GPU & Accelerator Solutions for High-Performance Business Demands
Unlock advanced computing capabilities with reliable, scalable GPU & accelerator systems for industrial and commercial operations.
Overview
Today’s high-performance computing environments demand advanced processing power to support real-time analytics, deep learning, video rendering, and automation. GPU & accelerator technologies are at the core of these capabilities, providing the horsepower required for compute-intensive applications. This webpage offers an in-depth look at GPU & accelerators—what they do, how they work, and where they add the most value.
Designed for a broad spectrum of industries and use cases, these solutions serve as key components in AI/ML, simulation, financial modeling, and visual rendering systems. As a B2B company with strong coverage across North America, Prodatabenchmark supports these needs with trusted, high-quality products and services. With deep expertise and partnerships across the technology sector, we ensure that our clients are equipped with the tools needed to push performance limits while maintaining reliability and scalability.
Leading Technologies From Proven Partners
In addition to offering products and systems developed by our team and trusted partners for GPU & Accelerators, we are proud to carry top-tier technologies from Global Advanced Operations Tek Inc. (GAO Tek Inc.) and Global Advanced Operations RFID Inc. (GAO RFID Inc.). These reliable, high-quality products and systems enhance our ability to deliver comprehensive technologies, integrations, and services you can trust. Where relevant, we have provided direct links to select products and systems from GAO Tek Inc. and GAO RFID Inc.
GPU & Accelerators: Design Using GAO Tek and GAO RFID Technologies
1. Hardware Components
GAOTek Embedded AI Computer with NVIDIA Jetson AGX Xavier
- Integrated 8-core ARM v8.2 CPU
- 512-core Volta GPU with Tensor Cores and dual NVDLA
- 32 GB LPDDR4 memory and 32 TOPS (trillions of operations per second) AI performance
- Multi-stream 4K/8K video encoding and decoding
- Ideal for real-time image processing, AI inferencing, and autonomous system development
GAOTek PCIe AI Computing Module with RK3588S Processor
- 8-core processor (4× Cortex-A76 + 4× Cortex-A55)
- Mali-G610 GPU with high-performance rendering capability
- Built-in NPU delivering up to 6 TOPS of AI acceleration
- NVMe SSD support, dual display, multi-channel I/O, and PCIe compatibility
- Perfect for adding GPU functionality to industrial PCs or edge gateways
GAOTek Rack-Mounted Edge AI Server with GPU Expansion Support
- Supports dual Intel Xeon Scalable CPUs
- Configurable with full-size GPU cards for AI training and inference
- Redundant power supply, hot-swappable bays, and high-speed storage support
- Reliable for enterprise-class processing at the edge or core data center environments
GAOTek Embedded Computer with Jetson Nano
- Entry-level GPU platform with 128-core Maxwell GPU
- 4 GB LPDDR4 memory
- Cost-effective solution for small-scale inference tasks or mobile AI applications
2. Software & System Capabilities
Operating System Support: All listed platforms support Linux (Ubuntu) for stable GPU driver installation and high-performance computing environments
AI Framework Compatibility: GPU-enabled systems are compatible with widely used machine learning and deep learning tools including TensorFlow, PyTorch, ONNX, and Caffe.
Video & Imaging Acceleration: Real-time support for 4K/8K video streaming, AI video analytics, and camera input processing
Edge Deployment Readiness: Ideal for containerized workloads using Docker or similar environments optimized for GPU inference at the edge
Edge Deployment Readiness: Ideal for containerized workloads using Docker or similar environments optimized for GPU inference at the edge
3. Industry Use Cases
Manufacturing: Detect product defects or quality issues using GPU-powered visual systems.
Healthcare: Enhance CT or MRI analysis with image acceleration and AI-assisted interpretation.
Transportation: Monitor traffic patterns and vehicle movements with edge-based video analytics.
Retail: Combine real-time shelf monitoring and RFID inventory tracking for operational efficiency.
Public Safety: Deploy smart surveillance systems for access control, crowd management, and behavior detection.
Key Features and Functionalities
Parallel Processing Power
Accelerates data-intensive tasks such as neural network training and massive simulations.
Advanced Architecture
Supports high memory bandwidth and multi-core operations for optimal throughput.
Thermal Management
Includes advanced cooling systems for sustained performance during long runtimes.
Expandable Performance
Supports scaling via multi-GPU configurations and PCIe expansions.
Custom Configuration
Available in a range of setups to fit workstations, edge devices, or industrial servers.
Low Latency
Ensures real-time responsiveness essential for edge AI, automation, and video processing.
Compatibility
- Compatible with Windows and Linux-based systems
- Integration-ready with cloud computing platforms and industrial controllers
- Supports major deep learning frameworks such as TensorFlow, PyTorch, and ONNX
- Flexible PCIe-based installation across industrial embedded PCs, workstations, and AI servers
- Designed to pair with GAOTek’s AI edge systems and high-performance industrial computers
Applications
- AI & Machine Learning Inference and Training
- Computer Vision and Industrial Automation
- Scientific and Financial Modeling
- Medical Imaging and Diagnostics
- Smart Cities and Intelligent Surveillance
- High-Speed Data Acquisition and Processing
- Industrial Robotics and Predictive Maintenance
Industries We Serve
Research and Education
Manufacturing and Automation
Healthcare and Life Sciences
Finance and Insurance
Energy and Utilities
Telecommunications
Aerospace and Defense
Transportation and Logistics
U.S. and Canadian Industry Standards and Regulations (Short List)
- NIST SP 800-171
- ISO/IEC 27001
- FCC Part 15
- CAN/CSA-C22.2 No. 60950-1
Case Studies
United States – Manufacturing Sector
A Texas-based industrial automation company leveraged GPU accelerators from Prodatabenchmark to enhance their robotics system for real-time quality inspection. By integrating with a GAOTek edge server, the company reduced inspection time by 30% and improved defect detection accuracy.
United States – Healthcare Sector
A healthcare imaging provider in California implemented our GPU-accelerated platform to process large CT and MRI scan datasets. The adoption of this technology decreased their rendering time from minutes to seconds, greatly enhancing diagnostic workflows.
Canada – Transportation Sector
A Canadian logistics provider used GPU-enabled edge devices to optimize fleet routing and traffic prediction. Partnering with Prodatabenchmark, they achieved a 22% improvement in delivery efficiency and enabled real-time vehicle monitoring powered by AI analytics.
Contact Us
Are you looking to upgrade your performance infrastructure with scalable GPU and accelerator solutions? Contact Prodatabenchmark for expert consultation, tailored solutions, and product support.
Contact us today to explore how we can power your operations forward