Synopsys Users Group (SNUG)’s Post

The automotive ecosystem is undergoing a transformation toward software-defined vehicles, spurring new architectures with more software. Semiconductor Engineering spoke with a panel of experts to discuss this technological evolution. #Automotive #Technology https://lnkd.in/d-5x2wT7. As this technology gains more and more momentum, it will require a tremendous amount of security to the edge and the cloud!

🚗💡 Revolutionize Your Automotive Development with Synopsys and AWS! As vehicles increasingly rely on software and advanced semiconductor technology, the potential for failures also grows. The powerful collaboration between Synopsys Inc and Amazon Web Services (AWS) addresses these challenges, providing innovative solutions to enhance the development of software-defined vehicles (SDVs). 🔍 Silicon Lifecycle Management (SLM): By leveraging embedded monitors in silicon, automakers can observe, analyze, and act on data throughout the lifecycle of their chips. This continuous analysis helps optimize manufacturing yields, improve silicon performance, and predict maintenance needs. 🔧 Virtual Prototyping: Accelerate your SDV development with software-in-the-loop (SiL) and virtual hardware-in-the-loop (vHiL) simulations. These simulations allow for early validation of complex systems, reducing the need for extensive physical testing and speeding up the time-to-market. 🌐 Cloud Power: Running these solutions on AWS ensures scalability, security, and elasticity. From storing massive volumes of data to running thousands of tests in parallel, AWS provides the ideal environment for developing and validating SDVs. 🔗 By integrating these technologies, Synopsys and AWS are helping automotive OEMs, Tier 1 suppliers, and semiconductor manufacturers create smarter, safer, and more reliable vehicles. 🚀 👉 Ready to revolutionize your automotive development process? Reach out to us using our contact form on our website or contact Rico Nuguid directly. #DEMICON #AutomotiveInnovation #SoftwareDefinedVehicles #SLM #VirtualPrototyping #AWS #Synopsys #DigitalTransformation #AutomotiveTechnology #Demicon #FutureOfMobility #CloudComputing #SemiconductorTech #VehicleDevelopment #SmartVehicles

Attention all Logistics practitioners in my network! NVIDIA's cuOpt is now generally available! cuOpt has broken 23 world records set in the past three years on the largest routing benchmarks, as verified by SINTEF. Continuously tested against the best-known solutions on the most studied benchmarks for route optimization, cuOpt has demonstrated the world's best accuracy with the fastest times, up to 100x faster than CPU-based implementations. cuOpt provides a solution to multiple variants of two key logistics problems: the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) and the Pickup and Delivery Problem with Time Windows (PDPTW). cuOpt aims to serve customer requests while minimizing the number of vehicles and total distance traveled in the respective order. According to Jensen Huang, "With cuOpt, NVIDIA is reinventing logistics management and operations research. It is NVIDIA's pre-quantum computer, driving transformational operational efficiencies for deliveries, service calls, warehouses and factories, and supply chains." As someone who has spent many years in the logistics space, I am thrilled about this development. I can't wait to see how it will improve middle-mile planning, last-mile routing, scheduled-delivery optimization, and other supply chain and logistics' sub-problems, ultimately enhancing the click-to-deliver customer experience and company bottom lines. Check out the links below for more information: https://lnkd.in/ghpkjzGS https://lnkd.in/grHWVWE6

Our drive towards electrification!

📣 Arm AE (Automotive Enhanced) announcement will bring huge acceleration for automotive industry ecosystem through: 1️⃣ Next-generation AE processors bring Armv9 and server-class performance to automotive for the first time. 2️⃣ Arm Compute Subsystems (CSS) for Automotive 3️⃣ Virtual prototypes will enable ecosystem to leverage Arm AE IP for software development ahead of silicon This for sure will not only reduce time to market, but also bring such a virtual ecosystem to boost innovation by the developers and leveraging the software defined vehicle architecture plus its hardware platforms. Key takeaways here are performance, enablement and market demand adoption! #arm #automotiveindustry #ai #sdv #electrification #automotiveinnovation #virtualenvironment

