Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
New Data Shows NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Costs for Agentic AI
The NVIDIA Blackwell platform has gained significant traction among top inference providers, including Baseten, DeepInfra, Fireworks AI, and Together AI, achieving reductions in cost per token by as much as 10 times. Building on this success, NVIDIA has introduced the Blackwell Ultra platform, which aims to enhance these cost efficiencies further. This development reflects NVIDIA's commitment to advancing AI technology and providing more affordable solutions for inference tasks, thereby supporting the growing demand for cost-effective AI applications in various industries.
NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
Artificial Analysis has launched AgentPerf, the industry's first benchmark for agentic AI, aimed at providing developers, enterprises, and infrastructure providers with a standardized method to evaluate and compare various systems designed for agentic AI capabilities. The initial results have highlighted NVIDIA's Blackwell as a leading performer in this emerging field. This development comes as the demand for advanced AI systems continues to grow, prompting the need for reliable metrics to assess their effectiveness and efficiency. By establishing a clear framework for comparison, AgentPerf seeks to facilitate informed decision-making among stakeholders in the AI sector.
Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0
In the rapidly evolving field of artificial intelligence, the initial phase of developing any advanced AI model begins with a crucial training run. The efficiency and effectiveness of this training process are heavily influenced by the underlying infrastructure that supports it. This infrastructure determines the speed at which teams can refine their models, the scale of the models they are capable of constructing, and the reliability of job completions. As AI technology continues to advance, the importance of robust and efficient training environments becomes increasingly clear, impacting the overall progress and capabilities of AI development.
Leading Inference Providers Cut AI Costs by up to 10x With Open Source Models on NVIDIA Blackwell
In a groundbreaking development in artificial intelligence, various sectors are harnessing the power of tokens to enhance user interactions. From providing diagnostic insights in healthcare to facilitating character dialogues in interactive gaming and enabling autonomous resolutions in customer service, these AI-driven applications are revolutionizing how industries engage with users. This shift is occurring as organizations seek to improve efficiency and user experience by leveraging advanced AI technologies. The integration of tokens allows for seamless communication and problem-solving, showcasing the versatility of AI across different fields. As of October 2023, this trend is expected to continue evolving, further embedding AI into everyday interactions and services.
Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs
Roche has announced the deployment of over 3,500 NVIDIA Blackwell GPUs across its global operations, significantly enhancing its research and development productivity, next-generation diagnostics, and manufacturing efficiencies. This strategic move aims to integrate advanced computing capabilities throughout the entire value chain, thereby accelerating innovation and improving operational performance. The initiative reflects Roche's commitment to leveraging cutting-edge technology to drive advancements in healthcare and streamline its processes.
NVIDIA Brings GeForce RTX Gaming to More Devices With New GeForce NOW Apps for Linux PC and Amazon Fire TV
At the CES trade show taking place this week in Las Vegas, NVIDIA unveiled significant enhancements to its GeForce NOW cloud gaming service. The company announced the introduction of additional devices and games, expanding the platform's versatility and accessibility for gamers. This upgrade is powered by the advanced GeForce RTX 5080-class performance, leveraging the capabilities of the NVIDIA Blackwell RTX architecture. The initiative aims to provide an enriched gaming experience, catering to the growing demand for cloud-based gaming solutions.
Aetina Expands Nvidia Jetson Support with T3000 and T2000 AI Modules
Aetina, a specialist in edge AI computing, is set to enhance its offerings by adding support for the newly unveiled Nvidia Jetson T3000 and T2000 modules. These modules are designed for robotics and industrial edge AI applications, and Aetina plans to integrate them into its DeviceEdge AIE-KT and AIE-PT systems, providing scalable and efficient AI computing solutions. This expansion is significant as it allows Aetina to leverage Nvidia's advanced AI capabilities, including the ability to run generative AI models with low latency, which is crucial for applications like humanoid robots. The Nvidia Jetson T3000 module boasts up to 865 FP4 TFLOPS, while the T2000 offers up to 400 FP4 TFLOPS, catering to a range of robotics applications from visual AI agents to autonomous mobile robots. Looking ahead, Aetina is among the first partners to support these new modules, with Nvidia expecting them to be available in the first quarter of 2027. The company plans to provide further details on system specifications and developer support as the launch date approaches, making it a key player in the evolving landscape of AI-driven robotics solutions.
