Advantech stated its newest methods deliver the ability of NVIDIA’s Jetson Thor platform to real-world functions. | Supply: Advantech
Advantech, a developer of edge computing expertise, launched a brand new lineup of application-focused Edge AI methods powered by NVIDIA Jetson Thor modules. The corporate is concentrating on real-world robotics functions by way of hardware-software built-in methods for robotics, medical AI, and knowledge AI.
Every providing options application-specific {hardware} platforms, pre-integrated with JetPack 7.0, distant administration instruments, and vertical software program suites reminiscent of Robotic Suite and GenAI Studio. Constructed on a container-based structure, these methods provide better flexibility and quicker improvement cycles, Advantech stated.
Advantech stated the NVIDIA Jetson Thor collection set a brand new benchmark for edge AI, delivering as much as 2070 FP4 TFLOPS of AI efficiency, together with vital enhancements in CPU efficiency and vitality effectivity.
Along with offering NVIDIA Jetson Thor boards, methods, and software program design-in companies for vertical options, Advantech collaborates intently with ecosystem companions on key applied sciences reminiscent of sensor and digicam integration, in addition to thermal design. This holistic strategy empowers builders to construct and deploy edge AI functions quicker, extra simply, and extra effectively, the corporate claimed.
Taipei, Taiwan-based Advantech develops IoT clever methods and embedded platforms, with a deal with edge computing and edge AI. The firm targets 5 key markets: edge intelligence methods, manufacturing, vitality and utilities, healthcare, and metropolis companies and retail.
Advantech affords robotic controllers for humanoids, AMRs, AVs, and surgical robots
Advantech purpose-built the ASR-A702 and AFE-A702 robotic controllers for humanoids, AMRs, and unmanned automobiles. They ship real-time AI reasoning and inference with GPU-accelerated SLAM, supporting multi-camera GMSL, 2D/3D sensors, and IMUs.
With Robotic Suite for plug-and-play improvement, plus Isaac ROS/Sim and Holoscan for real-time notion and ultra-low latency knowledge flows, they allow fast integration and deployment.
Key options embody {hardware} time sync, ESD safety, anti-vibration design, and OTA upgrades— making certain steady, protected, and high-performance computing throughout good logistics, service robotics, and mission-critical unmanned functions.
By leveraging NVIDIA Jetson Thor with superior SDKs reminiscent of Holoscan and MONAI, Advantech empowers next-generation Medical AI board AIMB-294 and system EPC-T5294. These platforms speed up real-time sensor processing, picture evaluation & streaming AI pipeline, pre-trained mannequin, and 3D imaging optimization, and surgical robotics focus with low latency and excessive precision for working rooms, medical workflows, and clever diagnostic instruments.
Advantech goals to deliver LLMs to the sting
AIR-075 delivers highly effective computing with 4× 10GbE and GMSL interfaces to fulfill Knowledge AI calls for in visitors and manufacturing facility functions. Mixed with NVIDIA AI, NVIDIA Metropolis, NVIDIA Triton, NVIDIA Cosmos Cause, and Advantech Edge AI SDK & DeviceOn, it permits sensor fusion, multi-model inference, a visible AI agent, and centralized administration for real-time, predictive edge intelligence.
Advantech Container Catalog (ACC) delivers a cluster of ready-to-develop edge AI functions, together with end-to-end pc imaginative and prescient and Edge LLM environments optimized for AI agent integration on NVIDIA Jetson platforms. It additionally affords domain-specific options from ecosystem companions—reminiscent of robotics notion, surgical imaging, healthcare, and good metropolis sensing—enabling fast deployment throughout industrial and vertical markets.
Totally suitable with WEDA (WISE-Edge Developer Structure), its containerized structure permits scalable edge AI growth, from single-node setups to distributed edge networks.