming beasts, tick.

Late last year, the US Department of Defense (DOD) put in motion a program called RAMP-C (Rapid Assured Microelectronics Prototypes – Commercial). The goal of this program is to help create state-of-the-art commercial semiconductor design, foundry and fabrication services with access for critical DOD systems and infrastructure. In the process, the US DOD awarded Intel an agreement to provide commercial chip foundry services in the first phase of this program. In-turn Intel Foundry Services (IFS) will be working with key partners such as Synopsys.

Not only are gaming PCs with powerful graphics cards still experiencing solid demand, but the entire desktop PC platform has experienced a transformation of sorts in recent years, and was driven even further into the mainstream during the pandemic.

Intel certainly brought the fight back to AMD with its 13th Gen Core series, for creators, workstation professionals, PC enthusiasts and gamers.

Ampere Altra Max's efficiency and throughput could prove to be highly impactful in the effort to bring more sustainable data centers on line to meet the ever-growing demands for cloud-first and cloud-native solutions and services.

The new cutting-edge GPU architecture brings real innovation for PC gamers, from DLSS 3 upscaling to advancements in ray tracing acceleration, but it also offers a ton of horsepower for creators and designers as well.

Qualcomm AI engines and silicon solutions are powering more and more devices out on the connected, intelligent edge.

If any major chip player can keep up with the torrid pace required to compete in gaming and data center GPUs, it’s Intel.

Intel Unison may finally have gotten this fairly simple integration concept, that’s apparently not easy to execute, right.

There is a common misconception that NVIDIA’s GeForce RTX GPUs are meant solely for gaming and some content creation workloads, but that couldn’t be further from the truth. While NVIDIA does offer an array of powerful, purpose-built enterprise products for specialized engineering, data science, economic, and AI / ML applications, GeForce RTX GPUs can accelerate many of these workloads as well – all GPUs are massively-parallel processors after all.

NVIDIA’s Lovelace is indeed a beast slab of silicon with a more-of-everything design approach. However, its base chip architecture was also designed with new innovations in its various silicon engines, in an effort to scale performance and visuals beyond the limitations of Moore’s Law.

This new chip design tool seed program for startups could help accelerate the pace of innovation in many markets and industries.

This past week, Microsoft announced the general availability of Azure Virtual Machines featuring Ampere Altra processors, in 10 Azure regions globally. This marks another significant triumph for Ampere, which has landed wins with numerous leaders in the cloud space, including Google, Cloudflare, Tencent, and Oracle to name just a few.

Arriving in the first half of 2023, NVIDIA’s Grace Superchips will become part of a building inertia with respect to the highly scalable ArmV9 architecture in the data center, and give legacy x86 a run for its money.

Built into in the CHIPS and Science Act is approximately $52.7 billion designated for the American semiconductor industry. Of that number, roughly $39 billion is earmarked for manufacturing incentives, including $2 billion for already-designed chips currently used in automobiles and defense systems. Another $13.2 billion is targeted at R&D and workforce development, with an additional $500 million destined for international information communications technology security and semiconductor supply chain activities.

Today’s smartphones also have unmatched computational photography capabilities, thanks to processors like Qualcomm’s Snapdragon mobile platform, which has a significant amount of silicon resources dedicated specifically for image and video processing.

Wireless headsets and glasses are the better path to the metaverse to implement augmented reality, virtual reality or XR (Extended Reality) the right way. But wireless virtual realities are not easy problems to solve.

Artificial Intelligence and Machine Vision have become and ever increasing part of our daily lives, both personally and professionally. Vision AI permeates everything from assembly line manufacturing to video chats, and touches our daily activities in many ways. As such, there is currently an immense demand for developers in the field.

Recently, I was able to not only go under the hood of an Intel Arc Graphics reference platform laptop from one of its OEM partners, but I can also now share with you an extensive array of performance metrics as well.

Qualcomm just announced some new updates to its processor line-up that target a couple of key market segments. The freshly minted Snapdragon 8+ Gen 1 targets top-tier, premium Android devices, while the Snapdragon 7 Gen 1 focuses on more mainstream, gaming-centric devices.