Computing Industry Aetina automation Autonomous robots DeviceEdge AIE-KT
Performance per Watt: Key Metric for AI Infrastructure Efficiency and Profitability
Power constraints are critical for AI infrastructure, influencing revenue and profitability based on token generation within a fixed power budget. Performance per watt emerges as a vital metric, reflecting real-world results and shaping the scalability of AI factories in a power-limited environment. The NVIDIA Blackwell NVL72 platform exemplifies this metric, delivering the highest performance per watt and enabling organizations to maximize revenues while minimizing token costs. As AI models evolve, the need for architectural optimizations becomes essential, with the latest NVIDIA GB300 NVL72 achieving up to 25 times the performance per watt compared to previous generations. Looking ahead, NVIDIA's Vera Rubin platform aims to enhance energy efficiency further, while tools like DynoSim help teams optimize their performance. The ongoing improvements in software and the design of rack-scale systems highlight the importance of engineering rigor in managing the complexities of AI factory operations. No further timeline was disclosed at the time of publication.
Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure
Anthropic has announced the general availability of its Claude models, which are now hosted on Microsoft Azure and powered by NVIDIA's GB300 Blackwell Ultra GPUs. This development provides enterprises utilizing Azure with an advanced tool to create autonomous and specialized AI solutions. The integration of these models aims to enhance the capabilities of businesses in various domains, enabling them to leverage cutting-edge technology for improved operational efficiency and innovation. The launch reflects a growing trend in the AI sector, where companies are increasingly seeking robust platforms to support their AI initiatives.
Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs
PNY, a prominent supplier of NVIDIA RTX PRO™ 6000 Blackwell Series graphics cards, is enabling organizations to effectively address the challenges posed by contemporary AI workflows. This initiative supports a range of activities, from rapid prototyping to scalable deployment, ensuring that businesses can keep pace with the evolving technological landscape. By providing advanced hardware solutions, PNY aims to enhance productivity and innovation in various sectors reliant on artificial intelligence.
Powering the next era of AI in manufacturing: Why it’s time to upgrade to the NVIDIA RTX PRO 4500 Blackwell Workstation Edition
NVIDIA has unveiled its latest advancements in manufacturing technology, showcasing how artificial intelligence and digital twins can significantly accelerate innovation in the industry. This announcement was made during a recent event held in October 2023, where industry leaders gathered to explore cutting-edge solutions. The integration of AI and digital twin technology aims to enhance efficiency and streamline processes within manufacturing operations. By leveraging NVIDIA's Blackwell architecture, companies can expect improved data processing capabilities that facilitate real-time decision-making and predictive analytics. This transformation is poised to not only boost productivity but also drive competitive advantage in an increasingly fast-paced market.
Transforming Data Science With NVIDIA RTX PRO 6000 Blackwell Workstation Edition
In response to the increasing demands of data science, PNY Technologies has introduced the NVIDIA RTX PRO 6000 Blackwell Workstation Edition, a powerful solution designed to enhance the efficiency of data preparation, scaling, and processing for massive datasets. As traditional CPU-based systems struggle to keep pace with modern AI and analytics workflows, this workstation offers accelerated computing performance that seamlessly integrates into enterprise environments. The launch of the RTX PRO 6000 comes at a time when data scientists face significant challenges, including the complexity of data preparation and the rapid growth of data volumes, which often leads to suboptimal downsampling practices. With the demand for advanced AI hardware outstripping supply, PNY's workstation aims to fill this gap by providing real-time rendering, rapid prototyping, and collaboration capabilities. Equipped to support up to four NVIDIA RTX PRO 6000 GPUs, this workstation delivers data center-level performance directly to users' desktops, enabling them to handle extensive datasets and perform advanced visualizations efficiently. The system is optimized for AI workflows, leveraging NVIDIA's software stack to facilitate zero-code-change acceleration for Python-based tasks and support over 100 AI applications. By offloading compute tasks from data centers and minimizing reliance on cloud resources, organizations can enhance security and reduce costs. The RTX PRO 6000 Blackwell Workstation Edition is positioned as a transformative tool for data scientists, streamlining the entire data science pipeline from preparation to model deployment, and significantly boosting productivity and innovation in enterprise-ready AI development.
