Industrial Touch Panel PCs and Monitors
IP Rated Touchscreen Computers For HMI Integration
IP Rated Touchscreen Computers For HMI Integration
High-performance edge computers are accelerating the shifting trends of generative AI and LLM workloads from centralized cloud infrastructure to local, on-premises environments. This decentralization of processing resources enables real-time insights, localized decision-making, and secure control over mission-critical data.
At the On-Prem Data Center Edge, filtered sensor data undergoes additional processing and acceleration before cloud transmission. Unlike embedded smart devices, these solutions are deployed in on-site micro data centers. This final edge layer enables local data processing for better infrastructure control, real-time analytics, and protection of mission-critical data from cloud exposure.
Deploy on-prem LLM and generative AI workloads for real-time inferencing and decision-making capabilities.
The Smart Device Edge consists of embedded industrial computers designed to process sensor data closer to its source, enabling real-time edge AI analytics and decision-making. This layer is segmented into three categories—Industrial, Rugged, and Specialized—each optimized for distinct environmental conditions.
By 2029, at least 60% of edge computing deployments will use composite AI (both predictive and generative AI [GenAI]), compared to less than 5% in 2023.
Gartner
Industries are rethinking infrastructure strategies to support real-time, localized inferencing with Generative AI and Edge AI. These trends are rapidly shifting from R&D initiatives to real-world implementation onto factory and warehouse floors.
Premio's edge computing platforms provide the computational backbone that transforms generative AI from a cloud-dependent capability into a distributed, real-time asset for Industry 4.0.
Enterprises are integrating generative AI and LLMs solutions onto factory floors to optimize data processing and reduce cloud dependency. When deployed at the edge, these models can operate locally and offline without requiring constant connectivity.
Real-Time Performance
Minimize latency associated with cloud computing and enable real-time inferencing for mission-critical AI applications.
Bandwidth Optimization
Transmitting high-volume, unfiltered sensor data to the cloud is both bandwidth-intensive and cost-prohibitive.
Infrastructure Customization
On-prem LLM deployments adapt and are continually fine-tuned to meet the demands of its unique environment.
Data Sovereignty and Privacy
Processing and storing data locally allow enterprises to maintain control over sensitive information, ensure compliance with data privacy regulations, and minimize cloud exposure.
Streamline demanding multimodal LLM workloads directly on-premises with powerful AI accelerators. Gain real-time performance in private or offline infrastructures.
Deliver immediate data aggregation and local access with high-speed NVMe and high-capacity SATA SSDs.
Precisely scale and tailor deployment high-connectivity and performance requirements with modular EDGEBoost technologies.
Engineered to deploy in harsh industrial deployments by withstanding fluctuating power, extreme temperatures, and constant shock/vibration for uninterrupted 24/7 operations.
Unlock ultra-low latency communications and device-to-device intelligence capabilities with integrated, industrial-grade 5G connectivity (Wi-Fi 6, LTE, private 5G).
With 30+ years of embedded manufacturing, Premio emphasizes its specialty in highly reliable and rugged edge computing hardware for Industry 4.0 deployment applications. Our dedicated teams ensure Premio provides swift time-to-market solutions with our global turnkey manufacturing and support infrastructure for scalable deployment.
