Cybernet's Medical AI Computers deliver server-grade machine learning performance directly at the point of care. Housed in medical-grade, certified enclosures, these edge AI systems provide the raw processing power required for real-time surgical computer vision, advanced diagnostic imaging, and predictive clinical analytics.
Our medical-grade AI computers are divided into distinct performance tiers to match your facility's spatial limitations and computing requirements.
The premier choice for the modern Operating Room procedures (Bariatric Surgery, Endoscopic Colonoscopy, TAVR, POEM, etc). Built to handle heavy machine vision and live video feed calculations without relying on cloud latency. Features an integrated 7" front touchscreen panel for secondary telemetry, system controls, or live video feeds.
A high-powered computing footprint built for scalable clinical deployments. It balances massive internal NVMe storage capabilities with robust PCIe expansion, engineered to fit seamlessly onto medical carts, wall mounts, or inside larger diagnostic assemblies.
| CyberMed Ai2 | CyberMed Ai3 | |
|---|---|---|
| Primary AI Footprint | Single RTX™ Professional Series GPU | Dual RTX™ Professional Series GPUs |
| Max Memory / Storage | 128GB DDR5 / 7x SATA RAID | 128GB DDR5 / 4K Capture Card |
| Unique Hardware Feature | Compact Chassis, Triple LAN Ports | Built-in 7" Touchscreen Option |
| Ideal Workloads | EMR Data Crunching, Diagnostic Spectrometry, Lab Automation | Real-Time Surgical Vision, Endoscopy Analytics, Deep Learning |
Process live, high-frame-rate surgical camera feeds locally. Real-time video analysis tracks procedural phases, assists in anatomical mapping, and increases precision during complex interventions.
Edge AI detects subtle visual variations in diagnostic scans, pathology slides, and spectrometry data instantly—minimizing human oversight and providing immediate confirmation to radiologists and laboratory technicians.
By cross-referencing incoming patient sensor telemetry with legacy electronic health records (EHR) directly at the bedside, algorithms spot decompensation indicators hours before traditional alarms sound.
Unlike standard commercial desktops, the CyberMed Ai series utilizes specialized industrial motherboards and components rated for continuous 24/7/365 enterprise operation. Supported by Intel vPro technology, hospital IT administrators can remotely manage, diagnose, and patch these edge units even if the operating system is unresponsive.
Medical environments require a bridge between legacy diagnostic hardware and cutting-edge software layers. Our platforms feature quad PCIe expansion slots, multiple dedicated RS-232 COM ports, and up to three isolated gigabit LAN ports. This architecture ensures you can interface with vintage laboratory equipment while simultaneously piping telemetry into modern convolutional neural networks.
In critical care and surgical applications, a delay of even a few hundred milliseconds can impact clinical decision-making. By running deep learning models locally through NVIDIA's purpose-built AI acceleration architecture, the CyberMed Ai series bypasses cloud round-trips entirely, offering deterministic, sub-millisecond execution times.
Transmitting high-resolution patient video or imaging files across external networks presents significant data vulnerability. Localized inferencing guarantees that sensitive Protected Health Information (PHI) never leaves the physical parameters of your secure local hospital network, vastly simplifying HIPAA and internal security auditing.
Should a hospital experience an unexpected WAN outage or localized network congestion, cloud-dependent software assets fail immediately. Cybernet's Edge AI computers operate autonomously, ensuring that software-assisted diagnostics remain fully functional in emergency rooms and triage centers during infrastructure crises.
Cybernet is an Original Equipment Manufacturer (OEM). We don't just sell computers; we build them to your exact software and hardware specifications.
Yes. Both the Ai2 and Ai3 include a unique, flexible mounting plate that supports horizontal or vertical orientations. They are fully compatible with heavy-duty medical carts, articulation arms, and clinical wall mounts.
No. Cybernet Medical AI computers are built specifically for edge computing. By processing algorithms locally on internal NVIDIA® hardware, you eliminate data latency, save network bandwidth, and ensure total data privacy without relying on a constant internet connection.
