🧩 CPU & AI Chip Manufacturers

The world's leading AI chip company. H100, H200, and Blackwell GPUs power nearly every major AI model training and inference workload.

AMD Instinct MI300X GPUs compete directly with NVIDIA for AI training and inference workloads. EPYC CPUs widely used in AI servers.

Intel Gaudi AI accelerators and Xeon CPUs for AI workloads. OpenVINO toolkit for optimized AI inference on Intel hardware.

Groq's Language Processing Units deliver 300+ tokens/second inference — the fastest available for LLM serving at production scale.

World's largest chip — the Wafer Scale Engine 3 (WSE-3) with 4 trillion transistors delivers unprecedented AI training performance.

SambaNova's Reconfigurable Dataflow Units (RDUs) offer flexible AI compute optimized for large model training and inference.

Building analog in-memory compute chips that mimic the brain's efficiency for AI inference at a fraction of the power cost.

Snapdragon NPUs bring on-device AI to billions of smartphones and edge devices. Cloud AI 100 for data center inference.

M-series chips with dedicated Neural Engine for on-device AI. M4 Ultra delivers exceptional ML performance with unified memory.

Analog in-memory computing chips delivering energy-efficient AI inference for edge applications without cloud dependency.

UK-based Graphcore builds IPUs designed specifically for AI and machine learning — offering a different architecture to GPU-based systems.

Israel's leading AI chip company. Hailo-8 delivers 26 TOPS for edge AI in automotive, smart cities, and industrial applications.

Arquitecture-agnostic MLSoC for edge AI — optimized for computer vision and perception workloads in automotive and robotics.

Huawei's Ascend 910B AI chip is China's most advanced domestically produced AI accelerator, used to train large Chinese LLMs.

China's leading AI chip startup. MLU370 AI accelerator cards used across Chinese cloud providers and research institutions.

Journey series AI chips for autonomous driving and ADAS — used in major Chinese automakers for real-time perception processing.

Chinese GPU startup targeting the high-performance AI compute market with BR100 chips offering competitive FLOPS performance.

Samsung's Exynos chips include dedicated NPUs for on-device AI. HBM memory manufacturing critical for AI data centers globally.

Taiwan Semiconductor Manufacturing — fabricates chips for NVIDIA, Apple, AMD, and virtually every AI chip company. 3nm and 2nm process leader.

Dimensity chips with APU (AI Processing Unit) power mid-range to flagship AI smartphones across Asia and globally.