Which startups have raised the most funding in the AI chip market?
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In our AI chip market deck, you will find everything you need to understand the market
The AI chip market is becoming one of the most capital-intensive segments in technology, driven by demand for faster AI training, lower-cost inference, and specialized data-center acceleration.
This ranking tracks the top startups in the AI chip market by cumulative funding raised, and we update this list every month as new rounds, IPOs, acquisitions, and disclosures appear.
The current dataset shows a market shaped by a few very large funding outcomes, while dozens of private AI chip companies continue to attract capital across GPUs, inference ASICs, photonics, RISC-V, and memory-centric architectures.
And if you want to better understand this new industry, you can download our pitch covering the AI chip market.
A quick summary table
| Metric | Value |
|---|---|
| Most funded startup | Cerebras Systems, $8.8B raised |
| Second most funded startup | Groq, $2.4B raised |
| Largest funding round | Cerebras Systems, $5.6B IPO in May 2026 |
| Median funding | $117M |
| Share of funding captured by the top 10 | About 60.8% |
| Median time since last round | About 18 months |
| Startups that raised funding in the last 12 months | 37 startups |
| Total AI chip funding tracked | About $34.0B across 89 startups |
| Active AI chip startups in the ranking | 64 startups |
| AI chip IPO and acquisition outcomes | 22 companies |

This chart, featured in our AI chip market deck, shows annual VC investment in AI chip startups
Top startups in the AI chip market ranked by total funding raised
Here is an updated table that ranks the top startups in the AI chip market based on the total amount of funding they have raised to date.
The table also includes the total number of funding rounds, the date and size of the latest round, the financing type (e.g. Series A, equity financing), key investors, the startup’s current status (active, IPO, acquired, or shut down), and a confidence score based on the data collected (we excluded startups with very low data confidence, to make sure everything is reliable).
If you're interested in knowing how much these startups are worth, you can check our list of the top startups in the AI chip market ranked by valuation.
| # | Startup | What They Do | Total Raised ($) | Total Rounds | Last Round Date | Last Round Amount ($) | Last Round Type | Key Investors | Current Stage | Confidence |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Cerebras Systems | Wafer-scale AI inference systems | $8.8B | 10 | May 2026 | $5.6B | IPO | Public-market investors | IPO | Strong |
| 2 | Groq | LPU inference cloud chips | $2.4B | 6 | June 2026 | $650M | Growth capital | Not publicly disclosed | Active | Partial |
| 3 | Moore Threads | Full-stack Chinese GPU chips | $1.8B | 5 | December 2025 | $1.1B | IPO | Public investors, Shanghai Guosheng, 5Y Capital | IPO | Strong |
| 4 | Biren Technology | Data-center GPGPU accelerator chips | $1.8B | 5 | January 2026 | $717M | IPO | Qiming, UBS, Ping An Group | IPO | Partial |
| 5 | SambaNova Systems | Dataflow AI systems platform | $1.5B | 5 | February 2026 | $350M | Series E | Intel Capital, Vista Equity, Cambium Capital | Active | Strong |
| 6 | Tenstorrent | RISC-V AI processors IP | $1.0B | 5 | December 2024 | $693M | Series D | Samsung Securities, AFW Partners, XTX Markets | Active | Partial |
| 7 | MetaX | AI training GPU platforms | $915M | 4 | December 2025 | $596M | IPO | Chaos Investment, HongShan, Matrix Partners China | IPO | Partial |
| 8 | Rebellions | AI inference accelerator infrastructure | $850M | 6 | March 2026 | $400M | Pre-IPO | Mirae Asset, Korea National Growth Fund, Arm | Active | Strong |
| 9 | Lightmatter | Photonic AI interconnect compute | $822M | 6 | October 2024 | $400M | Series D | T. Rowe Price, Fidelity, GV | Active | Strong |
| 10 | Iluvatar CoreX / Tianshu Zhixin | General-purpose AI GPUs | $807M | 4 | January 2026 | $473M | IPO | Centurium, Cedarlake, Hopu Investments | IPO | Strong |
| 11 | Etched | Transformer-specific inference chips | $800M | 3 | December 2025 | $675M | Growth / undisclosed | Jane Street, VentureTech Alliance | Active | Partial |
