NVIDIA Boosts Real-Time AI for Healthcare with Enterprise-IGX &amp; Holoscan
At NVIDIA COMPUTEX 2024, the GPU giant announced the availability of NVIDIA AI Enterprise-IGX with Holoscan on the IGX platform, improving real-time AI computing capabilities for healthcare, industrial, and scientific applications at the edge. This integration enables faster development and deployment of AI solutions with enterprise-grade software and support. NVIDIA AI Enterprise-IGX claims to offer high performance, security, and support for the edge computing software stack, streamlining AI-powered operations and the deployment of AI applications at scale. The inclusion of Holoscan, a sensor-processing platform, further enhances the development and deployment of AI and high-performance computing applications, delivering real-time insights. The combination of these technologies cuts the time and costs required to build advanced AI solutions across various industries, meeting unique performance and regulatory requirements. The NVIDIA IGX platform, now supporting the RTX 6000 Ada GPU and the IGX Orin 500 system-on-module, delivers significant improvements in AI performance and computing power. “As software-defined functionality continues to transform businesses across industries, enterprises are seeking powerful edge AI solutions that can meet their unique performance and regulatory requirements,” said Deepu Talla, vice president of robotics and edge computing at NVIDIA. Customer Stories Leading medical technology companies are rapidly adopting NVIDIA IGX with Holoscan. For example, Medtronic uses the platform for its GI Genius intelligent endoscopy module, which is the first FDA-cleared AI-assisted colonoscopy tool. This technology helps physicians detect polyps that could lead to colorectal cancer. Moon Surgical employs IGX with Holoscan to power its Maestro System, a surgical robotics system designed to assist surgeons with precision and control during minimally invasive procedures. The platform’s capabilities have accelerated the development and enhancement of these medical technologies, ultimately improving patient care and safety. In the industrial sector, ADLINK leverages NVIDIA IGX to build industrial-grade edge AI solutions that enhance factory automation and robotic collaboration. These solutions improve functional safety and high-bandwidth sensor processing, transforming operations like machine movement routing, robotic arm operation, and charging-station monitoring. The platform’s powerful computing capabilities ensure more efficient and seamless human-robot collaboration. The SETI Institute is another notable adopter, using NVIDIA IGX Orin to power radio astronomy capabilities at the Hat Creek Radio Observatory. This technology enables the processing of multiple terabits per second of radio telescope data, facilitating the detection of weaker and rarer astrophysical phenomena. The advanced capabilities of the IGX platform, combined with Holoscan, provide exceptional computational performance for real-time radar processing and radio astronomy. Clinical Trials Optimised with NVIDIA’s Meta Llama 3 Available as an NVIDIA NIM inference microservice, Meta Llama 3 supports a wide range of applications, including surgical planning, digital assistants, drug discovery, and clinical trial optimisation. At COMPUTEX, NVIDIA announced that hundreds of AI ecosystem partners are integrating NIM into their solutions. Over 40 healthcare and life sciences startups and enterprises are using the Llama 3 NIM to build and run applications that accelerate digital biology, digital surgery, and digital health. Deloitte, for example, uses the Llama 3 NIM and other microservices for drug discovery and clinical trials, driving efficiency in garnering data-based insights from gene to function. Transcripta Bio uses Llama 3 for accelerated intelligent drug discovery, leveraging its AI modeling suite, Conductor AI, to predict the effects of new drugs. In clinical trials, companies like Quantiphi and ConcertAI utilise NVIDIA NIM to develop generative AI solutions for research and patient care, enhancing workforce productivity and improving outcomes. Mendel AI uses the Llama 3 NIM for its Hypercube copilot, offering a 36% performance improvement in understanding medical data at scale. Precision medicine company SimBioSys uses the Llama 3 NIM to analyse breast cancer diagnoses and provide tailored guidance for physicians. Artisight automates documentation and care coordination with ambient voice and vision systems, while AITEM builds healthcare-specific chatbots. Abridge uses the NIM for clinical conversation summarisation, improving the efficiency and accuracy of physician-patient encounters. Recently, the company announced its Q1 FY25 results, reporting a profit of $14.881 billion, a 600% increase from the same quarter last year. The company’s revenue reached $26.04 billion, exceeding the $24.65 billion estimate, and earnings per share (EPS) were $6.12, significantly higher than the projected $5.59.
Additionally, available as an NVIDIA NIM inference microservice, Meta Llama 3 supports a wide range of applications, including surgical planning, digital assistants, drug discovery, and clinical trial optimisation.
Additionally, available as an NVIDIA NIM inference microservice, Meta Llama 3 supports a wide range of applications, including surgical planning, digital assistants, drug discovery, and clinical trial optimisation. 
["Healthcare Automation", "NVIDIA"]
["AI", "chatbots", "ML", "RAG", "Healthcare Automation", "microservices", "Aim", "generative AI", "edge AI", "edge computing", "NVIDIA", "R"]
["AI", "ML", "generative AI", "Aim", "edge AI", "RAG", "chatbots", "microservices", "edge computing", "R"]
Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&amp;I, hiring in tech and more.