Arm Holdings vs Intel
Relationship
Arm CSS for Mobile 2 and Intel Gaudi AI Accelerator do comparable work on accelerator silicon; same layer and the same scale band (large-cap).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 6 capabilities — Shares AI compute hardware, accelerator silicon and model inference.
Ludbee capability tags · from the product recordsShared product type — Both ship hardware.
Ludbee product recordsSame scale band — Both large-cap.
Ludbee scale bands · from valuation and funding figuresAligned comparison
Capability overlap
Shared · 3
Not verified for Intel · 3
Recorded for Arm Holdings. Intel’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Arm Holdings · 6
Recorded for Intel. Arm Holdings’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Arm Holdings
Hardware
Arm's first self-designed, TSMC-manufactured production CPU — up to 136 Neoverse V3 cores on 3nm — built for sustained agentic-AI data-centre workloads and co-developed with lead customer Meta.
Arm's second-generation mobile compute subsystem — the C2 CPU cluster (C2-Ultra, C2-Pro) with SME2 for on-device agentic AI — positioned by Arm against "the previous generation Arm (Lumex) reference platform".
A licensable microNPU IP core that adds on-device ML inference to area- and power-constrained embedded and IoT designs paired with Cortex-M processors.
A licensable microNPU IP core delivering roughly double the on-device inference performance of Ethos-U55, for Cortex-A, Cortex-R and Neoverse-based edge systems.
Neural processing unit designs licensed to chip makers for running models on edge and mobile devices.
Arm's AI-first mobile Compute Subsystem, a licensable CPU, GPU and system-IP bundle for on-device generative AI, shipping in the vivo X300 and OPPO Find X9.
CPU designs licensed to chip makers for servers and data-centre silicon, including the host processors in AI systems.
A configurable, pre-validated compute subsystem built on Neoverse N4 cores (8–128 cores per die, Armv9.3, up to 3.8 GHz on 3 nm) with integrated system IP, delivered to partners as RTL for agentic-infrastructure silicon.
A licensable physical-AI Compute Subsystem combining Cortex-A and Cortex-R processors with system IP for safety-relevant AI-defined vehicle and robotics SoCs.
Intel
Hardware
AI training and inference accelerator sold as PCIe cards and OEM systems.
No counterpart
Intel sells these in a stack layer with no product recorded for Arm Holdings yet — nothing on the other side to compare them against.
Application
Free local generative-AI desktop app for Intel AI PCs offering offline chat, image generation and editing, and video generation using open models.
Developer tool
Open-source Python library that automates model quantization, pruning and distillation across PyTorch, TensorFlow and ONNX Runtime to speed inference on Intel hardware.
Open-source toolkit that optimises and runs trained models across Intel CPUs, GPUs and NPUs.
Platform
Computer-vision development platform providing AI-assisted annotation, active learning and model training for classification, detection and segmentation.
Infrastructure service
Cloud platform offering pay-as-you-go bare-metal and virtual access to Intel Gaudi accelerators, Max Series GPUs and Xeon CPUs for AI training and inference.