All the fundraising deals in the AI chip market (from Q4 2024 to Q4 2025)
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The AI chip market saw explosive fundraising activity between Q4 2024 and Q4 2025, with twelve companies raising a combined total of $3.76 billion.
Q3 2025 emerged as the standout quarter, capturing over 60% of all funding as investors rushed to back inference-focused hardware platforms.
South Korean startups grabbed significant attention with three major deals, while photonics-based approaches secured real venture capital commitments alongside traditional silicon designs.
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Insights
- Q3 2025 captured $2.28 billion across six deals in the AI chip market, representing a 9,622% jump from Q1 2025 and signaling that investors shifted capital toward scaled inference capacity right as enterprise deployments accelerated.
- LLM inference accelerators dominated the AI chip market by attracting $1.49 billion across six companies, nearly 40% of total funding, while training-focused hardware captured just one mega-round, suggesting the market now prioritizes serving economics over new training silicon.
- Three South Korean AI chip startups (Rebellions, FuriosaAI, and HyperAccel) collectively raised $415 million in the AI chip market, revealing a concentrated national ecosystem push into data-center inference hardware.
- Fidelity Management & Research backed three different AI chip market players (Cerebras, Lightmatter, Tenstorrent), while Valor Equity Partners and Atreides Management each invested in multiple rounds, indicating institutional investors are building conviction portfolios across the compute infrastructure stack.
- The top three deals (Cerebras $1.1B, Groq $750M, Tenstorrent $693M) accounted for 68% of all AI chip market funding, showing extreme concentration even as smaller production-focused rounds helped six companies advance toward mass deployment.
- Photonics-based AI chip companies raised $407.5 million combined (Lightmatter $400M, Opticore $7.5M), proving that alternative computing architectures are securing real venture capital beyond proof-of-concept stages in the AI chip market.
- Average deal size across the AI chip market hit $313.8 million, but this metric masks a bifurcation where scale-up rounds (Cerebras, Groq) targeted global infrastructure expansion while production rounds (Rebellions, FuriosaAI) focused on manufacturing readiness.
- Positron raised two separate rounds totaling $75.1 million within seven months in the AI chip market, demonstrating that US-manufactured inference hardware is finding investor appetite despite competition from established GPU suppliers.
- The AI chip market saw zero deals below $2 million and eight deals above $50 million across five quarters, indicating that venture capital has shifted away from early-stage chip design toward companies with demonstrated technical milestones and customer traction.
- Korea Development Bank participated in all three South Korean AI chip market deals (FuriosaAI, HyperAccel, Rebellions), revealing coordinated state-backed investment to build domestic data-center accelerator capabilities.
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Summary table of the funding deals in the AI chip market (last 5 quarters)
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 and 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 or edge chips in phones, PCs, cars, and IoT devices.
You can also read our detailed analysis to understand how funding activity in the AI chip market has evolved over the last few 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 | Quarter | Source(s) |
|---|---|---|---|---|
| Lightmatter | Builds photonics hardware for extreme-scale AI data centers to move data at high bandwidth and low latency. | $400.0M | Q4 2024 | Business Wire |
| Tenstorrent | Designs AI processors and systems plus open software stack, and licenses AI and RISC-V IP. | $693.0M | Q4 2024 | Tenstorrent |
| HyperAccel | Builds LLM inference processors to lower data-center cost and power for serving models. | $40.0M | Q4 2024 | LinkedIn, Semiconductor Engineering |
| Positron | Builds energy-efficient AI inference hardware designed and manufactured in the United States. | $23.5M | Q1 2025 | Business Wire |
| VSORA | Designs ultra-high-performance AI inference chips as a Europe-based alternative for inference at scale. | $46.0M | Q2 2025 | VSORA |
| FuriosaAI | Develops data-center AI inference accelerators optimized around its architecture and software stack. | $125.0M | Q3 2025 | Semiconductor Engineering |
| Positron | Ships inference-optimized data-center systems with a roadmap toward next-generation custom silicon. | $51.6M | Q3 2025 | Business Wire |
| Opticore | Builds photonic computing chips to improve energy efficiency and density for AI workloads. | $7.5M | Q3 2025 | ACCESS Newswire |
| Groq | Builds inference-first chip architecture and deploys it via GroqCloud and on-premises infrastructure. | $750.0M | Q3 2025 | Groq |
| Rebellions | Designs AI processors for large-scale inference including chiplet-based SoCs with high-bandwidth memory. | $250.0M | Q3 2025 | Semiconductor Engineering |
| Cerebras Systems | Builds wafer-scale AI compute systems to run training and high-throughput inference workloads. | $1,100.0M | Q3 2025 | Cerebras |
| d-Matrix | Builds a full-stack data-center inference platform anchored on Corsair inference accelerators. | $275.0M | Q4 2025 | d-Matrix |
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How has funding activity in the AI chip market changed over time?
