Industrial Touch Panel PCs and Monitors
IP Rated Touchscreen Computers For HMI Integration
IP Rated Touchscreen Computers For HMI Integration
Deploy edge AI technologies on-premises with purpose-built industrial GPU computers. Premio’s x86 and ARM systems, powered by NVIDIA GPUs and Jetson module accelerators, deliver real-time AI inferencing to mission-critical machine vision applications.
Premio’s portfolio of industrial GPU computers is purpose-built to handle a wide range of edge AI workloads. From low-power inferencing to high-throughput training and multimodal processing, our solutions scale across rugged edge deployments, controlled industrial environments, and compact on-prem data centers.
NVIDIA RTX PRO 6000
Architecture: Blackwell | GPU Memory: 96GB GDDR7 ECC | TDP: 600W
The RTX PRO 6000 Blackwell Workstation Edition is a 96 GB GDDR7 powerhouse GPU built on NVIDIA’s latest Blackwell architecture, designed to crush advanced AI, 3D, and visualization workloads from a desktop workstation.
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NVIDIA RTX PRO 6000
Architecture: Blackwell | GPU Memory: 96GB GDDR7 ECC | TDP: 300W
The RTX PRO 6000 Blackwell Workstation Edition is a 96 GB GDDR7 powerhouse GPU built on NVIDIA’s latest Blackwell architecture, designed to crush advanced AI, 3D, and visualization workloads from a desktop workstation.
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NVIDIA RTX PRO 5000
Architecture: Blackwell | GPU Memory: 72GB GDDR7 ECC | TDP: 300W
The RTX PRO 5000 delivers peak AI inferencing performance for edge deployments requiring local LLM execution, advanced vision analytics, and large-scale generative AI. Ideal for on-premise AI servers in rugged environments.
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NVIDIA RTX PRO 5000
Architecture: Blackwell | GPU Memory: 48GB GDDR7 ECC | TDP: 200W
The RTX The RTX PRO 5000 delivers peak AI inferencing performance for edge deployments requiring local LLM execution, advanced vision analytics, and large-scale generative AI. Ideal for on-premise AI servers in rugged environments.
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NVIDIA RTX PRO 4500
Architecture: Blackwell | GPU Memory: 32GB GDDR7 ECC | TDP: 200W
Built for demanding workloads in generative design, robotics, and industrial automation, the RTX PRO 4500 balances high AI throughput with energy efficiency to support complex edge inferencing workflows
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NVIDIA RTX PRO 4000
Architecture: Blackwell | GPU Memory: 24GB GDDR7 ECC | TDP: 140W
This single-slot RTX PRO 4000 offers excellent AI performance in compact industrial systems, perfect for multi-modal inferencing, digital twin rendering, and advanced machine vision in space-constrained edge environments.
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NVIDIA RTX PRO 4000 SFF
Architecture: Blackwell | GPU Memory: 24GB GDDR7 ECC | TDP: 70W
Optimized for small form factor systems, the RTX PRO 4000 SFF packs serious AI performance into a low-power, compact GPU. Ideal for vision-based inferencing and real-time edge analytics in space-limited deployments.
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NVIDIA RTX PRO 2000
Architecture: Blackwell | GPU Memory: 16GB GDDR7 ECC | TDP: 70W
Designed for energy-efficient edge AI computing, the RTX 2000 PRO delivers solid inferencing capabilities while maintaining a compact footprint. A versatile fit for smart manufacturing and industrial robotics.
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NVIDIA RTX 5000 ADA
Architecture: Ada Lovelace | GPU Memory: 32GB GDDR6 ECC | TDP: 250W
The RTX 5000 Ada delivers peak AI inferencing performance for edge deployments requiring local LLM execution, advanced vision analytics, and large-scale generative AI. Ideal for on-premise AI servers in rugged environments. Learn More ...
NVIDIA RTX 4500 ADA
Architecture: Ada Lovelace | GPU Memory: 24GB GDDR6 ECC | TDP: 210W
Built for demanding workloads in generative design, robotics, and industrial automation, the RTX 4500 Ada balances high AI throughput with energy efficiency to support complex edge inferencing workflows.
