All the funding deals in the AI infrastructure market
Last updated: 13 July 2026
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The AI infrastructure market includes the computing, cloud, networking, storage, and semiconductor technologies needed to operate artificial intelligence systems at scale.
We conducted deep research and collected 79 funding deals in the AI infrastructure market between Q1 2024 and Q3 2026.
We refresh this AI infrastructure market page very often to add new fundraising deals and update existing information.
And if you want to better understand this new industry, you should get our beautiful slides covering the AI infrastructure market.
Insights
- The 79 AI infrastructure funding deals in this list represent almost $24 billion in disclosed financing between Q1 2024 and Q3 2026.
- AI infrastructure funding increased from about $6.6 billion in 2024 to $7.6 billion in 2025. The total reached $9.8 billion during the first three quarters of 2026.
- Large AI cloud and data-center companies attracted the biggest rounds. Nscale and CoreWeave each announced $2 billion transactions during Q1 2026.
- Funding is moving beyond GPUs. Investors are also backing optical interconnects, networking fabrics, memory systems, power delivery, and advanced semiconductor packaging.
- AI inference infrastructure became an important investment theme. Companies such as Groq, Baseten, Fireworks AI, Positron AI, and Rebellions raised capital to serve production workloads.
- Several AI infrastructure companies raised multiple rounds during the period. Lambda, Nscale, Rebellions, TensorWave, Baseten, and Positron AI returned to the market for additional capital.
- AI infrastructure funding became more concentrated in large rounds during 2025 and 2026. Billion-dollar financings represented a significant share of the total capital raised.
- Alternative accelerator companies continued to attract investors. Cerebras Systems, Tenstorrent, MatX, SambaNova Systems, Etched, and d-Matrix are developing alternatives to conventional GPU infrastructure.
- Optical and photonic technologies became a clear AI infrastructure category. Lightmatter, Celestial AI, Ayar Labs, Xscape Photonics, Optalysys, and Neurophos all received funding.
- Sovereign and regional AI cloud capacity also attracted investment. NexGen Cloud, DataCrunch, Nava, PaleBlueDot AI, and Nscale are expanding infrastructure outside the largest US cloud platforms.
This chart, included in our AI infrastructure market deck, shows annual VC investment in AI infrastructure startups
Summary table of the funding deals for the AI infrastructure market since 2024
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 (accelerators and servers), AI-optimized cloud/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.
We focused exclusively on pure players, defined as companies with at least 70–80% of their business directly tied to the AI infrastructure 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 infrastructure market has evolved recently.
If you want a longer-term view, we also have a study of how funding activity in the AI infrastructure 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 infrastructure market.
| Name | What they do | Amount in $ | Quarter | Source(s) |
|---|---|---|---|---|
| OXMIQ Labs | Licenses GPU and AI architecture for custom chips and sovereign computing systems. | $35M | Q3 2026 | AOL |
| Etched | Builds AI inference clusters using chips designed specifically for transformer models. | $800M | Q2 2026 | Business Insider |
| RunPod | Provides cloud infrastructure for AI training, fine-tuning, inference, and multi-node workloads. | $100M | Q2 2026 | PR Newswire |
| Hydra Host | Connects AI developers with GPU capacity from data-center operators and infrastructure investors. | $100M | Q2 2026 | Hydra Host |
| TensorWave | Provides AMD-powered cloud infrastructure for demanding and memory-intensive AI workloads. | $350M | Q2 2026 | TensorWave |
| DriveNets | Builds large Ethernet networks for AI clusters using different types of computing hardware. | $410M | Q2 2026 | DriveNets |
| Fractile | Develops AI inference chips and systems designed to reduce latency and computing costs. | $220M | Q2 2026 | Fractile |
| Panthalassa | Develops ocean-powered computing nodes designed to operate AI inference infrastructure at sea. | $140M | Q2 2026 | Business Wire |
| Syenta | Develops chip-to-chip connectivity technology for advanced AI processors and semiconductor packaging. | $26M | Q2 2026 | Business Wire |
| Parasail | Provides distributed GPU infrastructure for AI inference, training, and agent workloads. | $32M | Q2 2026 | PR Newswire |
| Nava | Provides GPU computing and full-stack AI cloud infrastructure across the Asia-Pacific region. | $22M | Q2 2026 | Data Center Dynamics |
| Rebellions | Builds AI inference chips and rack-scale systems for data-center workloads. | $400M | Q1 2026 | Rebellions |
| EPIC Microsystems | Develops vertical power-delivery technology for AI processors and data-center computing systems. | $21M | Q1 2026 | Intel Capital |
| Gimlet Labs | Runs AI inference workloads across different chips through a unified cloud platform. | $80M | Q1 2026 | Gimlet Labs |
| Kandou AI | Develops energy-efficient connectivity systems that reduce AI memory and data-movement bottlenecks. | $225M | Q1 2026 | Kandou AI |
| Nscale | Builds AI data centers, GPU capacity, networking, storage, and orchestration infrastructure. | $2.0B | Q1 2026 | Nscale |
| SambaNova Systems | Builds AI inference chips, systems, and cloud infrastructure using its RDU architecture. | $350M | Q1 2026 | Business Wire |