Q3 2025 was by far the most active quarter in the AI chip market, capturing $2.28 billion across six deals, driven by three mega-rounds (Cerebras $1.1B, Groq $750M, Rebellions $250M) that accounted for 91.9% of quarterly funding.
Q1 2025 was the quietest quarter with just one deal (Positron $23.5M), representing a low point before fundraising activity surged in the following quarters.
Funding in the AI chip market jumped from $275.0 million in Q4 2025 to a peak of $2.28 billion in Q3 2025, while year-over-year growth between Q4 2024 ($1.13B) and Q4 2025 ($275M) shows a 75.7% decline, though this masks mid-year momentum.
If you exclude the top two deals per quarter, the AI chip market shows more consistent baseline activity between $100 million and $400 million each quarter. This suggests a healthy mid-tier funding environment beyond the headline mega-rounds, with multiple companies securing production-stage capital in the $40 million to $125 million range.
| Quarter | Number of deals | Total raised ($) | Comment |
|---|---|---|---|
| Q4 2024 | 3 | $1,133.0M | Tenstorrent and Lightmatter mega-rounds kicked off strong AI chip market fundraising momentum. |
| Q1 2025 | 1 | $23.5M | Slowest quarter with only Positron securing seed-stage funding for US-manufactured inference hardware. |
| Q2 2025 | 1 | $46.0M | VSORA emerged as Europe's AI chip market contender with production-stage funding. |
| Q3 2025 | 6 | $2,284.1M | Explosive quarter driven by Cerebras, Groq mega-rounds plus four production-focused AI chip deals. |
| Q4 2025 | 1 | $275.0M | d-Matrix closed significant Series C to advance global inference platform deployment. |
| All quarters | 12 | $3,761.6M | Total AI chip market funding concentrated heavily in Q3 and Q4 2024. |
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Which startups in the AI chip market raised the largest rounds over the last months?
These startups raised the most recently in the AI chip market:
- Cerebras Systems raised $1.1 billion in Series G to expand its wafer-scale AI processor portfolio and scale US manufacturing capacity for training and inference systems.
- Groq raised $750 million to scale global inference infrastructure with its LPU architecture as enterprise demand for fast, low-latency AI model serving surged.
- Tenstorrent raised over $693 million in Series D to build AI systems and clouds while scaling its open-source software stack and global design centers.
- Lightmatter raised $400 million in Series D to prepare its photonics platform for mass deployment in partner data centers targeting extreme-scale AI infrastructure.
- d-Matrix raised $275 million in Series C to accelerate its Corsair inference accelerator roadmap and support multiple large-scale data-center deployments globally.
- Rebellions raised $250 million in Series C to accelerate mass production of its chiplet-based AI processors optimized for large-scale server-side inference.
- FuriosaAI raised $125 million in Series C to accelerate mass production of its LLM accelerator card targeting data-center inference deployments.
- Positron raised $51.6 million in Series A to deploy its Atlas inference systems and accelerate second-generation custom silicon development for 2026.
- VSORA raised $46 million to move its Jotunn8 chip into production as Europe's alternative for ultra-high-performance AI inference at scale.
- HyperAccel raised $40 million in Series A to advance its LPU roadmap and manufacturing plans for LLM inference deployments.
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Is the AI chip market shifting toward smaller or bigger deals?
The average deal size across the AI chip market over the last four quarters was $313.8 million, reflecting the capital-intensive nature of bringing AI accelerators from design to mass production and deployment.
Breaking down by quarter, the AI chip market saw average deal sizes of $377.7 million in Q4 2024, $23.5 million in Q1 2025, $46.0 million in Q2 2025, $380.7 million in Q3 2025, and $275.0 million in Q4 2025. This volatility reflects how a single mega-round can dramatically shift quarterly averages in the AI chip market, with Q3 2025 boosted by the Cerebras and Groq rounds.
If you exclude the top deal each quarter, the median round size in the AI chip market settles around $150 million to $250 million, suggesting a consistent tier of production-stage companies securing substantial growth capital beyond the mega-round outliers.
| Quarter | Number of deals | Average deal size | Deals below $2M | Deals above $50M |
|---|---|---|---|---|
| Q4 2024 | 3 | $377.7M | 0 | 2 |
| Q1 2025 | 1 | $23.5M | 0 | 0 |
| Q2 2025 | 1 | $46.0M | 0 | 0 |
| Q3 2025 | 6 | $380.7M | 0 | 5 |
| Q4 2025 | 1 | $275.0M | 0 | 1 |
| All quarters | 12 | $313.8M | 0 | 8 |
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How concentrated was funding activity in the AI chip market?
Funding in the AI chip market was extremely concentrated, with the single largest deal each quarter capturing between 48% and 100% of total quarterly capital. Q3 2025 showed the most balanced distribution, where Cerebras alone took 48.2% of the quarter's funding, while the remaining five deals shared the rest.
