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New Embedded Vision Summit Presentation from BDTI: “Silicon Slip-Ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!)”

Join Keith Menezes on March 22nd at 3PM EST where he will be speaking on a panel discussion "Faster, Lighter, Smaller: Moving Embedded Tech Ahead [S51759]" with NVIDIA, Curtiss-Wright Defense Solutions, and Raytheon Technologies.   The focus of the session is the forth-coming trends and continual challenges the #defenseindustry faces today, such as the increasing complexity of the #tactical #edgeai systems. Topic's being discussed include how utilizing #VITAstandards and the Sensor Open Systems Architecture tackle some of the SWaP-C constraints, and how the flexibility of NVIDIA devices solve the need for #embeddedcompute and #zerotrust. Register today: https://lnkd.in/gS88xuZQ

Discover how NVIDIA H100 enhances Llama 2 70B performance in our latest blog. Learn more about how we optimize AI inference latency and throughput here: https://pplx.ai/sJdwcuK

Benefits of TensorRT Export using Ultralytics YOLOv8 😍 😍 😍 🔥 I dedicated time to exploring deepstream usage last year, and I found it particularly intriguing in the context of YOLOv5. This year, I plan to experiment with YOLOv8, and I will continue to share the outcomes with the community :) What's Included 😍 ✅ Key Features of TensorRT Models ✅ Deployment Options in TensorRT ✅ Exporting YOLOv8 Models to TensorRT ✅ Deploying Exported YOLOv8 TensorRT Models Learn More ➡ https://lnkd.in/d-cq9RSE Kudos to Abirami Vina for crafting this content in such a straightforward manner :) #computervision #objectdetection #nvidia #nvidiajetson #yolov8

NVIDIA has just released the #Nemotron 340B, a cutting-edge open LLM suite rivaling GPT-4. Discover its advanced data generation, seamless integration, and powerful customisation features. #GenAI #FoundationalModels #OpenSource #LLM 📖 Read more in my latest blog post

"The “#transformer engine” is being upgraded at the core of the Blackwell #GPU. Introduced as its Hopper GPU, 𝐭𝐡𝐢𝐬 𝐞𝐧𝐠𝐢𝐧𝐞 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐞𝐬 𝐞𝐯𝐞𝐫𝐲 𝐥𝐚𝐲𝐞𝐫 𝐢𝐧 𝐭𝐡𝐞 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐭𝐞𝐧𝐬𝐨𝐫𝐬 𝐮𝐬𝐞𝐝 𝐭𝐨 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭 𝐭𝐡𝐞𝐦. As the GPU trains or runs the #ML #model over time, it decides whether it makes sense to carry out AI computations using smaller numbers with less precision." https://lnkd.in/ddaWQx3j

Semis success = Scale + Incumbency, thanks to Joe Kernen and Kelly Evans on CNBC for an interesting discussion on the evolving AI landscape.

Discover how AMD is helping accelerate AI in this short video!

Discover how AMD is helping accelerate AI in this short video!