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NVIDIA RTX 4000 ADA
Architecture: Ada Lovelace | GPU Memory: 20GB GDDR6 ECC | TDP: 130W
This single-slot RTX 4000 Ada offers excellent AI performance in compact industrial systems, perfect for multi-modal inferencing, digital twin rendering, and advanced machine vision in space-constrained edge environments.
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NVIDIA RTX A4000
Architecture: Ampere | GPU Memory: 16GB GDDR6 ECC | TDP: 140W
A trusted solution for mainstream edge inferencing and visual AI tasks. The RTX A4000 is built to support deep learning and ray tracing workloads in professional-grade, industrial edge computers.
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NVIDIA RTX 4000 ADA SFF
Architecture: Ada Lovelace | GPU Memory: 20GB GDDR6 ECC | TDP: 70W
Optimized for small form factor systems, the RTX 4000 SFF packs serious AI performance into a low-power, compact GPU. Ideal for vision-based inferencing and real-time edge analytics in space-limited deployments.
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NVIDIA RTX 2000 ADA
Architecture: Ada Lovelace | GPU Memory: 16GB GDDR6 ECC | TDP: 70W
Designed for energy-efficient edge AI computing, the RTX 2000 Ada delivers solid inferencing capabilities while maintaining a compact footprint. A versatile fit for smart manufacturing and industrial robotics.
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NVIDIA RTX A2000
Architecture: Ampere | GPU Memory: 6GB or 12GB GDDR6 ECC | TDP: 70W
A low-profile GPU built for edge systems that require AI acceleration without excessive power consumption. The RTX A2000 is ideal for visual inspection, predictive maintenance, and embedded AI at the edge.
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NVIDIA RTX A1000
Architecture: Ampere | GPU Memory: 8GB GDDR6 ECC | TDP: 50W
Designed for entry-level AI applications, the RTX A1000 enables real-time ray AI inference in a space-efficient form factor. Ideal for lite edge AI workloads such as object detection or tracking.
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Jetson AGX Orin Series
AI Performance: Up to 275 TOPS | Memory Options: 64GB, 32GB | TDP: 15-60W
Jetson AGX Orin delivers unmatched AI performance in edge deployments where real-time inferencing and multitasking are critical. With up to 275 TOPS and advanced energy configurability, it's ideal for robotics, autonomous systems, and industrial AI servers operating in harsh conditions. Learn More ...
Jetson AGX Thor Series
AI Performance: Up to 2070 FP4 TFLOPS | Memory Options: 128 GB | TDP: 40-130W
The NVIDIA Jetson Thor is a high-performance computer designed for humanoid robotics. Powered by the Blackwell architecture, it delivers up to 2070 TFLOPS of FP4 AI compute to run massive generative AI models locally and process real-time multi-sensor fusion. Learn More ...
Jetson Orin NX Series
AI Performance: Up to 157 TOPS | Memory Options: 16GB, 8G | TDP: 7-25W
Jetson Orin NX strikes the perfect balance between performance and size. Its small form factor and efficient power profile make it a powerful choice for embedded edge applications like smart cameras, autonomous machines, and sensor fusion workloads. Learn More ...
Jetson Orin Nano Series
AI Performance: Up to 67 TOPS | Memory Options: 8GB, 4GB | TDP: 7-40W
Jetson Orin Nano brings entry-level AI inferencing to ultra-compact systems. Despite its size, it packs significant AI capability, making it an ideal fit for vision AI, anomaly detection, and low-power industrial use cases at the edge.
