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Watch the highlight video of the Fireside chat discussion with Carl Pei, the CEO of Nothing, as he explores the topic of 'The Future of Personal Computing in the Age of AI', sharing his perspective, history, and progress of personal computing. Register now at kl20.gov.my to watch the full video. #KL20Summit #ItStartsHere

Check out some of the conversation in chips, software and data surrounding the mass uptake of accelerated computing and generative AI.

In Introduction to On-Device AI, taught by Qualcomm's Senior Director of Engineering Krishna Sridhar, you’ll deploy a real-time image segmentation model on-device and learn key steps for on-device deployment: neural network graph capture, on-device compilation, hardware acceleration, and validating on-device numerical correctness. Enroll for free: https://hubs.la/Q02zxpyj0

Exciting news in the world of #HPC! Introducing the cutting-edge 32-GPU single-node #supercomputer for #GenerativeAI and accelerated computing from #GigIO. Embrace the future of advanced simulations and AI research. Learn more here: https://bit.ly/44GDxNN. #GigaIO32GPU

Feeling great after finishing two talks in #Hotchips 2023 at Stanford about sparse AI accelerator design in the last three days. Thanks for the hardwork of hotchips committee and my two great hosts in ML inference Tom St. John and Grant Ayers. In this year’s hotchips, Jeff Dean and Bill Dally have given two great keynotes about the trends of AI models and hardware. The muti-modality and sparsity will be the near future direction for AI models. Quantization and sparsity will be two main techniques for efficient ML inference.

IBM Storage Expert Forum - day 3 3 days of massive technological & scientific knowledge transfer. This morning Dr. Basil Moshous is telling us a little something about IBMs AI #watsonx from an IBM research perspective. We just might expand a little on that and educate you partners out there on IBM AI and #IBMPower10 based on our experiences in our Munich Power Lab. How about it, Sejid Canoski , Peter Kindiger , Nick Notter and Thomas Mc Daniel ? Should we really share this ‘well kept secret’ of running massive LLMs fast without a GPU? #ibmchampion #watsonx #tdsynnex.

ICYMI: Trillion-Dollar Opportunities with Decentralized Spatial Computing and AI, with Auki Lab In this episode, Jamie Burke (Outlier Ventures) and Nils Pihl discuss the groundbreaking developments in spatial computing and decentralized machine perception networks. 🎧 Listen to the full conversation here: https://lnkd.in/eddg6RSU

Learn how edge computing will evolve with the new demands of generative AI and bandwidth explosion.