What are the latest funding news in the AI infrastructure market? (October 2026)
Every funding round, every investor, and who is really making money from AI infrastructure, in one document. Have a look ↓
AI infrastructure fundraising accelerated sharply in September 2026, with capital flowing into GPU clouds, AI data centers, accelerators and high-speed networking.
The 12 most recent qualifying deals represent about $9.9 billion of announced financing, although several transactions include debt, convertible notes or long-term infrastructure commitments rather than only venture equity.
The funding mix also shows that investors are financing the full AI compute stack, from physical data centers and GPU capacity to optical links and networking fabrics that keep accelerators working efficiently.
And if you want to better understand this new industry, you can get our report on AI infrastructure funding, valuations and who's ahead.
Insights
- The 12 latest AI infrastructure deals represent about $9.9 billion of financing, showing how capital-intensive the compute, data center and networking layers supporting modern AI have become.
- Crusoe and Nscale alone accounted for roughly $7.3 billion, or more than 70% of the total financing in this group, highlighting the enormous capital needs of vertically integrated AI clouds.
- Three transactions exceeded $1 billion: Crusoe at $3.9 billion, Nscale at $3.36 billion and Helix at $1 billion, showing that AI infrastructure increasingly attracts infrastructure-scale capital rather than traditional venture checks.
- Five of the 12 companies primarily sell AI cloud or dedicated compute infrastructure, making GPU capacity and cluster access the largest product category in this latest funding cohort.
- Four companies, CScale, PicoJool, Delos Data and Cornelis Networks, are focused mainly on networking or interconnects, reflecting how data movement has become a critical bottleneck inside large AI clusters.
- The funding is not concentrated only in mature companies: Expanse raised $5.3 million at seed while Euclyd secured roughly $231 million at the pre-product stage, showing unusually wide capital requirements across AI infrastructure.
- Seven of the 12 qualifying transactions were announced between September 22 and September 30, representing roughly $5.5 billion of financing in just nine days.
- Debt and alternative financing are becoming important alongside venture equity: GMI Cloud combined Series B equity with a credit facility, while Nscale used pre-IPO convertible notes to fund infrastructure expansion.
Written by the New Market Pitch teamWe track new markets so founders and investors can move faster. About us
Summary table of the latest funding deals in the AI infrastructure market as of October 2026
We define the AI infrastructure market as the technologies and services required to run AI training and inference reliably at scale.
We include AI compute, including accelerators and servers, AI-optimized cloud and cluster platforms, and the networking and storage required to move and serve model data and outputs.
We exclude end-user AI applications, foundation-model API services as a model product, and general-purpose data, analytics and MLOps tools that are not necessary to operate the compute-and-cluster layer.
| Name | When | Amount in $ | Round Type | Category |
|---|---|---|---|---|
| Cornelis Networks | 14 September 2026 | $205M | Growth financing | AI & HPC networking fabric |
| Euclyd | 15 September 2026 | ~$231M | Series A | AI accelerators & rack-scale compute |
| Delos Data | 15 September 2026 | $100M+ | Venture financing | AI networking silicon & inference infrastructure |
| Expanse | 16 September 2026 | $5.3M | Seed | AI cluster resource infrastructure |
| Crusoe | 17 September 2026 | $3.9B | Series F | AI cloud & data center infrastructure |
| Verda | 22 September 2026 | $189M | Series B & additional funding | AI cloud & GPU compute |
| Go.AI | 22 September 2026 | $85M | Series A | On-premises AI compute & infrastructure |
| PicoJool | 24 September 2026 | $27.5M | Series A | AI optical networking & data center connectivity |
| Nscale | 25 September 2026 | $3.36B | Pre-IPO convertible notes | AI neocloud & GPU infrastructure |
| Helix Digital Infrastructure | 29 September 2026 | $1.0B | Strategic capital commitment | Hyperscale AI infrastructure & data centers |
| GMI Cloud | 30 September 2026 | $668M | Series B & credit facility | GPU neocloud & AI compute clusters |
| CScale | 30 September 2026 | $145M | Series C | AI optical scale-up interconnect |
All the latest funding deals in the AI infrastructure market as of October 2026
GMI Cloud raised $668M in late September 2026 to expand its AI compute infrastructure.
