Edge AI • High-Performance Computing
Edge AIInfrastructure
Deploy high-performance AI inference at the network edge with specialized hardware and optimized models for real-time processing
< 1ms
Inference Speed
Real-time processing capability
90%
Model Compression
Size reduction vs cloud models
10x
Power Efficiency
Better than traditional computing
95%
Bandwidth Reduction
Less data transmission needed
Edge AI Hardware Portfolio
Specialized hardware platforms optimized for edge AI inference and training
NVIDIA Jetson Series
Jetson AGX Orin
275 TOPS
Autonomous Machines
AI Performance:275 TOPS
Power Consumption:15-60W
Primary Use Case:Autonomous Machines
Jetson Orin NX
100 TOPS
Industrial IoT
AI Performance:100 TOPS
Power Consumption:10-25W
Primary Use Case:Industrial IoT
Jetson Orin Nano
40 TOPS
Smart Cameras
AI Performance:40 TOPS
Power Consumption:5-15W
Primary Use Case:Smart Cameras
Intel Edge Processors
Movidius VPU
4 TOPS
Vision Processing
AI Performance:4 TOPS
Power Consumption:1-2W
Primary Use Case:Vision Processing
OpenVINO Toolkit
Variable
Inference Optimization
AI Performance:Variable
Power Consumption:5-50W
Primary Use Case:Inference Optimization
Edge AI Deployment Models
Choose the optimal deployment strategy for your edge AI requirements
Edge-First Architecture
AI processing starts at the edge with cloud backup
< 1ms
Typical Latency
Key Benefits:
- Ultra-low latency
- Reduced bandwidth
- Privacy protection
Hybrid Edge-Cloud
Intelligent workload distribution between edge and cloud
1-10ms
Typical Latency
Key Benefits:
- Flexible scaling
- Cost optimization
- Fallback reliability
Federated Edge Learning
Distributed learning across multiple edge devices
Variable
Typical Latency
Key Benefits:
- Privacy-preserving ML
- Collective intelligence
- No data centralization
Technical Implementation Examples
Real-world edge AI deployments with technical specifications
Smart Factory Vision
Hardware:
NVIDIA Jetson AGX Orin
Performance:
275 TOPS AI
Inference Time:
< 5ms per frame
Camera Input:
8x 4K cameras
Real-time quality inspection with 99.9% accuracy on production lines
Autonomous Vehicle Perception
Hardware:
NVIDIA Drive AGX
Performance:
1000+ TOPS
Processing:
360° perception
Latency:
< 10ms decision time
Multi-sensor fusion for safe autonomous navigation
Ready to See the Difference?
Let AIdeology help you implement edge AI solutions that transform how you process and understand your data in real-time.