Robots around the world are about to get a lot smarter as physical AI developers plug in NVIDIA Jetson Thor modules — new robotics computers that can serve as the brains for robotic systems across research and industry. Robots demand rich sensor data and low-latency AI processing. Running real-time robotic applications requires significant AI compute and memory to handle concurrent data streams from multiple sensors. Jetson Thor, now in general availability, delivers 7.5x more AI compute, 3.1x more CPU performance and 2x more memory than its predecessor, the NVIDIA Jetson Orin, to make this possible on device. This performance leap will enable roboticists to process high-speed sensor data and perform visual reasoning at the edge — workflows that were previously too slow to run in dynamic real-world environments. This opens new possibilities for multimodal AI applications such as humanoid robotics. Agility Robotics, a leader in humanoid robotics, has integrated NVIDIA Jetson into the fifth generation of its robot, Digit — and plans to adopt Jetson Thor as the onboard compute platform for the sixth generation of Digit. This transition will enhance Digit’s real-time perception and decision-making capabilities, supporting increasingly complex AI skills and behaviors. Digit is commercially deployed and performs logistics tasks such as stacking, loading and palletizing in warehouse and manufacturing environments. “The powerful edge processing offered by Jetson Thor will take Digit to the next level — enhancing its real-time responsiveness and expanding its abilities to a broader, more complex set of skills,” said Peggy Johnson, CEO of Agility Robotics. “With Jetson Thor, we can deliver the latest physical AI advancements to optimize operations across our customers’ warehouses and factories.” Boston Dynamics — which has been building some of the industry’s most advanced robots for over 30 years — is integrating Jetson Thor into its humanoid robot Atlas, enabling Atlas to harness formerly server-level compute, AI workload acceleration, high-bandwidth data processing and significant memory on device. Beyond humanoids, Jetson Thor will accelerate various robotic applications — such as surgical assistants, smart tractors, delivery robots, industrial manipulators and visual AI agents — with real-time inference on device for larger, more complex AI models. A Giant Leap for Real-Time Robot Reasoning Jetson Thor is built for generative reasoning models. It enables the next generation of physical AI agents — powered by large transformer models, vision language models and vision language action models — to run in real time at the edge while minimizing cloud dependency. Optimized with the Jetson software stack to enable the low latency and high performance required in real-world applications, Jetson Thor supports all popular generative AI frameworks and AI reasoning models with unmatched real-time performance. These include Cosmos Reason, DeepSeek, Llama, Gemini and Qwen models, as well as domain-specific models for robotics like Isaac GR00T N1.5, enabling any developer to easily experiment and run inference locally. NVIDIA Jetson Thor opens new capabilities for real-time reasoning with multi-sensor input. Further performance improvement is expected with FP4 and speculative decoding optimization. With NVIDIA CUDA ecosystem support through its lifecycle, Jetson Thor is expected to deliver even better throughput and faster responses with future software releases. Jetson Thor modules also run the full NVIDIA AI software stack to accelerate virtually every physical AI workflow with platforms including NVIDIA Isaac for robotics, NVIDIA Metropolis for video analytics AI agents and NVIDIA Holoscan for sensor processing. With these software tools, developers can easily build and deploy applications, such as visual AI agents that can analyze live camera streams to monitor worker safety, humanoid robots capable of manipulation tasks in unstructured environments and smart operating rooms that guide surgeons based on data from multi-camera streams. Jetson Thor Set to Advance Research Innovation  Research labs at Stanford University, Carnegie Mellon University and the University of Zurich are tapping Jetson Thor to push the boundaries of perception, planning and navigation models for a host of potential applications. At Carnegie Mellon’s Robotics Institute, a research team uses NVIDIA Jetson to power autonomous robots that can navigate complex, unstructured environments to conduct medical triage as well as search and rescue. “We can only do as much as the compute available allows,” said Sebastian Scherer, an associate research professor at the university and head of the AirLab. “Years ago, there was a big disconnect between computer vision and robotics because computer vision workloads were too slow for real-time decision-making — but now, models and computing have gotten fast enough so robots can handle much more nuanced tasks.” Scherer anticipates that by upgrading from his team’s existing NVIDIA Jetson AGX Orin systems to Jetson AGX Thor developer kit, they’ll improve the performance of AI models including their award-winning MAC-VO model for robot perception at the edge, boost their sensor-fusion capabilities and be able to experiment with robot fleets. Wield the Strength of Jetson Thor The Jetson Thor family includes a developer kit and production modules. The developer kit includes a Jetson T5000 module, a reference carrier board with abundant connectivity, an active heatsink with a fan and a power supply. NVIDIA Jetson AGX Thor Developer Kit The Jetson ecosystem supports a variety of application requirements, high-speed industrial automation protocols and sensor interfaces, accelerating time to market for enterprise developers. Hardware partners including Advantech, Aetina, ConnectTech, MiiVii and TZTEK are building production-ready Jetson Thor systems with flexible I/O and custom configurations in various form factors. Sensor and Actuator companies including Analog Devices, Inc., e-con Systems,  Infineon, Leopard Imaging, RealSense and Sensing are using NVIDIA Holoscan Sensor Bridge — a platform that simplifies sensor fusion and data streaming — to connect sensor data from cameras, radar, lidar and more directly to GPU memory on Jetson Thor with ultralow latency. Thousands of software companies can now elevate their traditional vision AI and robotics applications with multi-AI agent workflows running on Jetson Thor. Leading adopters include Openzeka, Rebotnix, Solomon and Vaidio. More than 2 million developers use NVIDIA technologies to accelerate robotics workflows. Get started with Jetson Thor by reading the NVIDIA Technical Blog and watching the developer kit walkthrough. To get hands-on experience with Jetson Thor, sign up to participate in upcoming hackathons with Seeed Studio and LeRobot by Hugging Face. The NVIDIA Jetson AGX Thor developer kit is available now starting at NVIDIA Jetson T5000 modules are available starting at for 1,000 units. Buy now from authorized NVIDIA partners. NVIDIA today also announced that the NVIDIA DRIVE AGX Thor developer kit, which provides a platform for developing autonomous vehicles and mobility solutions, is available for preorder. Deliveries are slated to start in September. #nvidia #jetson #thor #unlocks #realtime

