Overview
Evaluate and develop industry-focused edge AI use cases faster with curated, pre-validated, open-source software collections of reference applications, pipelines, benchmarks, AI models, and acceleration libraries.
Edge AI Suites
Streamline complexity and adapt AI at the edge faster with software collections tailored for unique industry use cases.
Health and Life Science AI Suite
Build, evaluate, and validate multimodal AI-powered patient monitoring workloads at the edge.
Robotics AI Suite
Advance physical AI for humanoids, AMRs, and industrial robots with enhanced perception, navigation, locomotion, and imitation learning.
Retail AI Suite
Extend self-checkout, order accuracy, and loss prevention capabilities with advanced vision powered object detection, classification, and anomaly detection and agentic AI.
Metro AI Suite
Enable smart cities with vision AI safety, security, transportation, and government use cases powered by advanced spatial intelligence, object detection, and real-time video analytics.
Manufacturing AI Suite
Add powerful predictive maintenance, anomaly detection, and worker safety capabilities fed with integrated sensor and camera data to improve quality, yield and throughput.
What’s Inside
Tap into the essential ingredients for accelerating and optimizing enterprise-ready Edge AI applications for innovating and achieving faster time-to-value.
AI Acceleration and Real-time Control
Adapt industry-ready AI-powered use cases at the edge with AI acceleration and real-time controls on a single processor with integrated CPU, NPU, and built-in GPU to deliver streaming media acceleration, AI inference, and efficient processing.
Flexible Power Options
Scale performance and achieve efficiency where it matters most with rugged, long-lasting, low-power computing options for consistent, predictable results across industrial edge environments.
Enterprise-ready Edge AI
Leverage Intel’s expertise and legacy in enterprise-grade edge computing to bring capable and deterministic performance with backwards compatibility and long-lasting quality.
Secure, Heterogeneous Computing
Optimize computing tasks efficiently, with NPU to optimize vision and media acceleration, built-in GPU for LLM processing, and CPU for enabling concurrent multimodal pipelines. Wide-ranging power options and form factors deliver flexibility for distributed edge deployments.
Open Edge Approach
Evaluate, optimize and deploy Agentic AI, Vision AI, and media analytics at the edge with a lightweight framework of industry-specific reference applications, pipelines, microservices, and tools optimized for performance on Intel silicon and supported by a broad ecosystem.
Innovate faster with an Open Ecosystem
Configure AI systems supported by a broad ecosystem of hardware and software partners built on best-known configurations, verified and qualified by Intel for fast media analytics processing and AI acceleration at the edge.
Evaluate and Adapt AI Faster
Prove out industry-specific AI use cases faster and reduce learning curves with modular, open-source building blocks and highly configurable, developer-first APIs, tools, microservices, and pipelines for vision AI, physical AI, and Gen AI with RAG pipelines optimized on Intel hardware.
Flexible deployment options
Rapidly deploy and scale AI applications across distributed edge-to-edge and edge-to-cloud deployments with low-touch, secure, enterprise-grade controls.
Integrated AI Acceleration
Intel offers a wide range of performance options for Edge AI at an affordable TCO. Real-time control and fine-tuning capabilities enhance performance for industry edge deployments with lightweight immutable container hosts, and flexible compatibility optimized across x86 architectures.
Optimized Performance
With single-threaded, and multi-threaded processor cores Intel CPUs deliver higher performance and sufficient TOPS to power both control and AI inference with powerful system-on-chip designs optimized for integrated performance across CPU, iGPU, and NPU to power Vision AI, Gen AI, and multimodal analytics pipelines enabling the right compute for software-defined and closed-loop AI applications.
Simplified Design
Boost system performance to perform parallel processing efficiently across edge environments. Train AI models and perform inferencing tasks faster without requiring a discrete GPU across a flexible integrated family of Edge-based processors.
Enhanced TCO
Achieve sufficient AI acceleration and ensure cost-effective interoperability with low-power, low-cost to high performance options that provide concurrent AI processing alongside traditional compute and media workloads, with higher performance per dollar.
Proven Edge Compute
Incorporate AI and optimize applications for low latency and low power with proven, hardware-aware, enterprise-grade compute to run real-world AI workloads, with repeatable baseline performance to ensure optimal outcomes.
Predictable AI Performance
Onboard AI with confidence using published benchmarks for 900+ AI models optimized on Intel® hardware. Reproduce results using Jupyter Notebooks to achieve optimal results.
Fit for Industry Use
Evaluate AI Systems and Intel hardware running real-world AI use cases for industry-specific applications to understand CPU, built-in GPU, and NPU performance with Intel’s Visual Pipeline and Platform Evaluation Tool.
Finely tunable hardware
Optimize performance in real-world closed loop automated environments or edge-to-cloud deployments with built-in telemetry to monitor KPIs and optimize for efficiency and scale.
AI Solutions
Build, evaluate, and deploy edge-native AI applications with robust, industry-ready, open-source building blocks to enable computer vision, multimedia, automation, and AI use cases optimized on Intel processors.
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