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

The Americas, led by the United States, Canada, and Brazil, now account for more than billion USD in annual video game revenue. This is one of the most valuable and competitive regions in global gaming, where success depends not just on great content, but on delivering seamless, localized checkout experiences. As players across North and South America demand more control, flexibility, and speed when making purchases, the payment methods developers offer can directly impact revenue, retention, and market expansion.Meeting gamers wherever they want to pay is no longer optional.United States: Faster and installment options gain steamIn the U.S., traditional credit and debit card dominance is waning. Players are adopting faster, bank-linked payment options and installment-based methods that offer both security and flexibility.Pay by Bank has rapidly grown in popularity, especially among mobile and younger users who prioritize speed and security. As of early 2025, nearly 9 million Americans use Pay by Bank each month. With major retailers backing the method, transaction volume is expected to surpass billion this year.In parallel, Affirm has emerged as a top Buy Now, Pay Laterprovider in the U.S. and beyond. Affirm has processed over billion in transactions over the past five years and now serves nearly 17 million active users. By enabling purchases in manageable installments, BNPL increases accessibility and boosts average transaction size, especially for higher-value bundles, subscriptions, and digital add-ons.Canada: Flexibility drives adoptionThe Canadian market shares many consumer behaviors with its U.S. counterpart, but it has its own unique payment dynamics. Canadian gamers, particularly younger ones, are showing strong demand for installment-based options that give them more control over spending.Affirm’s footprint in Canada is expanding fast. As of February 2025, Affirm is integrated at checkout across more than 279,000 retailers. This early adoption wave shows how developers can gain an edge by offering localized, flexible payments tuned to consumer expectations.Brazil: Mobile-first, subscription-readyBrazil stands out as one of the most mobile-driven gaming economies globally. Recurring payments and digital wallets are the default here, not the exception.Mercado Pago is one of the most widely adopted payment platforms in Brazil. As of Q1 2025, it reported 64 million monthly active users—a 31% year-over-year increase. For game developers, this platform isn’t just another option—it’s critical infrastructure. Its recurring billing features make it especially well-suited to live service games, battle passes, and subscription models.By adding support for Mercado Pago, Xsolla helps developers enable long-term monetization and retention while removing friction for a massive mobile audience that expects fast, familiar, and reliable payment flows.One infrastructure, multiple marketsThese regional payment trends aren’t just interesting; they’re actionable. Developers who integrate local methods can significantly increase conversion rates, reduce purchase drop-offs, and build trust in highly competitive markets.Platforms like Xsolla Pay Station now provide integrated support for these local options: Pay by Bank, coming soon in the U.S., Affirm in both the U.S. andCanada, and recurring billing via Mercado Pago in Brazil. With a single implementation, developers can reach more players using payment tools they already trust.Why it mattersThe stakes are high. Without support for local payment methods, developers risk underperforming in key markets. A generic global checkout can’t match the expectations of users who are used to specific transaction styles, like fast confirmation via Pay by Bank or the flexibility of BNPL.And when users don’t see familiar, trusted options, they abandon their carts. That’s not just a missed opportunity, it’s a loss of lifetime value. Retention and loyalty begin at the first purchase. Providing secure, localized checkout experiences lays the foundation for long-term engagement.What developers should do nowTo grow in the Americas, it’s no longer enough to simply localize game content. Payment localization is equally vital. Developers expanding into the U.S., Canada, or Brazil should evaluate whether their current checkout options match how players in those countries actually prefer to pay.Supporting Pay by Bank and Affirm in the U.S. opens the door to millions of gamers who want speed and flexibility. Adding Affirm in Canada addresses a growing demand among younger users. Enabling recurring billing through Mercado Pago in Brazil unlocks subscription revenue in a market that’s mobile-first by default.As the competitive landscape shifts, aligning payment infrastructure with regional preferences isn’t just smart, it’s essential. Game developers who do it well will not only unlock more revenue but also build stronger, more loyal player communities in the process.Read the original article here #payments #americas

ستحبوا هاد الجديد! 🚗✨ مؤخراً، قرأت مقال عن كيفاش Urban Automotive، واحد التونر من UK، زادوا للـMercedes G-Class لمسة خاصة بفضل الكيت Widetrack. يا سلام! هاد السيارة عندها جمالية خاصة، لكن مع هاد التعديل، ولاّت تحبس الأنفاس أكثر. شفت الفيديوهات وعيطت دايماً على هاد الطراز، حسا كأنها فخامة فريدة في كل تفصيلة. كي تشوفها، تحس روحها فيها أناقة وقوة. بالنسبة لي، كلما زادوا التعديلات المبهرة، كلما زادت المتعة في القيادة. لازم نفكر كيفاش يمكن نحسنوا من تجاربنا اليومية كيما هاد التعديل اللي يغير كل حاجة. https://www.benzinsider.com/uk-tuner-unlocks-a-bolder-aura-for-the-mercedes-g-class/ #MercedesGClass #Tuning #UrbanAutomotive #AutoPassion #LuxuryCars

🚗💨 هل فكرت يومًا في كيفاش برابوس يقدر يحيي السيارة ويطلع منها طاقة خيالية؟! المقال الجديد يتحدث عن مرسيدس AMG GT 63 S E Performance، والسيارة هذي ما هيش مجرد اسم طويل، بل هي وحش على الطريق! برابوس قرر يضيف طابع خاص ويعطيها حزمة "Brabus 1000" اللي تزودها بـ 986 حصان. هذي القوة تخلينا نفكر في التجارب اللي ممكن نعيشوها مع سيارات كيما هذي. شخصيًا، أنا نحب السيارات السريعة، ونشوف أنو كلما كانت القوة أكبر، كلما كانت المتعة أحلى. شكون معايا في هذي التجربة؟ المقال يستحق القراية، وكي تتخيل هذي الحصان، يتجبدلك الابتسامة! https://www.benzinsider.com/brabus-unlocks-986-hp-from-the-mercedes-gt-63-s-e-performance/ #سيارات #Brabus #Mercedes #قوة #Performance