Looking at the top three deals per quarter, concentration was overwhelming in Q4 2024, Q1 2025, Q2 2025, and Q4 2025 (all hitting 100% since there were three or fewer total deals), while Q3 2025's top three deals still captured 91.9% of the $2.28 billion raised that quarter in the AI chip market.
| Quarter | Number of deals | % by Top 1 | % by Top 3 | % by Top 10 |
|---|---|---|---|---|
| Q4 2024 | 3 | 61.2% | 100.0% | 100.0% |
| Q1 2025 | 1 | 100.0% | 100.0% | 100.0% |
| Q2 2025 | 1 | 100.0% | 100.0% | 100.0% |
| Q3 2025 | 6 | 48.2% | 91.9% | 100.0% |
| Q4 2025 | 1 | 100.0% | 100.0% | 100.0% |
| All quarters | 12 | 29.2% | 67.9% | 100.0% |
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Which categories in the AI chip market received the most funding?
LLM inference accelerators captured $1.49 billion (39.5% of total AI chip market funding) across six deals, making inference optimization the clear winner as investors bet on serving economics over training infrastructure. Companies like Groq, d-Matrix, FuriosaAI, Rebellions, VSORA, and HyperAccel all focused on lowering cost-per-token and latency for model deployment, reflecting market demand for efficient AI model serving at scale.
Training and inference systems captured $1.10 billion (29.2%) through a single mega-round from Cerebras Systems, whose wafer-scale engine addresses both training and high-throughput inference workloads. This concentration in one company shows that while training hardware still attracts massive capital, the AI chip market sees fewer differentiated approaches compared to the inference category.
AI processor IP and systems received $693 million (18.4%) from Tenstorrent alone, which combines custom silicon design with RISC-V IP licensing and open-source software. Tenstorrent's approach of offering both chips and customizable IP represents a different business model in the AI chip market, appealing to customers who want to build or customize their own accelerators.
| Category name | Number of deals | Total raised ($) | Startups and amount |
|---|---|---|---|
| LLM inference accelerators | 6 | $1,486.0M | Groq ($750.0M), d-Matrix ($275.0M), Rebellions ($250.0M), FuriosaAI ($125.0M), VSORA ($46.0M), HyperAccel ($40.0M) |
| Training and inference systems | 1 | $1,100.0M | Cerebras Systems ($1,100.0M) |
| AI processor IP and systems | 1 | $693.0M | Tenstorrent ($693.0M) |
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Who are the biggest investors in the AI chip market?
Fidelity Management & Research emerged as the most active investor in the AI chip market with three deals (Cerebras Systems, Lightmatter, Tenstorrent) totaling $2.19 billion in aggregate funding, signaling a strong institutional conviction across different technical approaches from photonics to wafer-scale to open IP platforms.
Korea Development Bank backed three South Korean AI chip startups (FuriosaAI, HyperAccel, Rebellions) representing $415 million in total funding, demonstrating coordinated state-backed investment to build domestic data-center accelerator capabilities.
Valor Equity Partners participated in three deals (Cerebras Systems twice with Positron) totaling $1.18 billion, focusing on companies with US-based manufacturing and infrastructure deployment strategies in the AI chip market.
Atreides Management invested in three rounds (Cerebras Systems and both Positron rounds) aggregating to $1.18 billion, concentrating capital on inference-optimized hardware platforms.
Flume Ventures backed Positron in both its initial funding and Series A rounds, representing $75.1 million in total funding across the two deals.
Resilience Reserve participated in both Positron fundraising rounds for a combined $75.1 million, supporting the company's US-manufactured inference hardware strategy.
1789 Capital invested in two major AI chip market deals (Cerebras Systems and Groq) totaling $1.85 billion, backing both training-inference systems and pure inference platforms.
Samsung Securities led Tenstorrent's $693 million Series D, representing the largest single-investor involvement in the dataset.
AFW Partners co-led Tenstorrent's $693 million Series D alongside Samsung Securities, demonstrating strong conviction in open-source AI compute platforms.
XTX Markets participated in Tenstorrent's $693 million Series D, supporting the company's vision for customizable AI processor IP and systems.
Disclaimer: this investor list may be incomplete; we focus on publicly disclosed lead and prominent recurring investors, so some frequent minority participants may be underrepresented. "Total funded" does not represent the amount personally invested by an individual investor. Instead, it refers to the aggregate amount raised across all fundraising rounds in which the investor participated.
| Investor | Number of deals | Total funded ($) | Startups |
|---|---|---|---|
| Fidelity Management & Research | 3 | $2,193.0M | Cerebras Systems, Lightmatter, Tenstorrent |
| Korea Development Bank | 3 | $415.0M | FuriosaAI, HyperAccel, Rebellions |
| Valor Equity Partners | 3 | $1,175.1M | Cerebras Systems, Positron |
| Atreides Management | 3 | $1,175.1M | Cerebras Systems, Positron |
| Flume Ventures | 2 | $75.1M | Positron |
| Resilience Reserve | 2 | $75.1M | Positron |
| 1789 Capital | 2 | $1,850.0M | Cerebras Systems, Groq |
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