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A chance to win an NVIDIA RTX 4090 GPU, a GTC conference pass, and more! You can win these by building your next-gen generative AI project using NVIDIA TensorRT or TensorRT-LLM on Windows PC with NVIDIA RTX systems! Be part of the NVIDIA developer community by showing what you can develop on RTX. The contest will run until February 23. More info here: https://lnkd.in/dTn9bS-X Did you get a chance to read about NVIDIA's CES 2024 announcement? 🔹 They have introduced developer tools for LLM inference on RTX Systems, streamlining LLM app creation and deployment on AI-ready PCs. 🔹 The open-source collaboration integrates TensorRT-LLM with frameworks like LlamaIndex, offering a straightforward OpenAI Chat API wrapper for easy cloud-to-local PC deployment. Also, I am so excited to share that I am building a workstation with an NVIDIA RTX 6000 Ada Generation! More updates on it soon! #artificialintelligence #machinelearning #robotics #ces2024 #nvidia

This is a special moment for me! We made another Ultralytics live session and reunion with Lakshantha Dissanayake together with #YOLOv8🚀! https://lnkd.in/dgCcstXD Happy to see Ultralytics team's great work on enabling computer vision across all embedded hardware: from ultra-low power microcontrollers to Linux SBCs, and NVIDIA Jetson built with GPUs. These application cross many scenarios and are very easy to start with. Computer Vision Made Easy! Together we deep-dived into how Ultralytics YOLOv8 and the NVIDIA Jetson Orin embedded device can help the retail industry with smart queue management, to improve customer experience. And youjiang yu presented a live code demo of building queue management using Ultralytics' new #solution feature. Not only retail, but you can also move to many other applications across machine vision, robotics, and video analytics. #computervision #ultralyticslivesession #edgeai #jetsonorin

Nvidia finally brings its RTX technology to entry-level desktop workstation GPUs with launch of low-profile Nvidia RTX A400 and A1000. Will give architects and product designers and entry-point to visualisation, plus AI on the desktop. https://lnkd.in/eekSw_ru #Nvidia #RTX #BIM #raytracing #AI

Neousys Nuvo-10208GC: Supercharge Edge AI with Dual NVIDIA RTX GPUs Welcome to the cutting-edge Neousys Nuvo-10208GC, a truly exceptional rugged edge AI industrial PC platform designed to support dual RTX 40 series/RTX A6000/A4500 GPUs. With its unparalleled GPU performance of up to 97 TFLOPS in FP32, this platform sets new standards for AI aided applications such as autonomous driving, vision inspection and surveillance. Combining the robustness of a rugged design and the advanced computing capabilities of Intel’s 13th/12th-Gen CPU, the Nuvo-10208GC delivers unrivalled performance in the harshest environments. Keep Reading - https://buff.ly/3XCM0yA #embeddedpc #embeddedsystems #embeddedtechnology #embeddedcomputing #iotdevices #ruggedcomputing #smallformfactor #embeddedsolutions #iotapplications #edgeintelligence

The Neousys Nuvo-9160GC is a rugged, wide-temperature, Edge AI Inference Computer that delivers excellent CPU and GPU performance by leveraging Intel’s 12th/13th-Gen platform and NVIDIA GPUs – including the L4 and RTX A2000. Thanks to its high-performance and flexible camera expansion, the Nuvo-9160GC series is ideal for multi-camera applications requiring real time responses such as AI inspection, robotic guidance, and autonomous machines. The platform provides six ethernet ports and six USB3 ports, and can be expanded with MezIO and an additional PCIe slot to support up to fourteen industrial GigE cameras or eighteen industrial USB3 cameras. Learn more about the Nuvo-9160GC and get a quote here: https://lnkd.in/eGR6NNBZ #industrialpc #neousys #nuvo-9160gc #EdgeComputing #edgeAI #Embedded_Systems

NVIDIA Tegra 3 Processor to Power Audi's Next-Gen Infotainment and Digital Instrument Clusters

NVIDIA Tegra 3 Processor to Power Audi's Next-Gen Infotainment and Digital Instrument Clusters

"With 72 Tensor cores, the Nvidia RTX A1000 is said to deliver over 3x faster generative AI processing for tools like Stable Diffusion, compared to the previous generation Nvidia T1000, which only had CUDA cores." Greg's coverage goes into greater detail regarding the new cards, their specifications, and target segments. #nvidia #rtx #ai

DSBOARD-ORNXS Getting Started Discover how to get started with DSBOARD-ORNXS, the latest in embedded systems development using NVIDIA Jetson Orin NX & Orin Nano SoM. Our comprehensive guide covers how to get started with DSBOARD-ORNXS on this blog post. 🌟 WHAT YOU WILL LEARN? 1- Overview of DSBOARD-ORNXS 2- Power Socket & Polarization 3- Jetpack Installation and Interface Guide Read the full blog here: https://lnkd.in/dSuMcd37 📝 Remember our DSBOARD-ORNXS product: It is a game-changing innovation that redefines the concept of productivity and connectivity. Powered by the NVIDIA Jetson Orin Nano and Orin NX, this compact and versatile device brings unmatched processing power. With its seamless WiFi and Bluetooth connectivity, you can effortlessly collaborate and communicate with your team, breaking down barriers and unlocking new levels of efficiency. Equipped with impressive memory options ranging from 4 GB to 16 GB of lightning-fast LPDDR5, the DSBOARD-ORNXS ensures smooth multitasking and effortless data handling. Its graphics interfaces, including a Mini DisplayPort with a maximum resolution of 3840x2160, deliver stunning visuals that elevate your work to a whole new level. Plus, with multiple extension sockets, including M.2 Key-E and 5V FAN, you have the flexibility to customize and expand your device to suit your specific needs. #TechInnovation #EmbeddedSystems #JetsonOrinNX #JetsonOrinNano #IndustrialComputing #HardwareDevelopment #TechTutorial #NVIDIA #EdgeComputing

GaLore is a new Memory Efficient Fine-tuning Technique, for “full-tuning” billion-parameter models, like Llama 2 7B on consumer-size GPUs. In contrast to LoRA, GaLore reduces the memory by projecting the optimizer states and gradients into a lower-dimensional. 🤯 TL;DR 📝 🚀 Trains models up to 7 billion parameters on consumer GPUs like NVIDIA RTX 4090 💾 Up to 82.5% reduction in memory for storing optimizer states 🔺 Can be combined with 8-bit optimizers for maximized memory efficiency 🥇 Outperforms LoRA on GLUE and Pretraining of Llama on C4 🤗 Integrated into Hugging Face Transformers, with galore_adamw or galore_adamw_8bit 📐 Layer-wise updates further reduce memory footprint ❌ Only supports DP, not MP with FSDP or Deepspeed at the moment Paper: https://lnkd.in/eS6GF-gr Blog with Example: https://lnkd.in/edCVQxES GaLore seems to be a very interesting alternative to (Q)-LoRA if we can find a way to make it scale to multi-GPUs with FSDP and Deepspeed.