AMD vs Arm Holdings
Relationship
AMD Kria SOMs and Arm Neoverse CSS N4 do comparable work on AI compute hardware; 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 9 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 Arm Holdings · 6
Recorded for AMD. Arm Holdings’s product records say nothing either way — a missing record is not a missing capability.
Not verified for AMD · 3
Recorded for Arm Holdings. AMD’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
AMD
Hardware
A rack-scale AI system combining 72 Instinct MI455X GPUs with EPYC CPUs and Pensando networking for frontier-model training and large-scale inference.
Data-centre GPU accelerators for training and serving models, sold in OEM servers and rack systems.
System-on-module family for deploying edge and physical AI, with production SOMs and partner-validated carrier systems.
AI NIC family (Pollara 400 at 400 Gbps, Vulcano 800 at 800 Gbps Ethernet) for scale-out inter-GPU communication in AI training and inference clusters, built on the Ultra Ethernet Consortium specification.
Data processing unit family (Salina, Giglio) offloading networking, security and storage services from host CPUs in AI data centres, programmable via the P4-based Pensando software stack.
Second-generation Versal AI Edge adaptive SoC family for embedded AI preprocessing, inference and postprocessing.
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.
No counterpart
AMD sells these in a stack layer with no product recorded for Arm Holdings yet — nothing on the other side to compare them against.
Platform
An open-source reference stack for running enterprise AI workloads at scale on AMD compute: open-source AI frameworks and generative models connected to an enterprise-ready Kubernetes platform, with AMD Inference Microservices — prebuilt inference containers bundling model, engine and optimised configuration for AMD hardware.
Open-source GPU computing stack of compilers, runtimes and libraries for running AI and HPC workloads on AMD hardware.
A development stack of compiler, runtime and tools for porting pretrained models onto the NPU and integrated GPU of Ryzen AI processors.
An open-source AI inference development stack of compiler, optimised NPU IP and runtime for deploying deep-learning models on AMD adaptive SoCs, FPGAs and Alveo cards.
Infrastructure service
An on-demand cloud service giving developers browser and API access to AMD Instinct MI300X GPU instances for AI, ML and HPC workloads.