Snapshots into the Edge
Current Trends for Edge Computing
& How Premio’s Industrial Computing Solutions are Positioned
Why Download The EBook?
In an era marked by increasing connectivity, data-centricity, and the imperative for instantaneous decision-making, edge computing has risen as a crucial technology to address the requirements of the digital age. Leading the way are contemporary developments like Edge AI and Edge Computer Vision, spearheading a wave of innovative technologies that leverage machine intelligence and automation to unlock remarkable advantages in diverse applications. This ebook will briefly identify the latest market trends, technology advancements, and key driving factors for industrial edge computing.
Trends to Watch Now
Edge AI
Edge AI brings the power of AI to the edge, enabling real-time data processing, reduced latency, and enhanced security
Edge Computer Vision
Edge computer vision allows edge devices like industrial-grade computers to analyze visual data locally to provide immediate insights and action.
Key Predictions at the Edge
1. AI and Edge Computing
Synergy between AI and edge computing reshaping industries and paving way for new use cases from smart cities to autonomous vehicles
2. Edge AI and Critical Role of Semiconductors
Semiconductor design and heterogenous compute architecture enable real-time processing and AI capabilities for power-efficiency
3. Rise of OT/IT Convergence
The rise of digital transformation and industry 4.0 technologies are starting to bridge the gap between computing, networking, and data management (IT) with real-time monitoring sensors, and perception systems (OT).
4. Network Flexibility at the Edge
Wireless connectivity technologies like 5G, 4G, WiFi, and Ethernet enable benefits for lower latency and higher bandwidth for infrastructure trends in public/private edge cloud.
The User Edge: Performance Matrix
In the dynamic realm of Edge Computing, semiconductors are pivotal in revolutionizing data processing. Emphasizing energy efficiency, real-time processing, and AI capabilities, semiconductor vendors lead the way in this transformative journey.
Premio Product Mix Benefits:
- Industrial-grade computing solutions engineered for edge-native processing to meet a variety of workload demands from power-efficiency to high performance.
- Product segmentation to address key computing demands for lite, mid, and high-performance requirements away from the cloud and closer to IoT sensors
- Hardware focus on ruggedization and embedded longevity for ultimate reliability and durability
Constrained Edge
End User Edge
USER EDGE
Distributed Edge
Data Center Edge Cloud
SERVICE EDGE / CLOUD
High-Performance
Power Efficient
Fan Cooled
Rugged
Specialized Hardware for Edge AI
Edge Computing operates in a unique model characterized by constrained resources, environmental challenges, stringent power limitations, and the demand for real-time processing. Industrial edge computers leverage specialized hardware acceleration technologies to empower AI workloads efficiently.
- Deploy confidently into harsh factory/outdoor environments for 24/7 operations
- Each component are domain-specific architectures with the similar objectives to address specific edge AI demands
| Performance Accelerator: | Benefits: |
| Graphics Processing Unit (GPU): | Parallel Processing, significant # of cores compared to CPU |
| Tensor Processing Unit (TPU): | Power efficient, SFF AI-specific accelerators |
| Neural Processing Unit (NPU): | New & upcoming, integrating AI processing capabilities onto CPU |
| Network Interface Card (Smart NIC): | Implements AI into I/O for optimized data to be processed by CPU |
Key Technologies for Rugged Edge AI
Rugged edge computers are built with enhanced durability and ruggedized features that are specifically engineered to withstand volatile environments to perform mission-critical workloads without failing. Premio’s industrial grade designs bring key technologies together with scalable and modular solutions to provide enhanced reliability and expandability that help enable rugged edge AI.
Why It matters?
Edge AI
AI forms the foundation of rugged edge AI, allowing edge devices to analyze vast amounts of data in real-time and make intelligent, autonomous decisions. Combined with performance accelerators, AI algorithms can use inference to tackle complex tasks in predictive analytics and data processing, making it invaluable in rugged edge AI deployments.
Premio Products Benefits:
- Real-time inference options in CPU, GPU, and domain-specific modules
- EDGEBoost Nodes technology for PCIe GPU
- EDGEBoost I/O Module technology for M.2 acceleration
Why It matters?
Cloud Storage
Dense storage capacity allows for data storage, collection, and ease of transfer to the cloud. By leveraging cloud storage, edge devices can offload processing tasks, optimize storage capacity, and facilitate collaboration and integration with other systems
Premio Products Benefits:
- Flexible storage options in SATA and NVMe
- EDGEBoost Nodes with compatible EDGEBoost Databrick Cannisters
- Hot-swappable, high-capacity drives for data redundancy and secure storage
Why It matters?
5G Wireless Connectivity
5G connectivity delivers high-speed wireless communication to reduce latency and bandwidth for data telemetry. 5G enables real-time transfer between the edge and the cloud and empowers applications where immediate responses and data transmission are critical.
Premio Products Benefits:
- Dual SIM network EDGEBoost I/O 5G Module
- PTCRB Certified modules
Why It matters?
IoT (Internet Of Things)
Rich I/O interfaces with plug and play modularity for robust and reliable IoT sensor connectivity. Enabling the interconnectivity and communication between devices and systems, IoT devices gather and share data, allowing rugged edge AI to monitor, control, and optimize operations.
Premio Products Benefits:
- EDGEBoost Brackets offering modular, scalable, and configurable solution
- Plug and play EDGEBoost I/O modules for maximum I/O flexibility