iMware

iMware is a comprehensive software platform for developing and optimizing AI applications on intellino NPUs.

iMware is an end-to-end software platform designed to help developers build, analyze, and deploy AI workloads efficiently on intellino NPU products. It streamlines the full development cycle—from early performance exploration to final deployment—by combining workload analysis, specification-aware performance evaluation, and a robust set of SDKs and libraries. imWare offers two editions to support users from first-time NPU development to advanced architecture design. 

• imWare Starter: Start building AI on NPU, simply and fast.
  
  

• imWare Architect: Analyze, optimize, and architect AI on NPU.

Workload and performance analysis tailored to intellino NPUs

When implementing AI applications on an intellino NPU, understanding how a model behaves under real system constraints is critical. iMware supports:

• Workload profiling and characterization to identify compute, memory, and bandwidth bottlenecks

• Performance analysis based on detailed product specifications, enabling realistic estimation and comparison across intellino NPU configurations

• Layer-by-layer and operator-level insights to pinpoint inefficiencies and guide optimization decisions

• Latency, throughput, and utilization analysis to support both real-time and batch inference scenarios

These capabilities help teams make faster architectural decisions and reduce iteration cycles during product development.

An integrated SDK for development and deployment

iMware provides a unified SDK that enables developers to move from models to deployable binaries with minimal friction. The SDK is designed to support:

• Model import and conversion from common AI frameworks

• Compilation and optimization aligned with intellino NPU execution characteristics

• Runtime APIs for application integration and system control

• Deployment workflows for embedded and edge environments

This integrated approach accelerates development while maintaining control over performance and resource usage.

Libraries that accelerate real-world applications

To shorten development time and improve portability, iMware includes optimized libraries commonly required in production AI systems, such as:

• Pre-/post-processing libraries for vision, audio, and sensor pipelines

• Operator and kernel libraries optimized for intellino NPU execution

• Utility libraries for memory management, scheduling, and profiling

These components allow developers to focus on application logic while relying on tuned building blocks for performance-critical paths.

Built for product development and engineering teams

iMware is designed not only for application deployment, but also for intellino NPU product development and validation, supporting:

• Early-stage feasibility analysis against target specifications

• Performance regression tracking across hardware and software revisions

• Repeatable benchmarking for product tuning and release readiness

Typical use cases

• Performance estimation and optimization for intellino NPU–based AI applications

• Workload-driven selection of intellino NPU product configurations

• Rapid development using SDKs and optimized libraries

• Embedded and edge deployment requiring deterministic performance and efficiency
  
  

In summary, iMware combines workload analysis, specification-aware performance evaluation, and a production-ready SDK and library stack to enable faster, more confident development of high-performance AI applications on intellino NPU platforms.