Unlock the power of AI at the edge with Lattice sensAI Studio—a streamlined, user-friendly development environment designed for deploying machine learning models effortlessly onto Lattice Semiconductor's low-power FPGA platforms.
Key Features
- Easy-to-use Toolset: Empower developers, even those new to FPGA design, to quickly build, optimize, and deploy AI solutions.
- Framework Compatibility: Seamlessly integrate your existing workflows using popular machine learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, Keras, and ONNX.
- Optimized for Efficiency: Achieve superior performance with built-in model optimization techniques such as pruning, quantization, and compression.
- Neural Network Compiler: Efficiently compile neural network models directly for FPGA hardware, ensuring optimal performance and low latency.
- Power-efficient FPGA Deployment: Tailored specifically for low-power FPGA families (iCE40 UltraPlus, CrossLink-NX, Certus-NX, and Avant), ideal for energy-sensitive edge applications.
- Ready-to-Use Reference Designs: Accelerate your development cycle with pre-built and tested reference designs that span diverse use cases.
- Production-Ready Models for HMI Applications: Utilize pre-optimized, production-grade AI models specifically tailored for human-machine interface (HMI) solutions.
Simplified End-to-End Workflow Lattice sensAI Studio covers the complete AI deployment journey:
- Model Selection or Creation: Choose or design and train your neural network model using your preferred framework.
- Optimization: Automatically optimize your AI models for maximum efficiency and minimum power consumption.
- Quantization: Convert models to lower precision formats, improving efficiency and reducing resource usage.
- FPGA Compilation: Easily compile and generate FPGA bitstreams directly within the studio.
- Deployment: Deploy your optimized AI solution swiftly onto your edge FPGA devices.