When was it?
GMI Cloud announced the financing on September 30, 2026.
Who are they?
GMI Cloud operates an AI-focused cloud providing dedicated NVIDIA GPU clusters and inference infrastructure for large AI workloads.
Geographical focus?
GMI Cloud is expanding primarily across the United States, Taiwan and the wider Asia-Pacific region.
Why do we include them in the AI infrastructure market?
GMI Cloud directly provides the GPU compute capacity required for AI training and inference, placing it in the AI neocloud and dedicated cluster category.
What is the company stage?
GMI Cloud is in the growth stage, with substantial contracted revenue and an expanding international GPU footprint.
How much did they raise?
GMI Cloud secured $668 million in total new financing, including $223 million of equity and a $445 million credit facility.
What round is it?
The transaction combined a Series B equity round with a separate credit facility.
Why did they raise?
GMI Cloud raised the capital to add GPU capacity, expand inference services and support further growth in the United States and Asia.
This is just a preview page. Don’t worry if a number looks old: the report gets refreshed, and you’ll always get the latest version.
CScale raised $145M in September 2026 as it emerged from stealth with its AI interconnect technology.
When was it?
CScale announced the Series C financing on September 30, 2026.
Who are they?
CScale develops optical interconnect technology designed to connect thousands of AI accelerators while limiting disruption from individual link failures.
Geographical focus?
CScale is based in Palo Alto and targets hyperscale AI infrastructure customers globally.
Why do we include them in the AI infrastructure market?
CScale provides the scale-up networking layer that allows large groups of AI accelerators to operate together efficiently.
What is the company stage?
CScale is moving from deep product development into early commercialization after emerging from stealth.
How much did they raise?
CScale raised $145 million in the latest financing.
What round is it?
The transaction was a Series C round.
Why did they raise?
CScale raised the funding to accelerate development and commercialization of its optical interconnect for increasingly large AI clusters.
Helix Digital Infrastructure secured a $1B Samsung commitment in September 2026 for hyperscale AI infrastructure.
When was it?
The Samsung investment in Helix Digital Infrastructure was announced on September 29, 2026.
Who are they?
Helix Digital Infrastructure develops integrated hyperscale infrastructure combining data centers, power systems and connectivity for large computing deployments.
Geographical focus?
Helix Digital Infrastructure is U.S.-based but is designed to serve hyperscale customers and infrastructure projects globally.
Why do we include them in the AI infrastructure market?
Helix Digital Infrastructure provides the physical data center and connectivity layer needed to deploy large-scale AI compute capacity.
What is the company stage?
Helix Digital Infrastructure is in an early infrastructure build-out stage after launching in 2026 with significant institutional capital.
How much did they raise?
Helix Digital Infrastructure received a new $1 billion capital commitment from Samsung group companies.
What round is it?
The transaction is a strategic long-term capital commitment rather than a conventional venture series.
Why did they raise?
Helix Digital Infrastructure secured the additional capital to finance more data centers, power capacity and connectivity for hyperscale AI customers.
Nscale secured $3.36B in September 2026 ahead of its planned public listing.
When was it?
Nscale announced the financing on September 25, 2026.
Who are they?
Nscale operates a vertically integrated AI cloud spanning GPU clusters, cloud software, networking, data centers and supporting infrastructure.
Geographical focus?
Nscale is headquartered in the United Kingdom and is building AI infrastructure across Europe and the United States.
Why do we include them in the AI infrastructure market?
Nscale directly provides the GPU compute, cluster and data center infrastructure required to train and run large AI models.
What is the company stage?
Nscale is a late-growth company preparing for an IPO while rapidly expanding its physical AI infrastructure footprint.
