Empowering the future of AI innovation
Our purpose-built solutions open new opportunities for differentiation in the transformation to the Software Defined Vehicle. Designed to accelerate your end-to-end, full-stack AI compute needs with broad scalability, highly efficient compute, and a user-friendly ecosystem to deliver the lowest total system cost. You can be confident that your AI investment is future proof for tomorrow's large multi-modal workloads.
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Growth in automotive AI workloads offers unprecedented opportunities for market innovation and differentiation.
Monolithic SoCs are scaling with an unsustainable impact on system cost, energy usage, and development lead-times.
Purpose-built, broadly-scalable and highly efficient AI compute solutions are needed to decouple and future proof your AI innovation.
ADAS/AD
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HUD augmented reality
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Ultra-low latency natural language processing and large language model
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Recogni's universal AI engine was developed to meet the future needs of automotive at the lowest system cost.
- Highest compute density and efficiency
- Scalability across market segments and autonomy levels
- Support for transformers and all automotive AI models
- Standard workflows, bit-accurate simulation, push button conversion, and AI model zoo
10x
better power efficiency
20%
longer EV range
5x
higher compute density
Recogni enables customers to future proof AI innovation and make the most of growth opportunities.
Next-generation automotive AI processor
Meets the end-to-end, full stack AI needs of automotive
350 TFLOPS of AI compute at <15W
CNN, transformer and LVM capable
100% ONNX support
High utilization across a wide range of networks
AI SDK enables easy PTQ conversion
Easily scale to 1400 TFLOPS with multiple processors
Future proof for models in excess of 10B parameters
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