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| Edge Continuum Position | Processor | AI Accelerator | System Cooling | Operating Temp. | |
|---|---|---|---|---|---|
On-Prem Data Center Edge |
On-Prem Data Center Edge | 13th Gen Intel® Core™ E Processor (65W TDP) | - FHFL, Dual-slot GPU - PCIe Gen 4 |
Active | 0°C to 35°C |
VCO-6000-RPL Machine Vision Computer |
Specialized Edge | Intel® Core™ Processors 12th/13th Gen (ADL/RPL) and Series 2 (BTL) (35W/45W TDP) | - 2x FHFL, Dual-slot GPUs - PCIe Gen 4 |
Active | -25°C to 70°C |
KCO-3000-RPL 3U Industrial Fanned Computer |
Specialized Edge | 13th Gen Intel® Core™ E Processor (65W TDP) | - 2x FHFL, Dual-slot GPUs - PCIe Gen 5 |
Active | 0°C to 60°C |
RCO-6000-RPL AI Edge Inference Computer |
Rugged Edge | 13th Gen Intel® Core™ TE Processor (35W TDP) | - LP, Dual-slot GPU - PCIe Gen 4 |
Active | -25°C to 70°C |
BCO-6000-RPL High Performance Industrial Computer |
Industrial Edge | 13th Gen Intel® Core™ TE Processor (35W TDP) | - LP, Dual-slot GPU - PCIe Gen 4 |
Active | 0°C to 50°C |
KCO-2000-RPL 2U Industrial Fanned Computer |
Specialized Edge | 13th Gen Intel® Core™ E Processor (65W TDP) | - LP, Dual-slot GPU - PCIe Gen 5 |
Active | 0°C to 60°C |
JCO-6000-ORN High-Performance AI Edge Computer |
Rugged Edge | NVIDIA® Jetson AGX Orin™ 32/64GB | - | Passive | -20°C to 55°C |
JCO-3000-ORN Mid-Range AI Edge Computer |
Rugged Edge | NVIDIA® Jetson Orin™ NX 8GB/16GB or Nano 4GB/8GB | - | Passive | -20°C to 60°C |
Entry-level AI Edge Computer |
Rugged Edge | NVIDIA® Jetson Orin™ Nano 4GB/8GB | - | Passive | -25°C to 60°C |
Supports JCO Series
Supports VCO-6000-RPL
Supports LLM-1U-RPL
Supports KCO-3000-RPL
Supports RCO-6000-RPL, KCO-2000-RPL
Supports BCO-6000-RPL
Download Our Solution Guide For Embedded Computer and Industrial Touch Display Solutions.
Premio is part of NVIDIA Partner Network that provides in-depth knowledge into the latest technologies powering machine learning and artificial intelligence. Our rugged edge computing solutions are validated to support enterprise performance acceleration cards (GPUs) from NVIDIA's portfolio of compute, virtualization, and visualization products.
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Premio is part of PNY's Pro Partner network of distribution that provides access to NVIDIA's Professional GPUs. PNY is a global technology leader within the OEM, consumer and channel electronics markets. Established in 1985, PNY celebrates its 30th year of business excellence serving consumers, system integrators, OEMs, and B2Bs.
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Intel® Partner Alliance (IPA) is a program offered by Intel Corporation that provides various benefits and resources to its partners. The program is designed to foster collaboration, support, and growth for businesses that work with Intel products and technologies.
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Industrial GPU Computers can accelerate edge AI and machine learning workloads with the help of the parallel processing power, CUDA, and tensor cores of GPUs. These features allow for multiple tasks to be operated simultaneously and with mixed precision, which means that calculations are dynamically adapted to accelerate throughput while preserving accuracy.
Key Technologies:
Industrial GPU computers enable generative AI in Industry 4.0 by delivering real-time performance for applications like predictive maintenance, visual inspection, and autonomous operations. With powerful on-device processing, these systems bring AI inference directly to industrial environments where speed, resilience, and accuracy are critical.
NVIDIA Jetson modules are a family of embedded computing platforms designed to bring accelerated AI computing to edge devices. These modules are compact, energy-efficient, and equipped with powerful GPUs designed specifically for running AI and machine learning workloads.
Key Benefits:
In rugged edge computing applications, choosing between ARM and x86 architectures depends on the specific requirements of the application. Learn the in-depth differences between the architectures and its key advantages that they provide in edge computing deployments.
The difference between a GPU and CPU are their computing architecture and task specializations. CPUs are responsible for sequential processing, meaning that it utilizes a smaller number of cores for managing tasks and intensive single-thread applications. GPUs, however, have significantly more cores and leverage parallel processing for simultaneously processing multiple tasks. CPUs are responsible for running the operating system and managing applications while GPUs process machine learning workloads and rendering graphics.
