Products for Supercomputers and HPC
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-R
Cortex-R82
- Offers efficient, high-performance compute for complex storage applications.
- Supports Arm Neon technology for ML acceleration.
- Implements MMU for rich OS support.
Neoverse
Neoverse V3
- Highest single-thread performance for cloud, HPC, and AI/ML workloads.
- Supports up to 3MB private L2 cache per core.
- The perfect foundation for AI accelerator development.
Neoverse V2
- With an enhanced pipeline and up to 2MB L2 cache per core, Neoverse V2 can deliver 2x the performance of Neoverse V1 on cloud and ML applications.
- Arm's first V-series core with Armv9 features like memory tagging extension (MTE) and performance defined power (PDP).
Neoverse V1
- Arm’s first SVE implementation for the HPC market, with 2x floating and 4x ML uplift over Neoverse N1.
- Expands market-leading performance with 50% IPC uplift over Neoverse N1.
Neoverse N2
- Market leading scalability and versatility.
- Significant 40% IPC performance improvement over Neoverse N1.
- Armv9 introduces key features for performance (SVE2) and security (MTE).
Neoverse N1
- Revolutionary compute performance.
- Platform features specific to infrastructure.
- Designed for extreme range of scale and diversity of compute.
Neoverse Compute Subsystems
Neoverse CSS V3
- Up to 64 high-performance Neoverse V3 cores per die.
- Offers a highly customizable, high-performance memory subsystem.
- Supports high-speed, low-latency AI accelerator attachment options.
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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