Yes. The front panels and exterior chassis materials are ruggedized to withstand routine chemical wipe-downs with hospital-grade sanitizers, making them fully compliant with standard ICU and operating room infection control protocols.
Absolutely. As a direct OEM, we can pre-configure your units with custom Windows 11, Windows IoT, or Linux builds. We can also preload proprietary software images, SDKs, or frame grabber drivers at our facility, ensuring units arrive fully plug-and-play.
To satisfy the power draws of high-tier NVIDIA RTX GPUs, these platforms feature built-in, highly efficient medical-grade internal power supplies (ranging up to 1000W based on the model and GPU configuration). These power supplies carry full medical certifications to manage leakage currents and guarantee stable voltage regulation under intensive compute tasks.
Cybernet uses an embedded hardware roadmap for our medical products. We guarantee component availability and configuration consistency for up to five years from launch, protecting your IT deployments from the rapid component turnover typical of the consumer PC lifecycle.
A medical AI computer is specifically designed with discrete hardware acceleration—such as NVIDIA® RTX™ Tensor Core GPUs—and advanced multi-core processors to run complex artificial intelligence, deep learning, and computer vision algorithms locally at the edge. While standard medical PCs are built for charting, EMR access, and running basic clinical software, AI computers possess the heavy-duty compute power and thermal engineering required to process massive imaging and mathematical datasets with near-zero latency.
Edge processing runs AI algorithms locally on the hardware right at the patient's bedside or inside the operating theater. This approach delivers three major advantages over cloud architecture:
IEC 60601-1 is a strict global safety and performance standard required for medical electrical equipment in direct proximity to patients. For an AI computer, this certification guarantees advanced electrical isolation (ensuring near-zero electrical leakage currents) and full electromagnetic compatibility (IEC 60601-1-2). This prevents the computer's heavy-duty internal power supplies and graphics cards from causing electrical safety risks or emitting radio frequencies that could interfere with sensitive ventilators, anesthesia machines, or patient telemetry monitors.
Medical AI computers act as an automated, highly advanced second set of eyes for healthcare providers. Common use cases include:
Yes. Our high-tier medical AI computers can be configured with specialized onboard capture cards (supporting 12G-SDI and HDMI 2.0 architectures) capable of ingesting uncompressed 4K video at 60 frames per second. Backed by extensive system memory and high-bandwidth PCIe pathways, these machines can capture, display, and run parallel AI algorithmic models across multiple surgical video feeds simultaneously.
The outer enclosures and front touch panels of our medical computers are constructed from rugged, non-porous, medical-grade materials. They feature water-resistant sealed chasses (up to IP65 ratings) intentionally engineered to withstand routine, aggressive sanitization with harsh clinical chemical disinfectants—such as isopropyl alcohol, chlorine-based wipes, and bleach—without structural deterioration or liquid ingress.
To accommodate a wide array of proprietary clinical software, our AI hardware platforms are fully validated across Windows 11, Windows 10, Windows IoT Enterprise, and Ubuntu Linux distributions. They support standard AI/ML frameworks, software development kits (SDKs), and frame grabber libraries, allowing healthcare developers and medical device manufacturers to easily port their pre-trained machine learning models directly onto the hardware.
We design our computers with a rich array of modern and legacy inputs/outputs (I/O). Alongside high-speed USB-C, WiFi 7, and multi-gigabit LAN networks, our systems retain legacy physical interfaces like programmable COM serial ports (RS232/422/485). This allows hospitals to instantly modernize their facilities by plugging existing capital equipment—like older diagnostic spectrometry units or patient monitors—directly into a high-performance edge AI platform.
Yes. Through our comprehensive healthcare OEM/ODM services, Cybernet works closely with medical device manufacturers and software vendors who want to utilize our medically certified computers as the secure foundation for their own proprietary hardware suites. We offer hardware customization, specialized PCIe component mapping, custom BIOS configurations, unique corporate branding, and enterprise drive imaging to match your exact product specifications.