| 12 | Enflame Technology | Cloud AI training chips | $746M | 6 | September 2023 | $274M | Series D | Shanghai International Group, Tencent, Meitu | Active | Strong |
| 13 | Graphcore | IPU AI accelerators | $684M | 6 | December 2020 | $222M | Series E | Ontario Teachers’, Fidelity, Schroders | Acquired | Partial |
| 14 | Kunlunxin | Baidu AI accelerator chips | $650M | 5 | July 2025 | $283M | Series D | China Mobile Hecheng Fund, BYD, CICC-related capital | Active | Partial |
| 15 | Lightelligence | Optical AI data-center chips | $566M | 5 | April 2026 | $319M | IPO | China Mobile, China Reform Securities, Alibaba | IPO | Partial |
| 16 | Celestial AI | Photonic AI interconnects | $520M | 4 | August 2025 | $255M | Series C1 | VentureTech Alliance, Samsung Catalyst Fund, Strategic investors | Acquired | Strong |
| 17 | Unconventional AI | Energy-efficient AI computers | $475M | 1 | December 2025 | $475M | Seed | Andreessen Horowitz, Lightspeed, Lux Capital | Active | Full |
| 18 | Cambricon | AI processor and chip systems | $470M | 4 | July 2020 | $369M | IPO | SDIC Venture Capital, Alibaba, Lenovo | IPO | Partial |
| 19 | d-Matrix | Digital in-memory inference chips | $450M | 4 | November 2025 | $275M | Series C | Bullhound Capital, Triatomic Capital, Temasek | Active | Partial |
| 20 | Axelera AI | Edge AI accelerator chips | $380M | 5 | February 2026 | $250M | Growth equity | Innovation Industries, BlackRock, SiteGround Capital | Active | Strong |
| 21 | Vastai Technologies | AI video processing chips | $378M | 3 | January 2022 | $251M | Series B | Alibaba Group, Matrix Partners China, 5Y Capital | Active | Partial |
| 22 | Rivos | RISC-V AI server chips | $370M | 2 | Undisclosed | $120M | Follow-on / undisclosed | Not publicly disclosed | Acquired | Partial |
| 23 | SiMa.ai | Physical AI edge chips | $355M | 7 | August 2025 | $85M | Series C | Maverick Capital, StepStone Group, Existing investors | Active | Strong |
| 24 | Hailo | Edge AI accelerators | $340M | 6 | April 2024 | $120M | Series C extension | Gil Agmon, Poalim Equity, OurCrowd | Active | Strong |
| 25 | Preferred Networks | AI chips and models | $308M | 10 | June 2025 | Undisclosed | Extension | Shin-Etsu Chemical, Sumisei Innovation Fund, SBI Group | Active | Partial |
| 26 | Positron AI | Energy-efficient inference chips | $305M | 3 | February 2026 | $230M | Series B | ARENA, Jump Trading, Unless | Active | Full |
| 27 | Tachyum | Universal AI/HPC processor | $300M | 3 | October 2025 | $220M | Series C | IPM Group, Across Private Investments, European investor | Active | Partial |
| 28 | Mythic | Analog AI inference chips | $290M | 5 | December 2025 | $125M | Later-stage / Growth | DCVC, Honda, Lockheed Martin | Active | Partial |
| 29 | OLIX Computing | Photonic AI inference chips | $250M | 2 | February 2026 | $220M | Series A | Hummingbird Ventures, Plural, Vertex Ventures US | Active | Partial |
| 30 | FuriosaAI | Data-center AI inference accelerators | $246M | 4 | July 2025 | $125M | Series C bridge | KDB, IBK, Naver | Active | Partial |
| 31 | Enfabrica | AI networking silicon | $240M | 2 | November 2024 | $115M | Series C | Spark Capital, Arm, Cisco Investments | Active | Full |
| 32 | Fractile | Frontier AI inference chips | $238M | 3 | May 2026 | $220M | Series B | Accel, Factorial Funds, Founders Fund | Active | Strong |
| 33 | Taalas | Model-specific AI chips | $219M | 3 | February 2026 | $169M | Growth / Series D | Quiet Capital, Fidelity, Pierre Lamond | Active | Strong |
| 34 | Wave Computing | Dataflow AI processors | $203M | 6 | November 2018 | $86M | Series E | Oakmont Corporation, existing investors | Acquired | Partial |
| 35 | Kneron | Edge AI neural processors | $195M | 5 | September 2023 | $49M | Series B extension | Foxconn, Alltek, Horizon Ventures | Active | Partial |
| 36 | Openchip | RISC-V AI HPC processors | $178M | 2 | June 2026 | $137M | Equity investment | SETT, Generalitat de Catalunya | Active | Partial |
| 37 | Recogni | AI inference accelerators | $176M | 3 | February 2024 | $102M | Series C | Celesta Capital, GreatPoint Ventures, Mayfield | Active | Strong |