An ADAS (Advanced Driver Assistance System) SoC (System on a Chip) is a specialized integrated circuit designed to handle the complex processing requirements of advanced driver assistance systems in vehicles. These systems include features like automatic emergency braking, lane departure warning, traffic sign recognition, and more. An ADAS SoC typically integrates multiple types of processors, such as CPUs, GPUs, and AI accelerators, to process data from various sensors like cameras, radar, and LiDAR. This allows the vehicle to make real-time decisions to enhance safety and driving convenience. The shift towards centralized ADAS architectures, where multiple ADAS functions are managed by a single, high-performance SoC, is becoming more common in modern EV's including in Tesla, Rivian and Lucid that are going to come up with advanced autonomous driver assistance system. This approach reduces system complexity and cost while improving performance and reliability Read more on how PAV360 software adopted by SiliconAuto TW would accelerate the ADAS SoC development from the following link....

Uncover the crucial cost drivers and industry trends shaping the semiconductor market. Explore this insightful article on semiconductor pricing dynamics by Kaizoft! #Semiconductor #PricingStrategy #ChipCost https://lnkd.in/gERg4if4

We're excited to announce that SiliconAuto TW has adopted PAVE360 software to accelerate pre-silicon ADAS SoC development. The software will help reduce development time for its range of state-of-the-art semiconductors for the automotive industry and offer a software development environment prior to silicon hardware availability, accelerating its silicon development and enabling potential customers to shift left development processes. SiliconAuto is dedicated to designing and selling a range of state-of-the-art semiconductors to supply the automotive industry. Their challenge is the need to provide a virtual reference development environment for its forthcoming Advanced Driver-Assistance Systems (ADAS) System on a Chip (SoC) - prior to silicon hardware availability. The adoption of Siemens' PAVE360 enables the company to build an automotive standards-based multi-client, multi-fidelity, virtual development environment that mixes existing tooling and models with new virtual SoCs and real-world inputs to gain early insight, enable early software development and provide key metrics for decision criteria. “SiliconAuto’s commitment to driving innovation in the automotive industry is exemplified by our collaboration with Siemens. By leveraging PAVE360, we are not just accelerating development but also paving the way for future-ready vehicles that meets the highest standards of safety and performance,” said Shawn Tien, vice president of sales and marketing, SiliconAuto. “The pace of development for the advanced technologies required for next generation electric vehicles is accelerating - OEMs and suppliers need to be able to prove out, simulate and iterate software capabilities long before hardware becomes available,” said David Fritz, our vice president, Hybrid and Virtual Systems. “SiliconAuto’s selection of PAVE360 for its environment of choice for pre-silicon software development shows that our standards-based approach is enabling leaders in the automotive industries to accelerate their development processes and deliver the functionality that the next generation of vehicles are demanding.” https://sie.ag/68THjM #Automotive #semiconductors #news

Tesla is expanding its Giga Texas facility with a new data center boasting over 500MW capacity to support AI hardware. - 🚀 New data center to have over 500MW capacity within 18 months - 🖥️ Supports Tesla's AI hardware and Nvidia AI hardware - 🔋 Initial 130MW capacity added this year, aiming for 500MW - 💰 Investment includes $3-4 billion in Nvidia hardware #Tesla #AI #Innovation - 🌡️ Significant power and cooling infrastructure for GPUs and AI computers - 🏗️ Reflects Tesla's commitment to cutting-edge AI development - 🌍 Positioned as a leader in sustainable and advanced tech solutions Elon Musk Outlines Tesla Giga Texas Expansion Plans: New Data Center To Have Over 500MW Capacity In Next 18 Months To Power Own And Nvidia AI Hardware https://lnkd.in/gBahHFMA

The automotive sector is set to become NVIDIA's largest enterprise vertical this year, driven by Tesla's deployment of 35,000 H100 #GPUs. The continued investment from Tesla, with its goal of full self-driving technology, in its #datacenter infrastructure further underscores the role #liquidcooling will play managing increased heat from high-performance #AI systems, ensuring energy efficiency and operational stability. https://lnkd.in/gdYWNFqk