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[ Compute Compass · company directory ] Every company building compute hardware

From CPUs and GPUs to quantum processors, photonics, memory and interconnect.

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[ 776 companies ][ 30 countries ][ 21 technologies ][ 201 public stocks ]

Twenty-one fields of compute

All technologies
01 Custom Silicon

Bespoke chip designs for specific ecosystems

206 companies
02 AI Accelerators

Specialized processors for AI and ML workloads

202 companies
03 ASICs

Application-Specific Integrated Circuits for dedicated tasks

199 companies
04 Edge Computing

Low-power processors for AI at the edge and IoT

107 companies
05 Quantum Computing

Quantum processors using qubits for exponential computing power

104 companies
06 Interconnect & Networking

Chips and links that connect processors, memory and racks

93 companies
07 Photonic Computing

Light-based processors for ultra-fast, energy-efficient computation

91 companies
08 Memory & Storage

DRAM, HBM, flash and emerging non-volatile memory

70 companies
09 CPUs & RISC-V

General-purpose processors, from x86 and Arm to open RISC-V cores

67 companies
10 HPC & AI Systems

Supercomputers, AI servers and rack-scale systems

43 companies
11 In-Memory Computing

Processing data where it lives to eliminate bottlenecks

34 companies
12 FPGAs

Field-Programmable Gate Arrays for flexible hardware acceleration

32 companies
13 Neuromorphic Computing

Brain-inspired chip architectures for efficient AI processing

30 companies
14 Analog Computing

Continuous signal processing for energy-efficient AI

27 companies
15 GPUs

Graphics Processing Units for parallel computing, AI, and gaming

19 companies
16 DSPs

Digital Signal Processors for real-time processing

14 companies
17 DNA & Bio Computing

Biological systems for data storage and computing

10 companies
18 Superconducting Computing

Ultra-low power computing using superconductor circuits

8 companies
19 Spintronics & MRAM

Magnetic memory and spin-based computing devices

8 companies
20 TPUs

Tensor Processing Units for machine learning workloads

5 companies
21 Memristors & ReRAM

Resistive memory for neuromorphic and in-memory computing

5 companies

Six to start with, in their own words

Browse all 776
GPUs · AI Accelerators NVIDIA

NVIDIA designs GPUs, CPUs, DPUs and networking products such as NVLink, InfiniBand and Ethernet, and develops the CUDA software platform that runs on its GPUs. Its Data Center products are widely used for AI training and inference, and it also sells GeForce graphics cards for gaming and RTX workstation GPUs. NVIDIA is fabless. Foundries such as TSMC make its wafers, memory comes from suppliers including SK hynix, Micron and Samsung, and partners handle assembly and packaging. The company was incorporated in 1993 and is based in Santa Clara, California.

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GPUs · AI Accelerators AMD

AMD designs processors and accelerators across several product lines. These include EPYC server CPUs, Instinct data center GPUs for AI and high performance computing, Ryzen client processors, Radeon graphics cards, and FPGAs and adaptive SoCs from its Embedded business. Its ROCm software supports Instinct GPUs. AMD does not own fabs. It relies mainly on TSMC for wafers, with packaging and test handled by partners in Asia. The company was incorporated in 1969 and is headquartered in Santa Clara, California.

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GPUs Intel Arc

Intel Arc is the brand for Intel's discrete graphics processors, used for gaming, content creation and some AI work. It first appeared with the Alchemist generation, launched in March 2022 on laptops, and Battlemage cards such as the Arc B580 followed on 13 December 2024. Arc chips are designed by Intel and manufactured under contract by TSMC, which sets them apart from Intel's integrated graphics built into CPUs. Intel Corporation is headquartered in Santa Clara, California.

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TPUs · AI Accelerators Cerebras Systems

Cerebras Systems builds AI processors around the Wafer-Scale Engine, a single chip made from an entire silicon wafer rather than a cut die. The third generation, WSE-3, powers the company's CS-3 systems, which it sells for on-premises use and also offers as cloud inference and training services. Cerebras is headquartered in Sunnyvale, California. It listed on Nasdaq under the ticker CBRS on May 14, 2026, after pricing its initial public offering at $185 per share.

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AI Accelerators · HPC & AI Systems Groq

Groq designs the Language Processing Unit, or LPU, an inference chip built for fast, predictable execution of AI language models, and runs GroqCloud, a hosted inference service for developers. In December 2025 Groq announced a non-exclusive licensing agreement with NVIDIA for its inference technology, and founder Jonathan Ross and president Sunny Madra joined NVIDIA. Groq remains a separate company, with GroqCloud continuing to operate under new chief executive Simon Edwards. The deal value was reported by CNBC at about $20 billion and was not confirmed by the companies.

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Photonic Computing · Interconnect & Networking Lightmatter

Lightmatter develops photonic interconnect technology for AI data centers, using light rather than electrical signals to move data between chips. Its Passage product line includes the M1000, a photonic interposer, and the L200 and L200X, co-packaged optics engines. The M1000 is built on the GlobalFoundries Fotonix silicon photonics platform, and the L200 was developed with Alphawave Semi. Lightmatter is a privately held company whose products target the bandwidth limits that arise when connecting large numbers of GPUs and other accelerators.

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