CADFEM India’s Post

🚀 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁! 🚀 🤝 We at Flexcompute are thrilled to have collaborated with NVIDIA to push the boundaries of scientific computing! Together, we have explored the incredible potential of 𝗚𝗣𝗨-𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗽𝗵𝗼𝘁𝗼𝗻𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, leveraging the latest hardware advancements to solve Maxwell’s equations at unprecedented speed and scale. 🔬 Our collaboration showcases how NVIDIA's cutting-edge GPUs are powering AI and revolutionizing how we approach complex physical simulations. The possibilities are endless, from reducing simulation times by orders of magnitude to enabling the design and optimization of next-generation photonic devices! 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 𝗦𝗽𝗲𝗲𝗱: simulations that once took hours can now be completed in minutes 𝗦𝗰𝗮𝗹𝗲: we can simulate larger and more complex devices, accelerating innovation in photonics 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: advanced simulations allow for more precise designs, pushing the limits of what’s possible See the publication here: https://lnkd.in/gNmyawbh 💡 This collaboration is just the beginning. As we continue to explore and develop these technologies, we are excited about the future of scientific computing and the breakthroughs that lie ahead. Thanks to the amazing teams at Flexcompute and NVIDIA for making this possible. Here’s to driving innovation forward! #GPUComputing #Photonics #ScientificComputing #Innovation #Flexcompute #NVIDIA

TSMC collaborates with Ansys and Microsoft to accelerate photonic simulations, enhancing the #development of advanced optical technologies. This partnership aims to streamline design processes and improve efficiency in photonic applications, setting the stage for #innovative breakthroughs in the semiconductor industry. #Photonics #SemiconductorInnovation #electronicsnews #technologynews

🌐Enabling 6G Technologies 🌐 CADFEM (UK-IE) invite you to join Ansys for this insightful webinar showcasing the latest advancements in RF channel modeling, powered by Ansys Perceive EM on NVIDIA Omniverse GPUs. Discover how we're pushing the boundaries of 6G innovation! 🗓️ 26th June ⏰ 4pm BST Register now and join us in exploring the future of wireless technology ➡ https://lnkd.in/eV_tjYfW The webinar will cover: 🌟 Challenges in the design and implementation of 6G networks 🌟Advanced antenna simulation techniques for 5G/6G arrays 🌟Simulating a physics-based model of the RF channel 🌟Introduction to the NVIDIA Omniverse as a platform for 6G digital twin simulation with Ansys Perceive EM - Perceive EM high-fidelity results (powered by evolution of HFSS SBR+) - Perceive EM’s unmatched simulation speed on GPUs - Perceive EM’s usage in extraction of AI/ML synthetic data-on-demand - Perceive EM’s ability in modeling highly detailed environments Don't miss out on this opportunity to stay ahead in the 6G race! #Ansys #CADFEM #6G #RFModeling #WirelessTech #Innovation #TechWebinar #DigitalTwin #NvidiaOmniverse 

At Quantum Science, we were delighted to see presentations on Pb-free quantum dot image sensor technology from Sony Semiconductor Solutions Corporation, IMEC, and AMS-Osram at the 70th Annual IEEE International Electron Devices Meeting held in San Francisco (41 | ODI | Advanced Image Sensors - IEEE IEDM 2024) on Wednesday 11 December. Quantum Science is proud to stand shoulder to shoulder as a leader in this field having demonstrated industry leading Pb-free quantum dot photodiode device performance with a SWIR peak wavelength in the critical region of 1360–1400nm. These device results are produced using a lead-free ink system that is directly deposited onto substrates in a single thick film without the need for additional ligand exchange processes. As described in our recent blog, advancing across the three critical technology areas of Pb-free QD synthesis, QD ink formulation, and Pb-free device stack design has resulted in 1,400 SWIR peak EQE at -1V of 16% and a dark current <10µA/cm2 at the operating voltage: https://lnkd.in/dkvSxicT We are excited to see this technology advance further to commercial products in the consumer and machine vision imaging markets! Read the full story: https://lnkd.in/ea5tY3xS #IEDM2024 #SonySemiconductorSolutions #IMEC #TESLA #Google #Amazon #Meta #Microsoft #Apple #Nvidia #AMSOsram #SWIR #QD #AIImaging #ConsumerTech #Automotive #AR #VR #ComputerVision

Hearing from both CEOs, Anirudh Devgan and Jensen Huang, talking about GPU accelerated computing on CFD and its applications in Reality DC Digital Twin simulations at last month's CadenceLIVE event was a very rewarding experience for me personally. This is because our R&D teams are right in the center of all the actions. Not only our NVIDIA GPU-equipped Millennium supercomputer accelerates such simulations, but also NVDIA uses our Reality DC Digital Twin to help model its latest AI supercomputer and has since facilitated the use of this software within the NVIDIA Omniverse environment. The software uses physics-based simulation, powered by CFD, to model complex thermals and cooling. A few days ago I also read a very interesting blog published by NVIDIA's Dion Harris, in which he writes, "With Blackwell GPUs, these simulations are projected to run up to 30x faster than with CPUs, offering accelerated timelines and higher energy efficiency"! Yes, 30X!! This blog is available on nvidia.com at: https://lnkd.in/dff2vBWR. Enjoy reading it 😀

