Meet Premio at NVIDIA GTC 2025

Join Premio as they showcase their cutting-edge architectures that bring AI processing power to the edge, enabling real-time insights and decision-making in industries such as manufacturing, automation, logistics, and smart cities.

Join us as we:

• Showcase our solutions: Demonstrate how Premio’s industrial computing solutions empower edge AI applications with robust and scalable architectures.
• Engage with leaders in edge AI: Connect with innovators, developers, and decision-makers driving the future of AI.
• Strengthen our partnership: As an NVIDIA Preferred Partner, Premio is committed to delivering validated solutions that integrate NVIDIA’s powerful GPUs and Jetson modules.

AI Trends: Bringing Intelligence to the Edge

As industries embrace digital transformation, artificial intelligence is becoming an essential catalyst of innovation, enabling systems to process vast amounts of data and make decisions in real time. At the forefront of this evolution is the shift toward edge AI, which places AI processing closer to where data is generated.

Generative AI, agentic AI, and physical AI – all groundbreaking advancements within the realm highlight the vast growth and reinforces how critical robust computing hardware is needed at the edge.

The Role of AI PCs in Edge Computing

GTC is a pivotal event for Premio, as it highlights the convergence of AI advancements and edge computing—two critical areas where AI PCs are driving innovation. As AI powered workload becomes more demanding, AI PCs serve as the backbone for scalable, high-performance computing at the edge. These PCs are designed to meet both the high performance demands while tackling the harsh environmental settings that these AI workloads are deployed in.

How NVIDIA Jetson enhances Edge AI computing

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:

• Compact form factor
• Low Power Consumption
• High compute performance for AI & ML tasks

How Industrial GPU Computers Streamline Edge AI Workloads

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:

• Parallel Processing Architecture
• Tensor Cores
• CUDA (Compute Unified Device Architecture)

EDGEBoost Technology

Modular and ruggedized to deliver accelerated computing performance. EDGEBoost Node technology enables powerful real-time processing and high-speed storage performance that is purpose built for resource intensive AI workloads.

Remote Out of Band Management Technology

Ensure maximum uptime for edge AI deployments with remote out of band technology. OOB solutions provide secure, always-on access for monitoring, troubleshooting, and maintenance remotely.