Accelerate edge AI development by getting sensor data to the GPU for real-time inference—at the edge or in the cloud.
Moon Surgical
Overview
Holoscan is a multimodal computing platform that delivers the accelerated, full-stack infrastructure you need for scalable, software-defined, and real-time processing of streaming data running at the edge.
Software-Defined Hardware
The Holoscan platform spans hardware and software components that bridge sensors with edge servers, networking, on-premises data centers, and cloud computing with optimized libraries, tools, and containers for data processing. It also includes template applications to facilitate rapid prototyping, sample AI models for jump-starting training, and core microservices to run streaming, imaging, and other applications.
Benefits
Get optimized performance for ultra-low-latency processing of high-throughput sensor data (video, audio, ultrasound, etc.), enabling fast AI inference and immediate decision-making.
Using a graph-based SDK with plug-and-play operators for I/O, preprocessing, inference, postprocessing, and visualization lets you build flexible, reusable pipelines in Python or C++, speeding up development and experimentation.
Run the same pipeline across the full range of target devices—from NVIDIA Jetson™ (embedded) to IGX (industrial edge) to the NVIDIA AGX™ and DGX (data center)—without rewriting your code. Holoscan abstracts the hardware while maximizing GPU acceleration.
Easily integrate key tools and libraries like NVIDIA® GPUDirect® for fast I/O and seamless integration with Holoscan Sensor Bridge for AI, and NVIDIA MONAI for medical imaging. This saves time and avoids stitching together disparate systems.
Use Cases
Holoscan enables cutting-edge AI solutions—from medical devices to healthcare, robotics, and scientific computing.
Holoscan provides real-time edge AI capabilities for medical device developers. Companies can now explore new AI-powered capabilities, accelerate time to market, and lower development and maintenance costs for medical-grade devices.
Atlas Meditech
Virtual Incision used the NVIDIA Holoscan platform to power its miniaturized surgical robot, MIRA, achieving low-latency, high-performance AI pipelines for real-time control and visualization. By using the Holoscan SDK, sensor bridge, NVIDIA® CUDA®, and IGX Orin with 6000 NVIDIA Ada GPUs, they cut system latency by 3x, enabling smoother robotic response and enhanced surgical workflow. NVIDIA Isaac Sim™ also supports virtual testing and synthetic data generation to accelerate AI skill development in simulation, ensuring reliability and efficiency in minimally invasive procedures.
Virtual Incision
Holoscan is a universal sensor processing platform, purpose-built for high performance while meeting the size, weight, and power (SWaP) constraints at the edge. It delivers a flexible software stack across a common high-performance hardware and software platform to accelerate data analysis and visualization workflows at the edge.
SETI Institute
Starting Options
Next Steps