Artificial-intelligence Computing Data-science Gpu-acceleration Ai-workstations Nvidia
Nvidia’s AI Hardware Comes to Windows in RTX Spark PCs
At Computex 2026 in Taipei, Taiwan, Nvidia unveiled its highly anticipated RTX Spark superchip for Windows PCs, marking a significant development in the tech industry. This announcement, which comes a year later than initially expected, was made in collaboration with Microsoft, which introduced two new devices powered by the RTX Spark: the Surface Laptop Ultra and the Surface RTX Spark Dev Box. Major PC manufacturers, including Asus, Dell, Lenovo, HP, and MSI, also showcased their Windows PCs featuring the new chip. The RTX Spark is based on Nvidia's Blackwell GB10 architecture, boasting 20 Arm CPU cores, 6,144 GPU cores, and support for up to 128 gigabytes of LPDDR5X memory. While the chip is designed to consume less power than its predecessor, the DGX Spark, it is expected to maintain strong performance, particularly in gaming and professional applications. Analysts suggest that Nvidia's established presence in the GPU market, with over 90% share, will enhance the software ecosystem for RTX Spark, setting it apart from previous attempts by Qualcomm and Microsoft with their AI-focused Copilot+ PCs. As Nvidia and Microsoft aim to position RTX Spark as a viable alternative to traditional x86 chips from Intel and AMD, they face the challenge of proving its effectiveness as a general-purpose PC. The launch is seen as a strategic move to leverage AI capabilities while appealing to both creators and gamers, with Nvidia emphasizing the importance of robust software support alongside hardware advancements. RTX Spark desktop workstations are expected to be available in the third quarter of 2026, further expanding the potential applications of this new technology.
Nvidia Pcs Windows Arm Ai-hardware
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift Visit http://go.abb/robotics for further information -The new Flexley Stack F712 extends ABB Robotics’ AI-powered Visual SLAM technology to autonomous forklifts, enabling pallet transport and high-density storage. -Customers can now deploy mixed fleets of Visual SLAM-powered tugs, movers and forklifts on a common navigation, fleet management and software platform. -Powered by ABB Robotics' AMR Studio, the portfolio enables up to 20% faster commissioning while ensuring seamless interoperability and safe, reliable operation. 07/07/26, 07:10 AM | Industrial Robotics, Mobile Robots | ABB Inc. ABB Robotics is expanding its Autonomous Mobile Robotics (AMR) portfolio with the launch of the Flexley® Stack F712, creating a complete interoperable ecosystem across all major Visual SLAM AMR types. Combining autonomous forklifts, tugs and movers on one platform, ABB Robotics enables customers to automate a broader range of material-handling and intralogistics processes. Offering market-leading accuracy, the F712 is designed for demanding material handling, end-of-line storage and warehouse operations across industries including automotive manufacturing, helping increase efficiency, flexibility and scalability. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data "Across intralogistics operations, businesses are being asked to process greater volumes in less time, while working with increasingly limited resources," said Marc Segura, President, ABB Robotics. "They are under pressure to move goods faster and with greater flexibility, while labour availability is becoming a critical constraint. As part of our journey to more autonomous and versatile robotics (AVRTM), we have combined advanced vision, mobility and intelligence in the Flexley Stack F712 forklift AMR, completing our scalable, AI-powered AMR portfolio." F712 is versatile, capable of handling multiple load types and sizes - including open and closed pallets, containers or racks- up to 2,000 kg and reaching heights of 8.5 meters. The Flexley Stack AMR F712 joins the Flexley Tug and Flexley Mover in ABB Robotics' growing Visual SLAM AMR portfolio. Applications include intralogistics tasks such as warehouse storage and retrieval, as well as line supply, end-of-line handling, body- and press-shop and drive-in and light buffer in the automotive and industries sector. Unlike conventional AMR forklifts on the market, F712 uses Visual SLAM to map and navigate its environment, eliminating the need for pre-installed infrastructure like markers or reflectors. The AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a market-leading positional accuracy of ±10 mm. Together with AMR Studio®, this shortens commissioning times by up to 20 percent and creates a versatile and reliable system that can adapt instantly when a warehouse or production floor layout changes. Certified to the latest ISO and ANSI safety standards, Flexley Stack F712 can safely operate at class-leading speeds of up to 1.7 m/s while loaded. F712 is fully integrated with AMR Studio and is VDA5050 compatible, enabling seamless integration with ABB Robotics' Visual SLAM AMRs and existing systems within a unified project. This makes it easy to manage complex projects and integrate different types of mobile robots. The no-code, drag-and-drop software suite supports rapid setup, fleet coordination, traffic management and real-time visualization, allowing ABB Robotics' tugs, movers and forklifts to operate together in the same layout for scalable turnkey automation projects. ABB Robotics as one of the world's leading robotics companies, is the only company with a comprehensive and integrated AI-powered portfolio covering robots, cobots and Autonomous Mobile Robots (AMRs), designed and orchestrated by our value-creating software. We help companies of all sizes and sectors - from automotive to electronics and logistics - to outperform by becoming more resilient, flexible and efficient. ABB Robotics is at the forefront of developing and commercializing a new generation of Autonomous Versatile Robotics
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