Japan is once again building a landmark high-performance computing system — not simply by chasing speed, but by rethinking how technology can best serve the nation’s most urgent scientific needs. At the FugakuNEXT International Initiative Launch Ceremony held in Tokyo on Aug. 22, leaders from RIKEN, Japan’s top research institute, announced the start of an international collaboration with Fujitsu and NVIDIA to co-design FugakuNEXT, the successor to the world-renowned supercomputer, Fugaku. Awarded early in the process, the contract enables the partners to work side by side in shaping the system’s architecture to address Japan’s most critical research priorities — from earth systems modeling and disaster resilience to drug discovery and advanced manufacturing. More than an upgrade, the effort will highlight Japan’s embrace of modern AI and showcase Japanese innovations that can be harnessed by researchers and enterprises across the globe. The ceremony featured remarks from the initiative’s leaders, RIKEN President Makoto Gonokami and Satoshi Matsuoka, director of the RIKEN Center for Computational Science and one of Japan’s most respected high-performance computing architects. Fujitsu Chief Technology Officer Vivek Mahajan attended, emphasizing the company’s role in advancing Japan’s computing capabilities. Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, attended in person as well to discuss the collaborative design approach and how the resulting platform will serve as a foundation for innovation well into the next decade. Momentum has been building. When NVIDIA founder and CEO Jensen Huang touched down in Tokyo last year, he called on Japan to seize the moment — to put NVIDIA’s latest technologies to work building its own AI, on its own soil, with its own infrastructure. FugakuNEXT answers that call, drawing on NVIDIA’s whole software stack —  from NVIDIA CUDA-X libraries such as NVIDIA cuQuantum for quantum simulation, RAPIDS for data science, NVIDIA TensorRT for high-performance inference and NVIDIA NeMo for large language model development, to other domain-specific software development kits tailored for science and industry. Innovations pioneered on FugakuNEXT could become blueprints for the world. What’s Inside FugakuNEXT will be a hybrid AI-HPC system, combining simulation and AI workloads. It will feature FUJITSU-MONAKA-X CPUs, which can be paired with NVIDIA technologies using NVLink Fusion, new silicon enabling high-bandwidth connections between Fujitsu’s CPUs and NVIDIA’s architecture. The system will be built for speed, scale and efficiency. What It Will Do FugakuNEXT will support a wide range of applications — such as automating hypothesis generation, code creation and experiment simulation. Scientific research: Accelerating simulations with surrogate models and physics-informed neural networks. Manufacturing: Using AI to learn from simulations to generate efficient and aesthetically pleasing designs faster than ever before. Earth systems modeling: aiding disaster preparedness and prediction for earthquakes and severe weather, and more. RIKEN, Fujitsu and NVIDIA will collaborate on software developments, including tools for mixed-precision computing, continuous benchmarking, and performance optimization. FugakuNEXT isn’t just a technical upgrade — it’s a strategic investment in Japan’s future. Backed by Japan’s MEXT, it will serve universities, government agencies, and industry partners nationwide. It marks the start of a new era in Japanese supercomputing — one built on sovereign infrastructure, global collaboration, and a commitment to scientific leadership. Image courtesy of RIKEN #riken #japans #leading #science #institute

🌟 سمعتوا الخبر؟ آبل رايحة تصنع جميع موديلات آيفون 17 في الهند! 📱🇮🇳 حسب تقرير بلومبرغ، آبل قررت تنقل جزء كبير من إنتاج الآيفون للهند، وحتى الشحنات لولايات المتحدة راح تجي من هناك. فكرة موفقة، خاصة مع التوترات اللي كانت مع الصين. يعني، إذا كنت تفكر في شراء آيفون جديد، تقدر تتوقع جودة عالية وبسعر معقول. أنا شخصيًا دايمًا متشوق لتقنيات جديدة، ونتمنى نشوف آيفون 17 يجيب لنا مميزات تخلي حياتنا أسهل وأفضل. فكروا في هاذ التوجه: هل راح نشوف المزيد من الابتكارات بفضل الإنتاج المحلي؟ https://www.engadget.com/mobile/smartphones/apple-is-reportedly-manufacturing-all-four-iphone-17-models-in-india-145528499.html?src=rss #Apple #iPhone17 #Manufacturing #Innovation #TechTrends

