[ Compute Compass · company directory ] Every company building compute hardware
From CPUs and GPUs to quantum processors, photonics, memory and interconnect.
Twenty-one fields of compute
All technologiesBespoke chip designs for specific ecosystems
206 companies 02 AI AcceleratorsSpecialized processors for AI and ML workloads
202 companies 03 ASICsApplication-Specific Integrated Circuits for dedicated tasks
199 companies 04 Edge ComputingLow-power processors for AI at the edge and IoT
107 companies 05 Quantum ComputingQuantum processors using qubits for exponential computing power
104 companies 06 Interconnect & NetworkingChips and links that connect processors, memory and racks
93 companies 07 Photonic ComputingLight-based processors for ultra-fast, energy-efficient computation
91 companies 08 Memory & StorageDRAM, HBM, flash and emerging non-volatile memory
70 companies 09 CPUs & RISC-VGeneral-purpose processors, from x86 and Arm to open RISC-V cores
67 companies 10 HPC & AI SystemsSupercomputers, AI servers and rack-scale systems
43 companies 11 In-Memory ComputingProcessing data where it lives to eliminate bottlenecks
34 companies 12 FPGAsField-Programmable Gate Arrays for flexible hardware acceleration
32 companies 13 Neuromorphic ComputingBrain-inspired chip architectures for efficient AI processing
30 companies 14 Analog ComputingContinuous signal processing for energy-efficient AI
27 companies 15 GPUsGraphics Processing Units for parallel computing, AI, and gaming
19 companies 16 DSPsDigital Signal Processors for real-time processing
14 companies 17 DNA & Bio ComputingBiological systems for data storage and computing
10 companies 18 Superconducting ComputingUltra-low power computing using superconductor circuits
8 companies 19 Spintronics & MRAMMagnetic memory and spin-based computing devices
8 companies 20 TPUsTensor Processing Units for machine learning workloads
5 companies 21 Memristors & ReRAMResistive memory for neuromorphic and in-memory computing
5 companiesNames you know, and the ones coming
Six to start with, in their own words
Browse all 776NVIDIA 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.
View profile GPUs · AI AcceleratorsAMD 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.
View profile GPUsIntel 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.
View profile TPUs · AI Accelerators Cerebras SystemsCerebras 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.
View profile 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.
View profile 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.
View profile[ Around the world ]
From Silicon Valley to Shenzhen
Companies in 30 countries. Open the map to see where each one is based.
Founded since 2020, already shipping or raising
View startups- 2025 Maieutic Semiconductor India $6M seed (UTEC, Endiya, Exfinity)
- 2025 Upscale AI United States $500M total incl. $190M Series A-1, Jun 2026
- 2025 Ricursive Intelligence United States $35M seed (Dec 2025, Sequoia); $300M Series A at $4B valuation (early 2026); $335M total
- 2025 Unconventional AI United States $475M seed at $4.5B valuation (Dec 2025)
- 2025 Quantcore United Kingdom GBP 2.5M seed, Feb 2026
- 2025 Kelvin Quantum United Kingdom
[ Shuffle ]
Feeling curious?
One company at a time, picked at random from all 776. Press R to draw another.
Finding a company…
Find the company behind the chip.
Data may be out of date or incomplete, so check a company's own site before relying on it.