AMD announced four new processors within its Ryzen Mobile 7040 series, taking more steps toward what AMD believes will eventually be a future full of artificial intelligence-enhanced PCs powered by its XDNA AI architecture. Two of these new chips include Ryzen AI, hardware AI logic supported by new instructions. That said, you'll want to buy laptops based upon new chips for what they can deliver now, more than for their potential for AI in the future. And AMD's latest laptop processors look to pack plenty of punch. These new 7040U processors wield not only AMD's latest Zen 4 compute cores, but also powerful integrated Radeon graphics based on the same RDNA 3 architecture found in the latest and greatest Radeon graphics cards.

VITORIA-GASTEIZ, Spain, Sept. 19, 2022 -- Acceleration Robotics --a robotics semiconductor startup based in the Basque Country, Spain-- will collaborate with AMD, the industry's high performance and adaptive computing leader to expand its presence in the robotics market through the development of new robotics capabilities for AMD Kria system-on-modules (SOMs) and adaptive system-on-chips (SoCs). Previous to the AMD acquisition of Xilinx, Acceleration Robotics had worked closely with Xilinx to create various robotics-specific hardware designs and fulfill the objective of enabling roboticists to use Xilinx adaptive computing solutions with the Robot Operating System (ROS). The relationship is now expanding into AMD products optimized for ROS 2, which presents a more modern and popular robotics framework. ROS is the common language in robotics and most companies building real robots use it today. The ROS-based robotics market was valued at $42.69 billion in 20211 and is projected to reach $87.92 billion in 2030.

AMD plans to introduce processors next year that integrate AI engines from the company's recently acquired Xilinx FPGA business unit, which helped the chip designer deliver high sales growth in the first quarter along with the company's traditional PC and server businesses. CEO Lisa Su disclosed the plans for new AI-fueled CPUs during her company's first-quarter earnings call Tuesday, where she said the resulting microprocessors will "enable industry-leading inference capabilities" as part of broader plans to capitalize on AMD's $49 billion Xilinx acquisition. The AI engines are already being used in Xilinx's FPGA-based products for embedded and edge applications, including image recognition for cars, according to Victor Peng, Xilinx's former CEO who now leads AMD's Adaptive and Embedded Computing Group. Peng said AMD is working on developing "unified" software that will help developers take advantage of the new AI capabilities for both inference and training in datacenters and at the edge. Overall, Su said, Xilinx will allow AMD to have a "much broader set of offerings" in the AI hardware space that goes beyond the company's current capabilities with CPUs and GPUs.

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SANTA CLARA, CA, USA, Feb 15, 2022 – AMD (NASDAQ: AMD) announced the completion of its acquisition of Xilinx in an all-stock transaction. The acquisition, originally announced on October 27, 2020, creates the industry's high-performance and adaptive computing leader with significantly expanded scale and the strongest portfolio of leadership computing, graphics and adaptive SoC products. AMD expects the acquisition to be accretive to non-GAAP margins, non-GAAP EPS and free cash flow generation in the first year. "The acquisition of Xilinx brings together a highly complementary set of products, customers and markets combined with differentiated IP and world-class talent to create the industry's high-performance and adaptive computing leader," said AMD President and CEO Dr. Lisa Su. "Xilinx offers industry-leading FPGAs, adaptive SoCs, AI engines and software expertise that enable AMD to offer the strongest portfolio of high-performance and adaptive computing solutions in the industry and capture a larger share of the approximately $135 billion market opportunity we see across cloud, edge and intelligent devices." Former Xilinx CEO Victor Peng will join AMD as president of the newly formed Adaptive and Embedded Computing Group (AECG).

The companies are collaborating to bring enterprise-grade Linux to the world of adaptive SoCs to accelerate the development of new software-defined devices across all IoT verticals. The goal is to ensure a smooth experience from prototyping on evaluation and starter kits to production-grade SOMs, reducing development costs and time. The past decade saw huge growth in the demand for fully configurable adaptive computing devices, integrating the traditional hardware programmability and flexibility of an FPGA with the software programmability of embedded processors. Xilinx addresses this market need with the Zynq UltraScale MPSoC family of products widely adopted across various industry verticals, including the industrial, vision, and healthcare markets. Now, Xilinx and Canonical are working together to enable Ubuntu on select Xilinx Zynq UltraScale MPSoC-based platforms to bring the reliable and proven Ubuntu OS experience.

Silicon Valley adaptive computing bellwether Xilinx announced its entrance into the growing system-on-module (SOM) market today, with a portfolio of palm-sized compute modules for embedded applications that accelerate AI, machine learning and vision at the edge. Xilinx Kria will eventually expand into a family of single board computers based on reconfigurable FPGA (Field Programmable Gate Array) technology, coupled to Arm core CPU engines and a full software stack with an app store, the first of which is specifically is targeted at AI machine vision and inference applications. The Xilinx Kria K26 SOM employs the company's UltraScale multi-processor system on a chip (MPSoC) architecture, which sports a quad-core Arm Cortex A53 CPU, along with over 250 thousand logic cells and an H.264/265 video compression / decompression engine (CODEC). This may sound like alphabet soup as I spit out acronyms, however, the underlying solution is a compelling offering for developers and engineers looking to give new intelligent systems, in industries like security, smart cities, retail analytics, autonomous machines and robotics, the ability to see, infer information and adapt to their deployments in the field. Also on board the Xilinx Kria K26 SOM is 4GB of DDR4 memory and 245 general purpose IO, along with the ability to support 15 cameras, up to 40 Gbps of combined Ethernet throughput, and four USB 2/3 compatible ports.

Xilinx has introduced its Kria programmable chips and boards for holding AI applications at the edge of the network. This should come in handy for visual applications like smarter cameras. San Jose, California-based Xilinx, which is in the process of being acquired by Advanced Micro Devices (AMD) for $35 billion, has a group of products dubbed the Kria portfolio of adaptive system-on-module offerings for AI at the edge. These are production-ready small form factor embedded boards that enable rapid deployment in edge-based applications. Coupled with a complete software stack and prebuilt, production-grade accelerated applications, Kria adaptive modules are a new method of bringing adaptive computing to AI and software developers.

Xilinx has just launched the first edge model of the flexible Versal ACAP (Adaptive Compute Acceleration Platform) family, the third Versal to be announced in addition to the AI, Prime, and Premium models. Versal launched some three years ago and combines flexible reconfigurable logic with hardcoded engines and Arm CPU core. In theory, ACAP's should be higher performance, more flexible, consume less power, and offer greater ease of programmability for developers than traditional FPGAs. To wit, Xilinx claims the AI Edge can be configured all the way up to 228 TOPS in 8-bit integer performance at 75 watts. The Versal ACAP is a big deal for Xilinx, and will be for AMD as well. The edge AI market is set to explode, with Gartner projecting some $50B in chipset revenue in 2025.

Vision is one of the hottest area for AI development because vision can or will be used for a wide variety of consumer and industrial applications. Everything from security systems and retail monitoring solutions to manufacturing quality control and autonomous machines require vision AI. Xilinx has been developing chips and tools for AI development leveraging the company's expertise in programmable/adaptable platforms. Now, Xilinx is introducing the Kria System-on-Module (SoM) just for vision AI applications. A module or SoM is a predesigned system or sub-system with the required chips already mounted on a printed circuit board (PCB) that connect to other system components or interfaces.