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Meet the aiWare emulator: bit-accurate and faster-than-real-time, a combination no other NPU emulator can match. It supercharges AI-enabled ADAS CI/CD pipelines, making them faster, simpler, and more efficient than ever.
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Scales from cost-sensitive L2/regulatory applications to multi-sensor L3+ systems
The aiWare hardware has achieved ISO 26262 ASIL B certification. To download the safety certificate, click here
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Implemented in products like Nextchip’s APACHE series and Socionext’s chiplets, backed by a growing ecosystem of active aiWare users.
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Hardware determinism helps with certification for production safety environments; also enables offline high-accuracy performance estimation within 5% of final silicon months before chips available
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Designed for ease of layout, simple software interfacing, and advanced tools for system integration and validation
High efficiency and patented dataflow ensure 2x to 5x higher performance for the same claimed TOPS for a wide range of workloads, minimizing system power consumption. Up to 2GHz operation in 5nm over full AEC-Q100 Grade 2 operation.
aiWare Studio tools are widely acclaimed by OEMs and Tier1s, thanks to a unique approach focused on optimization of NNs by AI engineers. No need for low-level software engineers hand-optimizing NPU code – that’s all done by our advanced offline compiler.
Designed from the ground up to be integrated into ASIL-B and higher certified solutions covering a broad range of automotive use cases. From ultra-small edge sensor enhancement up to high-performance central processors, aiWare is the ideal solution for L2 to L4 automotive applications with the most demanding performance requirements.
The aiWare hardware IP Core delivers high performance at low power, thanks to its class-leading high efficiency and highly optimized hardware architecture. With up to 256 Effective TOPS per core (not just claimed TOPS), aiWare is highly scalable, so can be used in applications requiring anything from 1-2 TOPS up to 1024 TOPS using multi-core. Thanks to a design focused on optimizing every data transfer every clock cycle, aiWare makes full use of highly distributed on-chip local memory plus dense on-chip RAM to keep data on-chip as much as possible, minimizing or eliminating external memory traffic. Innovative dataflow design ensures external memory bandwidth is minimized while enabling high efficiency regardless of input data size or NN depth.
The aiWare Studio SDK has been recognized and acclaimed by OEMs and Tier1s around the world for its innovative approach to embedded NN optimization, focusing on iterating the NN itself, not just the NPU code used to execute it. This gives NN designers far more flexibility when implementing their NNs for production hardware platforms than other NPU solutions. The offline performance estimator within aiWare Studio is another highlight, delivering accurate performance estimation within 5% of final silicon on any desktop PC. And thanks to the comprehensive portfolio of aiDrive modular software for automotive AI, a wide range of software solutions fully optimized for aiWare are also available.
aiWare is a state-of-the-art NPU for automotive inference, with many features built-in to maximize performance for a wide range of automotive AI applications.
The aiWare5 RTL is fully synthesizable to deliver up to 256 TOPS per core @ 2GHz at 5nm, using standard libraries and memory compilers. The RTL is designed for easy integration, with no large buses and tiled computation modules to enable easy implementation at high clock speeds.
A GPU-accelerated, bit-accurate emulator enables faster-than-real-time SIL testing without target hardware, removing a major development bottleneck. Instead of sourcing hundreds of units and building costly labs, aiWare chips let teams use existing cloud or on-prem GPUs to run full stacks—delivering faster test cycles, lower costs, and virtually unlimited scalability.
Built for state-of-the-art multi-input, multi-headed neutral networks uniquely found in automotive perception NN-s. With its versitile engine, no matter if the backbone is a VT (Vision Transformer), a SSM (State Space Model) or a CNN (Convolutional Neural Network) based architecture, aiWare will handle it with ease. Looking beyond perception? With the right configuration, aiWare can handle LLM-s (Large Language Models) too!
