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INTERA Falcon Cognit Edge AI Accelerator IP

INTERA Group

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INTERA’s Falcon Cognit Edge AI Accelerator IP is a next-generation Edge AI hardware solution designed specifically for ultra-efficient AI inference (and training support) directly on edge devices. It forms the flagship product in INTERA’s Cognit AI Accelerator IP family.

Features • Monolithic Streaming Architecture – Dedicated AI processing engine designed for efficient, continuous neural network inference. • Matrix-Vector Acceleration (MxV) – Hardware-accelerated matrix-vector operations for embedded AI workloads. • Ultra-Low-Power AI Processing – Optimized for energy-efficient Edge AI and TinyML applications. • Single Processing Element Architecture – Compact accelerator architecture with one processing element (PE). • Configurable Numerical Precision – Supports implementations ranging from 2-bit to 32-bit precision. • Compact Silicon Footprint – Minimal hardware resource requirements for integration into embedded SoCs. • Low-Latency AI Inference – Acc...

INTERA’s Falcon Cognit Edge AI Accelerator IP is a next-generation Edge AI hardware solution designed specifically for ultra-efficient AI inference (and training support) directly on edge devices. It forms the flagship product in INTERA’s Cognit AI Accelerator IP family.

Features • Monolithic Streaming Architecture – Dedicated AI processing engine designed for efficient, continuous neural network inference. • Matrix-Vector Acceleration (MxV) – Hardware-accelerated matrix-vector operations for embedded AI workloads. • Ultra-Low-Power AI Processing – Optimized for energy-efficient Edge AI and TinyML applications. • Single Processing Element Architecture – Compact accelerator architecture with one processing element (PE). • Configurable Numerical Precision – Supports implementations ranging from 2-bit to 32-bit precision. • Compact Silicon Footprint – Minimal hardware resource requirements for integration into embedded SoCs. • Low-Latency AI Inference – Accelerates neural network operations to support real-time decision-making. • Always-On AI Processing – Supports continuous intelligent sensing and inference in low-power devices. • Efficient Streaming Dataflow – Optimizes data processing and reduces unnecessary memory transfers. • Memory-Mapped Integration – Designed for straightforward integration with embedded processing systems. • Optimized Performance per Watt – Balances computational performance and power consumption for energy-constrained applications. • Flexible Embedded AI Deployment – Suitable for integration into microcontrollers, edge processors and custom SoCs. • Local AI Execution – Enables on-device inference, supporting data privacy and technological sovereignty. • Cost-Effective AI Acceleration – Compact architecture designed to provide an attractive cost-to-performance ratio.

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Key Features

  • 1. Host Development Machine (SDK & Toolchain) The Falcon Cognit SDK is described as an open-source tool suite that integrates with popular ML frameworks (Keras, TensorFlow, etc.). • Primary / Recommended OS: Linux (most likely Ubuntu or other common distributions) o This is standard for FPGA development (Quartus, Vivado, etc.) and open-source AI toolchains. • Windows: Possibly supported via WSL2 or limited native support, but not the primary platform. • macOS: Unlikely for full FPGA flows. 2. Target / Embedded Side (Runtime) Since Falcon Cognit is an accelerator IP integrated into FPGAs, ASICs, or SoCs: • Bare-metal or RTOS (Real-Time Operating Systems) — very common for ultra-low-power edge use cases. • Embedded Linux — supported, especially on SoCs with a host processor. • The IP itself does not run a full OS; it acts as a hardware accelerator called from the main processor.
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Offering Brief

Offering Brief

Device Family Agilex® 3 FPGA C-Series, Agilex® 5 FPGA D-Series, Agilex® 5 FPGA E-Series, Agilex® 7 FPGA F-Series, Agilex® 7 FPGA I-Series, Agilex® 7 FPGA M-Series, Agilex® 9 FPGA Direct RF-Series, Arria® 10 GT FPGA, Arria® 10 GX FPGA, Arria® 10 SX FPGA, Arria® V GT FPGA, Arria® V GX FPGA, Cyclone® 10 GX FPGA, Cyclone® 10 LP FPGA, Cyclone® IV E FPGA, Cyclone® IV GX FPGA, Cyclone® V SE FPGA, Cyclone® V ST FPGA, Cyclone® V SX FPGA, Stratix® 10 AX FPGA, Stratix® 10 GX FPGA, Stratix® 10 SX FPGA, Stratix® 10 TX FPGA
Offering Status Production
Demo Yes
Evaluation License Yes
Design Examples Available Yes
Latest Quartus Version Supported 01.1.1
OS Support INTERA’s Falcon Cognit is an IP core (not a standalone board with its own OS), host/development machine and the target/embedded environment.
Development Language VHDL, Verilog, Encrypted VHDL, Encrypted Verilog, C/C++

INTERA's Falcon Cognit is an Edge AI Accelerator IP core from INTERA Group, designed primarily for low-power, battery-powered inference at the edge. What is Included / Key Components 1. Core Product: Falcon Cognit AI Acceleration IP • AI acceleration Intellectual Property (IP) core. • Optimized for ultra-low power (ULP) inference. • Supports common neural network types: FC, DNN, MLP, CNN, and LSTM. • Integrates into FPGA, ASIC, and SoC designs. 2. Hardware Support • Compatible with major FPGA vendors: AMD, Microchip, Altera (Intel), Lattice. • Available on FPGA Dev Boards and INTERA Dev Boards. • Can be used as a daughter board or integrated into custom SoC. 3. Software Suite (Comprehensive & Open-Source) • SDK (Software Development Kit) / Starter Development Kit. • Seamless interoperability with popular deep learning frameworks (Keras, TensorFlow, etc.). • Model Build Environment + Automated Profiling. • Runtime Environment + Firmware. • Demo applications and user guides. • Support for custom and user-provided models. 4. Key Features & Benefits • Battery-powered / Always-ON operation. • High power efficiency for edge devices. • Low latency real-time performance. • Data privacy (runs offline, no cloud needed). • Cost optimization (avoids cloud subscriptions). • Targeted at verticals like medical cognitive monitoring, healthcare, industrial IoT, energy, defense, etc. Offering Packages INTERA typically provides a Development Kit that includes: • The Falcon IP core • Sample models and applications • Development board(s) • Documentation (apps notes, user guide) • Tool suite / SDK

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