| 38 | Cornami | Many-core AI/security processors | $164M | 7 | August 2025 | $1M | Series D-II | Cendana Capital, Elysium Venture Capital, Impact Venture Capital | Active | Partial |
| 39 | Blaize | Edge AI computing platform | $158M | 2 | July 2021 | $71M | Series D | Franklin Templeton, Temasek, DENSO | IPO | Partial |
| 40 | Untether AI | At-memory AI inference chips | $152M | 5 | July 2021 | $125M | Series B | Tracker Capital, Intel Capital, CPPIB | Shutdown | Strong |
| 41 | EnCharge AI | Analog in-memory AI chips | $144M | 3 | February 2025 | $100M | Series B | Tiger Global, Samsung Ventures, HH-CTBC | Active | Full |
| 42 | Luminous Computing | Photonic AI supercomputer chips | $123M | 3 | March 2022 | $105M | Series A | Gigafund, Bill Gates, 8090 Partners | Shutdown | Partial |
| 43 | Achronix | FPGA acceleration chips | $122M | 3 | March 2011 | $45M | Series C | Strategic investors, Existing investors, Intel-related syndicate | Active | Partial |
| 44 | Habana Labs | AI training accelerators | $120M | 2 | November 2018 | $75M | Series B | Intel Capital, WRV Capital, Bessemer | Acquired | Strong |
| 45 | Neurophos | Photonic AI chips | $117M | 2 | January 2026 | $110M | Series A | Gates Frontier, M12, Carbon Direct | Active | Strong |
| 46 | NeuroBlade | Processing-in-memory analytics chips | $110M | 3 | October 2021 | $83M | Series B | Corner Ventures, Intel Capital, Grove Ventures | Acquired | Strong |
| 47 | MatX | LLM-focused AI accelerators | $105M | 2 | November 2024 | $80M | Series A | Spark Capital | Active | Partial |
| 48 | DEEPX | Edge AI semiconductors | $103M | 4 | May 2024 | $81M | Series C | SkyLake Equity Partners, BNW Investments, AJU IB | Active | Strong |
| 49 | Cornelis Networks | AI/HPC network fabric | $85M | 3 | November 2024 | $20M | Series B extension | Downing Ventures, Intel Capital, Chestnut Street Ventures | Active | Partial |
| 50 | GSI Technology | Compute-in-memory APUs | $84M | 2 | October 2025 | $50M | Registered Direct | Institutional investor, Needham | IPO | Partial |
| 51 | Flex Logix | eFPGA and AI inference IP | $82M | 4 | March 2021 | $55M | Series D | Mithril Capital, Lux Capital, Eclipse Ventures | Acquired | Strong |
| 52 | Q.ANT | Photonic AI/HPC processors | $80M | 1 | October 2025 | $80M | Series A | Duquesne Family Office, Cherry Ventures, UVC Partners | Active | Strong |
| 53 | Quadric | On-device AI processor IP | $72M | 4 | January 2026 | $30M | Series C | BEENEXT, Uncork Capital, Pear VC | Active | Strong |
| 54 | NeuReality | AI inference data-center processors | $70M | 4 | March 2024 | $20M | Series A extension | EIC Fund, Varana Capital, OurCrowd | Active | Partial |
| 55 | VSORA | AI inference chips | $66M | 5 | April 2025 | $46M | Series C / late venture | Otium, Omnes Capital, Adélie Capital | Active | Partial |
| 56 | Vertical Compute | 3D AI memory chiplets | $65M | 2 | March 2026 | $42M | Seed extension | Quantonation, Flanders Future Techfund, Eurazeo | Active | Partial |
| 57 | Esperanto Technologies | RISC-V AI/HPC chips | $63M | 3 | November 2018 | $58M | Series B | Western Digital Capital, Fort Ross Ventures, Almaz Capital | Acquired | Partial |
| 58 | MemryX | Edge AI accelerators | $63M | 3 | March 2025 | $44M | Series B | HarbourVest, M Ventures, Arm IoT Fund | Active | Partial |
| 59 | Sapeon | Data-center AI inference chips | $62M | 1 | 2021 / 2022 | $62M | Corporate JV | SK Telecom, SK hynix, SK Square | Acquired | Partial |
| 60 | Mobilint | Edge NPU chips | $62M | 3 | April 2026 | $46M | Series C | Praxis Capital Partners, POSCO Investment, Company K Partners | Active | Partial |
| 61 | Oxmiq Labs | Licensable GPU AI architecture | $60M | 2 | July 2026 | $35M | Series A | Fundomo, Samsung Catalyst Fund, MediaTek | Active | Strong |
| 62 | AI Analog Inference / Sagence AI | Analog in-memory AI inference | $58M | 3 | May 2023 | Undisclosed | Series B / later venture | TDK Ventures, P7 Ventures, New Science Ventures | Active | Partial |
| 63 | Kinara | Edge AI NPUs | $54M | 2 | September 2021 | $35M | Series B | Tiger Global, Silicon Motion, Western Digital | Acquired | Partial |
| 64 | Ventana Micro Systems | RISC-V data-center CPUs | $53M | 2 | September 2021 | $38M | Series B | Sehat Sutardja, Weili Dai, Strategic partner | Acquired | Strong |
| 65 | DeePhi Tech | FPGA deep-learning acceleration | $50M | 2 | October 2017 | $40M | Series A+ | Ant Financial, Samsung Electronics, China Growth Capital | Acquired | Strong |
| 66 | Ceremorphic | Energy-efficient AI supercomputing chips | $50M | 1 | January 2022 | $50M | Series A | Ceremorphic founders | Active | Full |
| 67 | Salience Labs | Photonic AI connectivity | $42M | 2 | February 2025 | $30M | Series A | Applied Ventures, ICM HPQC Fund, Oxford Science Enterprises | Active | Strong |
| 68 | Rain AI | Neuromorphic AI inference chips | $38M | 3 | May 2024 | $8M | Series A extension | Sam Altman, Prosperity7 Ventures, Epic Ventures | Active | Partial |
| 69 | Lemurian Labs | AI compute software architecture | $37M | 2 | December 2025 | $28M | Series A | Pebblebed, Hexagon, Good Growth Capital | Active | Full |
| 70 | Baya Systems | Chiplet system IP | $36M | 1 | January 2025 | $36M | Series B | Maverick Silicon, Synopsys, Matrix Partners | Active | Full |
| 71 | Nervana Systems | Deep-learning AI silicon | $28M | 5 | July 2015 | $21M | Series A/B | DCVC, Allen & Company, AME Cloud | Acquired | Partial |
| 72 | Arago Computing | Photonic AI processors | $26M | 1 | July 2025 | $26M | Seed | Earlybird, Protagonist, Visionaries Tomorrow | Active | Full |
| 73 | DenglinAI | General-purpose AI GPUs | $24M | 6 | July 2023 | Undisclosed | Series C | China Internet Investment Fund, Qualcomm Ventures, Forebright Capital | Active | Low |
| 74 | Snowcap Compute | Superconducting AI compute platform | $23M | 1 | June 2025 | $23M | Seed | Playground Global, Cambium Capital, Vsquared Ventures | Active | Full |
| 75 | NEUCHIPS | Recommendation inference ASICs | $20M | 1 | October 2022 | $20M | Series B2 | Wistron, JAFCO Asia, Powerchip Group | Active | Strong |
| 76 | Opticore | Photonic computing chips | $15M | 2 | September 2025 | $8M | Seed | Origin Ventures, Jetha Capital, Neotribe | Active | Strong |
| 77 | Netrasemi | Edge AI SoCs | $15M | 4 | July 2025 | $12M | Series A | Zoho, Unicorn India Ventures, Maithan Alloys | Active | Partial |
| 78 | Morphing Machines | Reconfigurable many-core processors | $14M | 4 | April 2026 | $5M | Series A tranche | Hero Enterprise Partner Ventures, Colossa WomenFirst, Navam Capital | Active | Partial |
| 79 | Extropic | Thermodynamic AI computing chips | $14M | 1 | December 2023 | $14M | Seed | Kindred Ventures, Valor Equity Partners, HOF Capital | Active | Full |
| 80 | AlphaICs | Edge AI processors | $11M | 3 | January 2021 | $8M | Series B | Emerald Technology Ventures, Endiya Partners, Aaruha Technology Fund | Active | Strong |
| 81 | Lumai | Optical AI accelerator chips | $10M | 1 | April 2025 | $10M | Seed / venture | Constructor Capital, PhotonVentures, Journey Ventures | Active | Full |
| 82 | Akhetonics | All-optical digital processors | $9M | 3 | November 2024 | $6M | Seed | Matterwave Ventures, 468 Capital, Bayern Kapital | Active | Strong |
| 83 | GEMESYS | Brain-inspired edge AI chips | $9M | 1 | November 2024 | $9M | Pre-seed | Amadeus APEX, Atlantic Labs, Sony Innovation Fund | Active | Partial |
| 84 | SEMRON | 3D in-memory AI chips | $8M | 2 | January 2024 | $8M | Seed | Join Capital, SquareOne, OTB Ventures | Active | Strong |
| 85 | Flow Computing | CPU parallel acceleration IP | $4M | 1 | June 2024 | $4M | Pre-seed | Butterfly Ventures, FOV Ventures, Superhero Capital | Active | Full |
| 86 | Ubitium | Universal RISC-V AI processor | $4M | 1 | November 2024 | $4M | Seed | Runa Capital, Inflection, KBC Focus Fund | Active | Full |
| 87 | Vathys | Deep-learning processor architecture | $3M | 1 | 2018 | $3M | Seed | DCVC, FundersClub, Y Combinator | Shutdown | Low |
| 88 | deepsilicon | AI chip design | $1M | 1 | 2024 | $1M | Seed | Y Combinator | Active | Low |
| 89 | Zettascale | Reconfigurable dataflow AI chips | $1M | 1 | 2024 | $1M | Seed | Y Combinator, Eight Capital Management | Active | Strong |

This market map, featured in our AI chip market deck, highlights top companies and startups in the AI chip market
Key funding trends in the AI chip market
Insights
- Cerebras Systems alone represents about 26% of all funding in this AI chip ranking, showing how one wafer-scale accelerator company can reshape the market’s capital profile.
- The top 10 AI chip startups captured about 61% of total funding, which shows that capital is heavily concentrated around a small group of GPU, inference, and photonic leaders.
- Public-market outcomes are already central to AI chip funding, with Cerebras Systems, Moore Threads, Biren Technology, MetaX, Iluvatar CoreX, Lightelligence, Cambricon, Blaize, and GSI Technology all listed as IPO-stage companies.
- Photonic and optical AI chip startups are now a serious funding category, with Lightmatter, Celestial AI, Lightelligence, OLIX Computing, Q.ANT, Neurophos, Salience Labs, Arago Computing, Lumai, Akhetonics, and Opticore appearing in the dataset.
- Edge AI chip companies are numerous, but most remain far smaller than data-center accelerator companies, which suggests that training and inference infrastructure still attracts the largest funding rounds.
- AI inference is becoming more specialized, with Etched, Positron AI, d-Matrix, FuriosaAI, Fractile, Taalas, and NeuReality targeting specific model, memory, or data-center bottlenecks instead of general-purpose compute.
- Several large recent rounds happened in 2025 and 2026, which shows that investors are still willing to fund hardware-heavy AI chip startups despite long development cycles and high capital needs.
- Memory-adjacent AI architectures remain a major theme, with d-Matrix, EnCharge AI, Untether AI, NeuroBlade, SEMRON, and Vertical Compute reflecting investor interest in reducing data-movement costs.

As this chart shows, and as featured in our AI chip market deck, search interest in AI chips has grown significantly
A few word about our methodology
As you can see, we built a database that ranks startups in the AI chip market based on their total cumulative fundraising. To create this ranking, we reviewed many sources and cross-checked information across multiple places.
Whenever possible, we prioritized official company communications, since they are the most reliable source for funding amounts. When those were not available, we relied on reputable industry sources such as TechCrunch, Crunchbase, Financial Times or Forbes (to name a few).
We excluded random blogs, unverified websites, and any sources that could not be validated.
When funding rounds were announced in other currencies such as euros, Swiss francs, Singapore dollars, Australian dollars, Chinese yuan, Korean won, or rupees, we converted them into approximate USD equivalents for consistency.
Sometimes different sources report slightly different numbers, or the exact round size is not fully disclosed. In those cases, we flag the uncertainty and assign a confidence label to each startup, visible in the last column.
Here is what they mean.
Full confidence: The company’s equity fundraising history can be reconstructed completely from public sources. The rounds, dates, amounts, and key investors are clearly identified, with no meaningful gaps.
Strong confidence: The fundraising history is largely complete and reliable. There may be a small missing detail, such as incomplete investor information or a minor round with limited data, but the overall record is clear.
Partial confidence: The main fundraising rounds can be identified, but the record is incomplete or somewhat mixed. Some rounds may be missing or certain funding events may be difficult to separate clearly.
Low confidence: Public information is too limited, inconsistent, or ambiguous to reliably reconstruct the company’s equity fundraising history.
When the confidence level is too low, we take a conservative approach and exclude the company from the ranking. We don’t want to include data that cannot be reliably verified.
This reflects how we conduct all our research, including the work behind our report covering the AI chip market.
In a world where LLMs hallucinate and unreliable information is everywhere, our goal is simple: provide data you can trust.
If you want the full detail on a specific calculation, feel free to contact us and we will gladly explain.
Finally, know that we update the dataset once per month, so come back here if you need fresh information.

This chart, featured in our AI chip market deck, shows how Nvidia is leading in AI chips
Related blog posts
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