How much did they raise?
Nscale secured $3.36 billion in new financing.
What round is it?
The financing was structured as pre-IPO convertible loan notes.
Why did they raise?
Nscale raised the capital to expand GPU clusters, liquid-cooled data centers, power infrastructure and its full-stack AI cloud.
PicoJool raised $27.5M in September 2026 to scale optical connectivity for AI clusters.
When was it?
PicoJool announced the funding on September 24, 2026.
Who are they?
PicoJool develops high-speed VCSEL lasers and optical links that move data between processors inside AI data centers.
Geographical focus?
PicoJool operates in the United States and Taiwan while targeting hyperscalers and data center customers globally.
Why do we include them in the AI infrastructure market?
PicoJool supplies optical connectivity components designed specifically for the high-bandwidth links required inside AI compute clusters.
What is the company stage?
PicoJool is at an early commercialization stage and is moving its technology into qualification, manufacturing and customer deployments.
How much did they raise?
PicoJool raised $27.5 million.
What round is it?
The financing was a Series A round.
Why did they raise?
PicoJool raised the funding to expand engineering and manufacturing capacity in the United States and Taiwan and bring its optical products to market.
Verda raised $189M in September 2026 to expand its full-stack AI cloud.
When was it?
Verda announced the new financing on September 22, 2026.
Who are they?
Verda provides a full-stack AI cloud with GPU compute, infrastructure and platform services for teams building and running AI workloads.
Geographical focus?
Verda is headquartered in Finland and is expanding its AI cloud across Europe, the United States and Asia.
Why do we include them in the AI infrastructure market?
Verda directly provides AI-optimized GPU compute and cloud infrastructure, placing it in the AI cloud and GPU compute category.
What is the company stage?
Verda is in the growth stage with production workloads already running on its infrastructure and significant capital committed to expansion.
How much did they raise?
Verda raised $189 million, equivalent to about €163 million at the time of the announcement.
What round is it?
The financing included an oversubscribed Series B alongside additional investment.
Why did they raise?
Verda raised the capital to increase compute capacity and continue developing the different layers of its AI cloud platform.
Go.AI raised $85M in September 2026 to expand its on-premises AI infrastructure platform.
When was it?
Go.AI announced the funding on September 22, 2026.
Who are they?
Go.AI provides hardware and infrastructure software that let regulated organizations run AI workloads locally instead of relying on a public cloud.
Geographical focus?
Go.AI is focused primarily on U.S. customers in regulated sectors such as banking, healthcare, aerospace and manufacturing.
Why do we include them in the AI infrastructure market?
Go.AI sells the on-premises hardware and compute operating layer required to deploy AI workloads inside customer infrastructure.
What is the company stage?
Go.AI is at the profitable growth stage, with established customers and rapidly increasing commercial usage.
How much did they raise?
Go.AI raised $85 million in the latest transaction.
What round is it?
The financing was a Series A round.
Why did they raise?
Go.AI raised the funding to expand engineering, develop its infrastructure software and hardware products, and broaden commercial distribution.
Crusoe raised $3.9B in September 2026 to expand its vertically integrated AI infrastructure platform.
When was it?
Crusoe announced the financing on September 17, 2026.
Who are they?
Crusoe builds AI infrastructure spanning data center capacity, energy systems, GPU-based AI factories and cloud compute.
Geographical focus?
Crusoe is U.S.-based and is building infrastructure for customers operating at global hyperscale.
Why do we include them in the AI infrastructure market?
Crusoe provides both the physical facilities and GPU cloud capacity required to train and serve large AI models.
What is the company stage?
Crusoe is in late-stage growth and is scaling hyperscale AI infrastructure backed by large contracted customer demand.
How much did they raise?
Crusoe raised $3.9 billion at a reported $30.9 billion post-money valuation.
What round is it?
The financing was a Series F round.
Why did they raise?
