Products for Sensor Fusion
Arm is the world's leading technology provider of silicon IP for the intelligent system-on-chips at the heart of billions of devices. Our portfolio of products enable partners to innovate and get-to-market faster on a secure architecture built for performance and power efficiency. Find the right processor IP for your application.
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Cortex-A
Cortex-A720AE
- Designed for the next generation of software defined vehicles.
- Arm DynamIQ Shared Unit, DSU-120AE, brings increased levels of scalability.
- Introduces safety features for both ISO 26262 ASIL B and ASIL D certifications.
Cortex-A520AE
- Designed for the next generation of software defined vehicles (SDVs).
- Innovative micro-architecture delivering highly efficient performance.
- Split-lock feature to build silicon once and address multiple markets.
Ethos - NPUs
Ethos-U85
- Delivers up to 4 TOPs scalable ML performance.
- 20% improvements in energy efficiency than previous Ethos-U NPUs.
- Native support for transformer networks.
Ethos-U65
- Delivers 1.0 TOP/s ML performance in about 0.6 mm2.
- Partner configurable from 256 to 512 8-bit MACs.
- Unified toolchain supports Cortex-M and Cortex-A based systems.
Ethos-U55
- Delivers up to 0.5 TOP/s, a 480x ML up lift and 90% energy reduction.
- Partner configurable from 32 to 256 8-bit MACs in around 0.1mm2.
- Rapid development with a single tool chain for Cortex-M and Ethos-U.
Neoverse
Neoverse V3AE
- Highest single-thread performance for AI/ML workloads and automotive markets.
- Supports up to 3MB L2 cache per core.
- Performance to meet the needs of complex workloads for autonomous vehicles and advanced driver-assistance systems in future generations of software-defined vehicles.
Understanding AI Inference on Arm CPUs
Demand for running AI workloads on CPU is growing. This comprehensive guide provides a deep dive into CPU inference and the use cases for which this may be the practical choice. Explore the industries that are already benefiting from AI on CPU and learn about real-world examples.
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