The key differences between Nvidia’s professional and consumer GPUs are: workload optimization, memory configuration, and power-to-performance balancing. Professional Nvidia GPUs, such as Quadro, are catered towards processing AI workloads with relatively lower TDP, while consumer Nvidia GPUs, like RTX, are focused on general-purpose processing and can have much higher TDP.
Learn more about edge-focused GPUs in our comprehensive GPU guide for industrial computers ...
Industrial GPU computers work with edge AI by providing the necessary components to enable and process complex workload applications.
First, these computers are purpose-built to withstand the rigorous conditions and environments at the edge. Factory floors and outdoor environments are generally not suitable for consumer desktops as they will eventually fail. Premio’s industrial GPU computers are UL certified, meaning they have undergone thorough testing and validation to ensure safety standard compliance, and select computers have compliance with MIL-STD-810H for shock and vibration.
Secondly, Industrial GPU computers utilize a heterogeneous computing approach to leverage optimized performance through a mixture of specific components, like the CPU and GPU. GPUs are efficient and effective at parallel processing, while the CPU’s strengths are in sequential processing.
Third is IoT connectivity. There are multiple IoT devices in the form of cameras, sensors, and such that need to connect to a centralized computer to process all the incoming data. Industrial GPU computers provide compatible I/O to connect and even power IoT devices.
By balancing both rugged reliability, processing power, and IoT connectivity, industrial GPU computers help drive complex edge AI workloads at the rugged edge.
Learn more about how industrial GPU computers enable Edge AI here ...
Yes, industrial GPU computers are part of machine vision systems that are implemented into industrial machinery to deliver the needed processing power and I/O connectivity to enable machine vision applications.
A rugged GPU computer is a high-performance computing system engineered to withstand harsh environmental conditions such as extreme temperatures, shock, vibration, and dust/debris. It integrates powerful GPU acceleration for parallel processing tasks like AI inference, image recognition, and real-time analytics. Rugged GPU computers are commonly deployed in industrial automation, defense, and transportation applications where reliability and performance at the edge are critical.
An AI edge computer processes artificial intelligence workloads directly at the edge of the network, eliminating the need to send data back to the cloud. This approach significantly reduces latency, enhances data privacy, and enables real-time decision-making. AI edge computers are ideal for time-sensitive applications such as robotics, smart manufacturing, and predictive maintenance across industrial environments.
A fanless GPU computer offers silent operation, improved system reliability, and reduced maintenance by eliminating moving parts that can fail over time. Designed with passive cooling and industrial-grade components, these systems are optimal for dusty or vibration-prone environments. Fanless GPU computers are widely used in edge AI deployments, where durability and thermal efficiency are essential.
An industrial AI computer is purpose-built to perform artificial intelligence tasks within manufacturing plants, warehouses, or remote field locations. It combines ruggedized construction with AI acceleration capabilities such as GPUs to execute tasks like defect detection, quality inspection, and machine vision. These systems support wide temperature ranges, high shock resistance, and I/O flexibility for seamless integration with industrial protocols.
A GPU edge computing device brings high-performance GPU acceleration closer to the data source, enabling real-time analysis and AI inference. These devices are essential in environments that demand low-latency processing, such as autonomous vehicles, industrial automation, and surveillance. By processing data locally, GPU edge computing devices reduce network bandwidth usage and enhance operational efficiency.
A machine vision computer is designed to process and analyze visual data from cameras and sensors for industrial automation tasks. It typically includes GPU acceleration, high-speed I/O ports (such as PoE, USB 3.2, and Gigabit LAN), and real-time processing capabilities. Machine vision computers are essential in applications like object tracking, barcode scanning, quality inspection, and robotic guidance systems.
A rugged AI computer is engineered for deployment in mission-critical and physically demanding environments. Unlike standard AI systems, rugged AI computers feature industrial-grade components, wide temperature support, shock and vibration resistance, and sealed enclosures to protect against dust and moisture. They are ideal for edge AI workloads in industries such as defense, mining, transportation, and outdoor surveillance.
