The platform will replace costly solutions custom built for specific use cases and is programmable and configurable to suit different needs.
For manufacturing and logistics, IGX provides an additional layer of safety in highly regulated physical-world factories and warehouses. For medical edge AI use cases, it delivers secure, low-latency AI inference to address the clinical demand for instantaneous insights from a range of instruments and sensors for medical procedures, such as robotic-assisted surgery and patient monitoring.
“As humans increasingly work with robots, industries are setting new functional safety standards for AI and computing,” said Jensen Huang, CEO of NVIDIA. “NVIDIA IGX will help companies build the next generation of software-defined industrial and medical devices that can safely operate in the same environment as humans.”
The IGX platform combines hardware and software that includes NVIDIA IGX Orin, currently the world’s most powerful, compact and energy-efficient AI supercomputer for autonomous industrial machines and medical devices.
IGX Orin developer kits will be available early next year for enterprises to rapidly prototype and test products. Each kit comes with an integrated GPU and CPU for high-performance AI compute and a NVIDIA ConnectX-7 SmartNIC capable of delivering high-performance networking with ultra-low latency and advanced security.
ADLINK, Advantech, Dedicated Computing, Kontron, Leadtek, MBX, Onyx, Portwell, Prodrive Technologies and YUAN will be among the first embedded-computing manufacturers to create products based on the IGX platform.
Also included is a software stack with critical security and safety capabilities that can be programmed and configured for different use cases. These features allow enterprises to add proactive safety into environments where humans and robots work side by side, such as warehouse floors and operating rooms.
The IGX platform can run NVIDIA AI Enterprise software, which optimises the development and deployment of AI workflows and ensures organisations have access to necessary AI frameworks and tools. NVIDIA is also working with operating system partners like Canonical, Red Hat and SUSE to bring full-stack, long-term support to the platform.
For management of IGX in industrial and medical environments, NVIDIA Fleet Command make sit possible to deploy secure, over-the-air software and system updates from a central cloud console.
NVIDIA said that it is working with a broad ecosystem of companies to bring the IGX platform to market with one of the first companies to use IGX at the edge being Siemens, which is working with NVIDIA on a vision for autonomous factories.
Siemens is collaborating with NVIDIA to expand its work across industrial computing, including with digital twins and for the industrial metaverse.
The collaboration will allow enterprises to complement work carried out using the NVIDIA Omniverse platform for 3D design and collaboration and the Siemens Xcelerator open digital business platform with the powers of IGX.
The platform enables data generated from digital twins in the virtual world to be used to train intelligent machines operating in real-life factories and warehouses using industrial-grade computing infrastructure from Siemens.
For healthcare, the IGX platform supports NVIDIA Clara Holoscan — a real-time, AI computing platform for medical devices — enabling the rapid development and production deployment of new devices that deliver AI applications directly into operating rooms.
