Use Cases
Edge AI
Edge AI Solutions for Enhanced Performance and Real-Time Decision Making
Transforming Operations with Intelligent Edge AI
At Dedicated Computing, we empower organizations to leverage the benefits of Edge AI to meet the demands of modern industries. By deploying AI and machine learning capabilities at the edge of the network, we bring data processing closer to the source, enabling faster decision-making and enhanced security. Our solutions are designed to perform in the most challenging environments, ensuring real-time responses and operational efficiency across sectors such as healthcare, industrial automation, and video analytics.
What is Edge AI?
Edge AI combines the power of AI with edge computing, allowing data to be processed locally at or near the source—whether it’s sensors, industrial PCs, or embedded systems. This reduces latency, increases privacy, and ensures uninterrupted operations, even in remote or bandwidth-limited environments. Edge AI is essential for applications that require immediate insights, from autonomous vehicles and smart buildings to robotics and medical diagnostics.
Key Benefits of Edge AI Solutions
- Real-Time Analytics: Process data instantly at the source, enabling immediate responses for mission-critical operations.
- Reduced Latency: By minimizing reliance on cloud connectivity, our solutions ensure faster, more reliable decision-making.
- Enhanced Data Privacy: Data is processed locally, ensuring sensitive information remains secure.
- Scalable Integration: Seamlessly bridge edge devices with cloud infrastructure for comprehensive data analysis and model retraining.
- Optimized Bandwidth Usage: Minimize network load by processing data locally, reducing the need for high-bandwidth connections to the cloud.
Industry Applications
Edge AI is revolutionizing multiple sectors, delivering tangible results through smart data processing and real-time analytics:
- Healthcare & Life Sciences: From robotic-assisted surgeries to portable ultrasound devices, Edge AI enhances medical diagnostics and operational efficiency.
- Industrial Automation: Optimize predictive maintenance, quality control, and operational efficiency with AI-driven insights directly on the factory floor.
- Video Analytics: Improve public security, traffic management, and retail analytics through edge-processed real-time video analysis, recognizing critical patterns and behaviors instantly.
Our Edge AI Capabilities
Engineering & Design
Mechnical, electrical, system configuration, component selection, prototyping and more – at any stage of your product lifecycle.
Hardware & Software Integration
Seamless integration of cutting-edge technology like NVIDIA Holoscan for real-time AI processing.
Lifecycle Management
Ensuring long-term support and optimization throughout your system’s lifecycle.
Edge AI in Action
Healthcare and Life Sciences
Case Study
Moon Surgical Enhances Robotic-Assisted Surgery with AI and Real-Time Processing
Moon Surgical is pioneering a new category of collaborative surgical robotics with its groundbreaking Maestro™ System. Designed to enhance the capabilities of laparoscopic procedures, Maestro provides surgeons with stable visualization, reliable retraction and total control to optimize surgical performance.
“The NVIDIA IGX platform and the Dedicated Computing M1300, with the NVIDIA Clara Holoscan SDK, together provide the ability to accelerate Moon Surgical’s AI capabilities. An off-the-shelf hardware and software system solution at this level allows our team to focus on developing novel features and algorithms—saving precious time and capital.”
Computing Platforms for Edge AI
eBook: M1300
Our M1300 AI Inference Server is a state-of-the-art edge device designed for real-time video analytics. Powered by the NVIDIA IGX Orin 700 and supporting advanced GPUs, this server is ideal for high-performance environments like robotic surgery – where it is medical-ready – and industrial video analytics, ensuring low-latency, high-accuracy processing at the edge.
Solution Brief: On the Cutting Edge (AI)
How Edge AI is shaping smarter industries by driving real-time intelligence closer to the data source. With use cases and customer case studies, this paper can contribute to the business case for deploying Edge AI.
Connect Engineer-to-Engineer
Dedicated Computing provides access to engineering resources as part of our Product Management and Customer Engagement process. To request a meeting, click the Contact Us button below.