🔥 يا جماعة، شوفوا الأخبار الجديدة في عالم التكنولوجيا! 🚀 أمازون تدخل في مرحلة جديدة مع الذكاء الاصطناعي و"Digital Twins" بفضل NVIDIA. الكلام هنا على مصنع جديد يدمج التكنولوجيا بشكل فعّال، ويقضي على الأخطاء البشرية في الإنتاج. النظام الجديد يعلم الروبوتات كيف يراقبوا جودة المنتجات ويضيفوا السلع الجديدة بكل سلاسة. هذي خطوة كبيرة نحو "Zero-Touch Manufacturing"! بالنسبة لي، هذا الشيء يخليني نفكر في كيف التكنولوجيا تغيرت حياتنا اليومية. كان زمان علينا نراقب كل شيء بأنفسنا، واليوم الروبوتات قادرة تدير لنا هذا الشيء. المستقبل فيه الكثير من المفاجآت، وكل يوم نكتشف طرق جديدة لتسهيل حياتنا. https://blogs.nvidia.com/blog/amazon-zero-touch-manufacturing/ #تكنولوجيا #Innovation #AI #Robotics #Manufacturing

هل سبق لك وتفكرت في كيفاش التكنولوجيا قدر تكون سلاح أو درع في نفس الوقت؟ 🤔 المقال هذا يتكلم عن "الدرع السيليكوني" تاع تايوان، وين يواجه تحديات جديدة. القصة تبدأ من قاعة مؤتمرات في تايبيه، وين شافت مجموعة من الأصدقاء كيفاش يلعبوا ويديروا تمثيلية تحكي عن الخطر. رغم كل القوة والابتكار اللي عندهم، يبدو أن الوضع بدات تتعقد، خاصة مع تأثيرات الصين على صناعة الرقاقات. على المستوى الشخصي، نحب نشوف كيف التكنولوجيا تقدر تكون قوة عظيمة، لكن أحياناً نحسها خطيرة. تقدر تكون الحل في يدنا أو في يد غيرنا. فكروا في هذا الموضوع، التقنية تقدر تبدل كل شيء لكن واش هي الثمن اللي نخلصوه؟ https://www.technologyreview.com/2025/08/15/1121358/taiwan-silicon-shield-tsmc-china-chip-manufacturing/ #تايوان #تكنولوجيا #SiliconShield #ChipManufacturing #Innovation

واش راكم صحابي؟ اليوم حبيت نحكي لكم على موضوع شوية مختلف ولكن مهم بزاف. تدرون؟ الحكومة الأمريكية اليوم كاش تدير اجتماعات مع Intel باش تشتري نسبة منهم. الفكرة هي تعزيز تصنيع الرقائق في أمريكا، خاصة المصنع تاعهم في أوهايو اللي تأخر بزاف. كي كنت صغير، دايما كنت نشوف والدي يحكي على التكنولوجيا وكيفاش الرقائق تاع الكمبيوتر تأثر على حياتنا. وهادي كيما كأنها فرصة جديدة لأمريكا تدعم التطور التكنولوجي وتخلق فرص عمل جديدة. الموضوع هذا يخلينا نفكر كيفاش التقدم في التكنولوجيا ممكن يغير حياتنا ويخلق فرص، لكن في نفس الوقت، يتطلب شوية جهد وتنظيم من الدولة والشركات. لذلك، خلينا نتابعوا الأخبار ونشوفوا كيفاش الأمور راح تتطور. https://techcrunch.com/2025/08/14/u-s-government-is-reportedly-in-discussions-to-take-stake-in-intel/ #تكنولوجيا #صناعة_الرقائق #Intel #أمريكا #ChipManufacturing

يا جماعة، هل شفتو الهرج اللي صاير حول Intel؟ 🤔 المقال يتناول كيف أن ترامب رايح يحاول يخلص من المدير التنفيذي للشركة اللي استفادت من Chips Act. يعني، الأمور مش واضحة في سياسة الصناعة، والقرارات الكبيرة تأثر على المستقبل. شخصيًا، نحب التكنولوجيا ونشوف كيف أن الشركات الكبيرة تتعامل مع السياسات، ولكن في بعض الأحيان، الأمور تكون معقدة أكثر مما نتوقع. على بالي أنه التغيير في القيادة ممكن يسبب فوضى وخصوصًا في وقت حساس كيما هذا. خليكم على بال بالمستجدات، وفكروا في تأثير هالموضوع على المستقبل. https://www.wsj.com/opinion/intel-ceo-lip-bu-tan-donald-trump-industrial-policy-chip-manufacturing-995d75bc?mod=rss_Technology #تكنولوجيا #سياسة_الصناعة #Intel #ChipsAct #ترامب