Crusoe raised the capital to build additional large AI campuses, modular AI factories and cloud compute capacity.
Expanse raised $5.3M in September 2026 to improve resource allocation across expensive AI compute clusters.
When was it?
Expanse announced the seed financing on September 16, 2026.
Who are they?
Expanse predicts the GPU, CPU, memory and runtime requirements of compute workloads before they execute on large clusters.
Geographical focus?
Expanse has U.S. and U.K. roots and targets AI infrastructure, research and high-performance computing customers.
Why do we include them in the AI infrastructure market?
Expanse directly manages resource allocation and utilization inside GPU and HPC clusters, placing it in the AI cluster infrastructure category.
What is the company stage?
Expanse is at the seed and early product-market-fit stage, with its technology already being deployed on real compute clusters.
How much did they raise?
Expanse raised $5.3 million.
What round is it?
The financing was a seed round.
Why did they raise?
Expanse raised the funding to grow engineering, improve its resource prediction technology and deploy the platform across more GPU and HPC clusters.
Euclyd raised roughly $231M in September 2026 to develop a new AI inference computing architecture.
When was it?
Euclyd announced the financing on September 15, 2026.
Who are they?
Euclyd is developing specialized AI inference silicon, memory architecture and complete rack-scale systems for serving large foundation models.
Geographical focus?
Euclyd is headquartered in Eindhoven in the Netherlands and targets the global AI infrastructure market.
Why do we include them in the AI infrastructure market?
Euclyd is building purpose-designed AI accelerators and systems, placing it directly in the inference hardware and rack-scale compute category.
What is the company stage?
Euclyd is still in the pre-product deep-tech development stage, with commercial hardware planned for a later deployment cycle.
How much did they raise?
Euclyd raised more than €200 million, approximately $231 million at the time of the announcement.
What round is it?
The financing was a Series A round.
Why did they raise?
Euclyd raised the capital to expand engineering and accelerate development of its silicon, memory and complete AI computing systems.
Delos Data raised more than $100M in September 2026 to commercialize AI inference and networking infrastructure.
When was it?
Delos Data announced the financing on September 15, 2026.
Who are they?
Delos Data develops networking technology and server systems designed to move data efficiently between GPUs and other accelerators in AI clusters.
Geographical focus?
Delos Data is U.S.-based and targets hyperscalers and other large AI infrastructure customers globally.
Why do we include them in the AI infrastructure market?
Delos Data addresses the data movement bottleneck inside AI compute clusters through networking hardware, software and inference systems.
What is the company stage?
Delos Data is at an early commercial stage after introducing its first AI infrastructure products in 2026.
How much did they raise?
Delos Data raised more than $100 million.
What round is it?
The company disclosed the transaction as venture financing without publicly confirming a formal series label.
Why did they raise?
Delos Data raised the capital to expand hardware and software engineering and accelerate commercialization of its AI infrastructure products.
Cornelis Networks raised $205M in September 2026 to scale its AI and HPC networking technology.
When was it?
Cornelis Networks announced the funding on September 14, 2026.
Who are they?
Cornelis Networks builds high-performance networking fabrics, switches, adapters and software that connect accelerators inside large AI and HPC systems.
Geographical focus?
Cornelis Networks is U.S.-based and sells networking infrastructure to AI and high-performance computing customers globally.
Why do we include them in the AI infrastructure market?
Cornelis Networks provides the networking fabric that moves data between accelerators and prevents expensive AI compute from sitting idle.
What is the company stage?
Cornelis Networks is in commercial growth, with current products already shipping and its next generation moving toward broader customer deployment.
How much did they raise?
Cornelis Networks raised $205 million.
What round is it?
The company disclosed the transaction as a growth financing without attaching a formal series label to the announcement.
Why did they raise?
Cornelis Networks raised the funding to scale production and bring its next generation of scale-up and scale-out networking products to market.
Written by the New Market Pitch teamWe track new markets so founders and investors can move faster. About us
