Nvidia Launches IGX Edge AI Computing Platform for Safe, Secure Autonomous Systems

September 20, 2022

Sept. 20, 2022 — NVIDIA today introduced the NVIDIA IGX platform for high-precision edge AI, bringing advanced security and proactive safety to sensitive industries such as manufacturing, logistics and healthcare. In the past, such industries required costly solutions custom built for specific use cases, but the IGX platform is easily programmable and configurable to suit different needs.

As the platform for safe, secure autonomous systems, IGX improves human-machine collaboration. 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, IGX 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, founder and 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.”

NVIDIA IGX Platform — Ensuring Compliance in Edge AI

The NVIDIA IGX platform is a powerful combination of hardware and software that includes NVIDIA IGX Orin, 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 an NVIDIA ConnectX-7 SmartNIC to deliver 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 design built for the needs of the industrial and medical device industries.

Also included is a powerful 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 optimizes the development and deployment of AI workflows and ensures organizations 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 allows organizations to deploy secure, over-the-air software and system updates from a central cloud console.

Building the Industrial Edge

NVIDIA is working with a broad ecosystem of companies to bring the IGX platform to market.

One of the first companies to use IGX at the edge is Siemens, a technology leader in industrial automation and digitalization, 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.

Siemens is already adding next-level perception into its edge-based applications through NVIDIA Metropolis. With millions of sensors in factories, Metropolis connects entire fleets of robots and IoT devices to bring AI into industrial environments, making it one of the key application frameworks for edge AI running on top of the IGX platform.

“As part of our ongoing collaboration with NVIDIA to speed digital transformation, Siemens will bring IGX technologies to our industrial compute portfolio to help reduce repetitive tasks in the factory and better support workers,” said Rainer Brehm, CEO of factory automation at Siemens. “By more closely connecting smart devices on the factory floor and using that data for intelligent machine operation in production, we can increase efficiency and flexibility for our customers.”

Made for Medical Environments

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, where over 300 million surgeries are delivered each year globally.

More than 70 medical-device companies, startups and medical centers have already been using Holoscan to advance their efforts in deploying AI applications to clinical settings and evolving medical devices to a software-as-a-service business model. Among them are Activ Surgical, Moon Surgical and Proximie, which are building next-generation surgical systems. With Clara Holoscan and IGX, Moon Surgical said it saved significant engineering time in its imaging pipelines, management system and hardware while developing its next-generation Maestro surgical robot assistant.

“By harnessing NVIDIA Clara Holoscan to power Maestro’s next-gen capabilities, Moon is creating an exceptional surgical experience,” said Anne Osdoit, CEO of Moon Surgical. “This collaboration has accelerated Moon’s time to market and allowed the team to focus on developing novel features and algorithms, confident that cutting-edge computing architecture is at the heart of the Maestro System.”

To learn more about NVIDIA IGX, watch Huang’s GTC keynote. Register for GTC for free to attend sessions with NVIDIA and industry leaders.


Source: Nvidia

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire