All the funding deals in the AI chip market
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The AI chip market is attracting large funding rounds as demand grows for faster and more energy-efficient AI computing.
We conducted deep research and collected 40 AI chip market funding deals announced between January 2024 and July 2026.
We refresh this page very often to add new AI chip funding deals and update existing information.
And if you want to better understand this new industry, you should get our beautiful slides covering the AI chip market.
Insights
- The 40 AI chip funding deals in this research raised almost $9.83 billion, showing how much capital is needed to design chips, build systems, and compete with established semiconductor companies.
- Cerebras Systems raised a combined $2.1 billion across two rounds. These deals alone represent more than one-fifth of all AI chip funding covered in this list.
- Funding accelerated sharply in 2026. The 11 AI chip deals announced through July 2026 raised about $4.16 billion, despite covering only part of the year.
- Large funding rounds are becoming more common in the AI chip market. Seven deals in this list reached at least $500 million.
- Inference is the main focus for many funded AI chip companies. Groq, Fractile, Positron AI, Rebellions, FuriosaAI, and several other companies are building hardware for running trained AI models.
- Several AI chip startups raised money more than once during the period. Groq, Rebellions, MatX, Positron AI, Cerebras Systems, Etched, OXMIQ Labs, and Taalas all returned for additional capital.
- Alternative computing designs are receiving meaningful support. Photonic, analog, in-memory, wafer-scale, and model-specific chip companies appear throughout the AI chip funding data.
- AI chip companies are moving beyond individual processors. Many recent rounds support complete servers, racks, cloud platforms, software tools, and full AI infrastructure systems.
- The largest AI chip funding rounds are concentrated among companies serving data centers. This reflects the high cost of developing advanced processors and deploying large AI computing systems.
This chart, featured in our AI chip market deck, shows annual VC investment in AI chip startups
Summary table of the funding deals for the AI chip market since 2024
We define the AI chip market as data-center accelerators whose primary purpose is to run AI workloads (training and inference).
We include GPUs, TPUs, and other AI accelerators/ASICs sold for deployment in servers used to train or serve machine-learning models.
We exclude general-purpose CPUs, networking and memory components, and endpoint/edge chips in phones, PCs, cars, and IoT devices.
We focused exclusively on pure players, defined as companies with at least 70–80% of their business directly tied to the AI chip market.
Our analysis has been done at a global level with a minimum funding threshold of $300k.
You can also read our detailed analysis to understand how funding activity in the AI chip market has evolved recently.
If you want a longer-term view, we also have a study of how funding activity in the AI chip market has changed over the years.
Also, you should know that we have a dedicated page, updated weekly, with all the latest fundraising deals in the AI chip market.
| Name | What they do | Amount in $ | Quarter | Source(s) |
|---|---|---|---|---|
| OXMIQ Labs | Develops licensable GPU designs, modular chiplets, and software for AI computing systems. | $35M | Q3 2026 | Yahoo Finance |
| Etched | Builds specialized AI inference chips and complete systems for running large models. | $500M | Q2 2026 | Business Insider |
| Groq | Builds LPU processors and a cloud platform for fast AI inference. | $650M | Q2 2026 | Groq |
| Fractile | Builds AI inference chips that reduce the cost and delay of running large models. | $220M | Q2 2026 | Fractile |
| Rebellions | Builds AI inference chips, accelerator cards, servers, and rack-scale computing systems. | $400M | Q1 2026 | Rebellions |
| SambaNova | Builds custom AI chips, computing systems, and cloud services for large organizations. | $350M | Q1 2026 | Business Wire |
| MatX | Builds chips and rack-scale systems for training and running large language models. | $500M | Q1 2026 | MatX |
| Taalas | Develops chips designed around specific AI models for greater speed and efficiency. | $169M | Q1 2026 | SiliconANGLE |
| Positron AI | Builds energy-efficient hardware and systems for data-center AI inference. | $230M | Q1 2026 | Business Wire |
| Cerebras Systems | Builds wafer-scale processors and computing systems for AI training and inference. | $1B | Q1 2026 | Cerebras |
| Neurophos | Develops photonic processors that use light to accelerate data-center AI workloads. | $110M | Q1 2026 | Neurophos |
| Mythic | Develops analog processors for energy-efficient AI acceleration in data centers and other systems. | $125M | Q4 2025 | Mythic |
| Unconventional AI | Co-designs analog AI chips, algorithms, and software to reduce computing energy use. | $475M | Q4 2025 | Axios |
| d-Matrix | Develops digital in-memory processors for generative AI inference in data centers. | $275M | Q4 2025 | d-Matrix |
| Majestic Labs | Builds AI servers with custom chips designed to improve access to memory. | $100M | Q4 2025 | Business Wire |
| Cerebras Systems | Builds wafer-scale AI processors, supercomputers, and cloud computing services. | $1.1B | Q3 2025 | Cerebras |
| Rebellions | Designs chiplet-based processors for large-scale data-center AI inference. | $250M | Q3 2025 | Rebellions |
| Groq | Builds LPU chips and computing infrastructure for fast generative AI inference. | $750M | Q3 2025 | Groq |
| Opticore | Develops photonic processors that use light for energy-efficient AI computing. | $7.5M | Q3 2025 | ACCESS Newswire |
| FuriosaAI | Develops energy-efficient data-center processors for enterprise AI inference. | $125M | Q3 2025 | FuriosaAI |
| OXMIQ Labs | Develops licensable GPU hardware designs and software for AI and graphics workloads. | $20M | Q3 2025 | Data Center Dynamics |
| Positron AI | Designs energy-efficient hardware for large language model inference. | $51.6M | Q3 2025 | Business Wire |
| Q.ANT | Develops photonic processors for energy-efficient AI and high-performance computing. | $71.8M | Q3 2025 | Q.ANT |
| Arago | Develops photonic AI accelerator chips designed to reduce data-center energy use. | $26M | Q3 2025 | Finopotamus |
| VSORA | Develops high-performance AI inference processors for data centers and edge systems. | $46M | Q2 2025 | VSORA |
| Lumai | Builds optical processors for large language model inference in AI data centers. | $10M | Q2 2025 | IP Group plc |
| Positron AI | Designs energy-efficient chips and servers for large language model inference. | $23.5M | Q1 2025 | FinancialContent |
| Vertical Compute | Develops technology that closely combines memory and processing for AI computing. | $20.5M | Q1 2025 | imec |
| Tenstorrent | Builds AI processors, RISC-V chip designs, accelerator cards, and open software. | $693M | Q4 2024 | Tenstorrent |
| MatX | Designs processors for efficient large language model training and inference. | $80M | Q4 2024 | TechCrunch |
| Groq | Builds LPU processors and a platform for fast, low-cost AI inference. | $640M | Q3 2024 | Groq |
| Rebellions | Develops AI inference processors for data centers and sovereign AI systems. | $15M | Q3 2024 | Rebellions |
| Fractile | Builds in-memory processors for faster and less expensive large language model inference. | $15M | Q3 2024 | Data Center Dynamics |
| Rivos | Builds RISC-V processors and accelerators for data analytics and generative AI. | $250M | Q2 2024 | Rivos |
| Etched | Builds transformer-focused processors for training and running large language models. | $120M | Q2 2024 | Etched |
| DreamBig Semiconductor | Develops chiplet-based AI accelerator platforms with advanced high-bandwidth memory. | $75M | Q2 2024 | DreamBig Semiconductor |
| MatX | Designs processors for large language model training and other AI computing workloads. | $25M | Q2 2024 | Data Center Dynamics |
| Rebellions | Builds data-center AI inference processors for large language models. | $124M | Q1 2024 | Rebellions |
| Recogni | Builds low-power AI inference systems for generative AI and other demanding workloads. | $102M | Q1 2024 | PR Newswire |
| Taalas | Develops chips that place complete deep-learning models directly into silicon. | $50M | Q1 2024 | PR Newswire |
This market map, featured in our AI chip market deck, highlights top companies and startups in the AI chip market
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