🎉 Introducing #Advantech latest MXM GPU powered by #NVIDIA Ada Lovelace architecture! 🚀 Get ready for general AI computing power that is twice as fast as the previous generation! Plus, the fourth-gen Tensor cores also double the performance of AI inference.💡 These compact and durable cards have a lifespan of 5+ years and are compatible with both fan and fanless system. Perfect for smart manufacturing, smart healthcare, and smart cities applications! 🌟 👉 See product details: https://bit.ly/3Z7pcJy Advantech Europe, NVIDIA #MXM #GPU #AdaLovelace #AI

AI at the Embedded World: A glimpse into the Future? 🚀 This week I had the chance to join the embedded world Exhibition&Conference. Among other interesting insights I gained, it has once again proven that AI is the ultimate hype topic - also in the realm of Edge! NVIDIA stood out particularly with its Jetson Orin GPUs, which were utilized by many hardware manufacturers. Hailo also showcased a strong presence with their Edge AI processors and accelerators, which we already have in use with our Edge solutions here at Welotec. But also the major CPU manufacturers AMD and Intel Corporation had a significant focus on AI at the Edge. It's interesting that the use of AI (or rather the use of dedicated GPUs for AI applications at the Edge) is currently primarily found in video processing. However, the knowledge of how to effectively utilize AI is often lacking – both on the customer side and among the hardware manufacturers. Expectations on real life implications often remain vague. Here, the automotive sector seems to be a step ahead of other industries, such as machinery. To really use AI productively, a clear strategy and focus on specific use cases are essential. For instance, partnerships between hardware and software providers can be an important step. Otherwise, based on what I've heard, it often remains just a buzzword. What are your thoughts on the subject? What experiences have you had with AI at the Edge? Share your insights! And a special invitation to all software providers and system integrators in the Edge AI space - if you are still looking for a strong partner, feel free to reach out 🤖 #ai #embeddedworld #technology #innovation #productmanagement #edgecomputing

🎉 Introducing #Advantech latest MXM GPU powered by #NVIDIA Ada Lovelace architecture! 🚀 Get ready for general AI computing power that is twice as fast as the previous generation! Plus, the fourth-gen Tensor cores also double the performance of AI inference.💡 These compact and durable cards have a lifespan of 5+ years and are compatible with both fan and fanless system. Perfect for smart manufacturing, smart healthcare, and smart cities applications! 🌟 👉 See product details: https://bit.ly/3Z7pcJy Advantech Europe, NVIDIA #MXM #GPU #AdaLovelace #AI

Abaco Systems is thrilled to announce the launch of the SBC3901, a cutting-edge 3U VPX single-board computer designed to revolutionize autonomous and embedded edge computing. Powered by the NVIDIA® Jetson AGX Orin™, the SBC3901 delivers unmatched AI and ML performance with its 12-core ARM Cortex®-A78 CPU and NVIDIA Ampere architecture GPU featuring 2048 CUDA® cores and 64 Tensor Cores, achieving up to 248 TOPS of AI performance. Key Features: 🔹 High-Performance AI Computing 🔹 Rugged Design for Extreme Conditions 🔹 High Bandwidth Data Planes (100GbE, 25GbE, 10GbE) 🔹 Advanced I/O and Storage Options 🔹 Enhanced AI Processing with Deep Learning Accelerators Designed to meet the toughest demands in defense, aerospace, and industrial applications, the SBC3901 is your solution for real-time GPU processing, deep learning, and AI inferencing. Learn more about the SBC3901 at the link below!! https://lnkd.in/ezZaBVED #AI #ML #EdgeComputing #Innovation #TechNews #EmbeddedSystems #Defense #Aerospace #IndustrialTech

AI Vision for Everybody? Sony Semiconductor Solutions and Raspberry Pi have teamed up to launch the new Raspberry Pi AI Camera, bringing AI-powered vision capabilities to the edge - accessible to developers, engineers, and enthusiasts alike. This AI camera is built for simplicity and affordability, making it easier to develop cutting-edge AI solutions using visual data, all without the need for expensive hardware like GPUs or accelerators. The familiar Raspberry Pi platform, coupled with Sony’s IMX500 intelligent vision sensor. Ready to dive into AI vision? Here are the key specifications of the Raspberry Pi AI Camera: Sensor: Sony IMX500 intelligent vision sensor, 12.3 MP, with a neural network accelerator Resolutions: 4,056(H) x 3,040(V) at 10 fps / 2,028(H) x 1,520(V) at 40 fps Unit cell size: 1.55 µm x 1.55 µm 76-degree field of view, adjustable focus Neural network management via integrated RP2040 Compatible with all Raspberry Pi models using standard camera connector Pre-loaded with MobileNetSSD model Full integration with libcamera #MachineVision #EdgeAI #RaspberryPi