| MatX | Designs AI chips optimized for large language model training and inference. | $500M | Q1 2026 | Data Center Dynamics |
| Positron AI | Builds energy-efficient AI inference chips and complete hardware systems. | $230M | Q1 2026 | Business Wire |
| Cerebras Systems | Builds wafer-scale processors, systems, and cloud infrastructure for AI training and inference. | $1.0B | Q1 2026 | Cerebras Systems |
| PaleBlueDot AI | Deploys high-performance GPU infrastructure across several international cloud regions. | $150M | Q1 2026 | PaleBlueDot AI |
| CoreWeave | Provides specialized GPU cloud infrastructure and builds large AI computing facilities. | $2.0B | Q1 2026 | CoreWeave |
| Baseten | Provides infrastructure for deploying and scaling AI models in production. | $300M | Q1 2026 | Baseten |
| Optalysys | Develops photonic chips for AI computing, secure processing, and cloud workloads. | $28.75M | Q1 2026 | Optalysys |
| Neurophos | Develops photonic AI chips for high-performance data-center inference workloads. | $110M | Q1 2026 | Neurophos |
| Upscale AI | Builds open networking infrastructure for large AI clusters using different accelerators. | $200M | Q1 2026 | PR Newswire |
| Fireworks AI | Provides cloud infrastructure for running AI inference in production applications. | $250M | Q4 2025 | Fireworks AI |
| Celero Communications | Develops optical connectivity technology for high-capacity AI infrastructure networks. | $100M | Q4 2025 | Celero Communications |
| d-Matrix | Builds computing platforms designed for generative AI inference in data centers. | $275M | Q4 2025 | d-Matrix |
| Majestic Labs | Builds AI server systems designed to overcome memory limits in large workloads. | $100M | Q4 2025 | Business Wire |
| Lambda | Builds GPU cloud clusters and large AI computing facilities. | $1.5B | Q4 2025 | Lambda |
| Rebellions | Develops AI inference chips and chiplet-based systems for data centers. | $250M | Q3 2025 | Rebellions |
| Cerebras Systems | Builds wafer-scale computing systems for AI training and inference. | $1.1B | Q3 2025 | Cerebras Systems |
| Nscale | Builds AI cloud infrastructure, data centers, networking, storage, and managed software. | $1.1B | Q3 2025 | Nscale |
| Modular | Provides a unified software layer for running AI workloads across different chips. | $250M | Q3 2025 | Modular |
| Upscale AI | Builds high-performance networking systems based on open AI infrastructure standards. | $100M | Q3 2025 | PR Newswire |
| Groq | Builds AI inference chips and infrastructure based on its LPU architecture. | $750M | Q3 2025 | TechCrunch |
| Baseten | Provides AI inference infrastructure for products serving large numbers of users. | $150M | Q3 2025 | Baseten |
| fal | Provides real-time AI inference infrastructure for image, video, audio, and 3D models. | $125M | Q3 2025 | Business Wire |
| Positron AI | Builds hardware accelerators optimized for efficient AI inference. | $51.6M | Q3 2025 | Business Wire |
| TensorWave | Provides AMD-powered cloud infrastructure and GPU clusters for AI workloads. | $100M | Q2 2025 | Business Wire |
| NexGen Cloud | Provides NVIDIA-powered sovereign AI cloud and GPU infrastructure in Europe. | $45M | Q2 2025 | NexGen Cloud |
| Retym | Develops semiconductor connectivity technology for high-capacity AI infrastructure networks. | $75M | Q1 2025 | Retym |
| Nexthop AI | Builds networking infrastructure for large AI cloud and hyperscale deployments. | $110M | Q1 2025 | Nexthop AI |
| Celestial AI | Develops optical connections between processors, memory, and networking equipment. | $250M | Q1 2025 | Business Wire |
| Together AI | Provides cloud infrastructure for AI inference, fine-tuning, training, and GPU clusters. | $305M | Q1 2025 | Together AI |
| Lambda | Provides GPU cloud, AI superclusters, and infrastructure for training and inference. | $480M | Q1 2025 | Lambda |
| EnCharge AI | Builds analog in-memory computing chips for efficient AI inference. | $100M | Q1 2025 | EnCharge AI |
| Positron AI | Designs energy-efficient AI inference chips and hardware systems in the United States. | $23.5M | Q1 2025 | Business Wire |
| Vultr | Provides cloud infrastructure, GPU capacity, and computing services for AI workloads. | $333M | Q4 2024 | Business Wire |
| Crusoe | Builds AI cloud infrastructure and data centers powered by lower-carbon energy sources. | $600M | Q4 2024 | Crusoe |
| Ayar Labs | Develops optical connections for moving data inside large AI computing systems. | $155M | Q4 2024 | Ayar Labs |
| Nscale | Provides GPU cloud and vertically integrated infrastructure designed for AI workloads. | $155M | Q4 2024 | Nscale |
| Tenstorrent | Builds AI processors, RISC-V technology, and computers for training and inference. | $693M | Q4 2024 | Tenstorrent |
| Nebius | Builds full-stack AI cloud infrastructure, GPU clusters, and data-center capacity. | $700M | Q4 2024 | Nebius |
| MatX | Designs chips optimized for large language model workloads. | $80M | Q4 2024 | TechCrunch |
| Enfabrica | Builds networking chips and SuperNICs for large GPU computing clusters. | $115M | Q4 2024 | Business Wire |
| GMI Cloud | Provides GPU cloud infrastructure for companies building and running AI applications. | $15M | Q4 2024 | PR Newswire |
| DataCrunch | Provides European GPU cloud capacity for AI companies and research teams. | $13M | Q4 2024 | Tech.eu |
| Lightmatter | Develops photonic computing and optical connections for next-generation AI data centers. | $400M | Q4 2024 | Lightmatter |
| Xscape Photonics | Builds programmable optical technology for moving data inside AI data centers. | $44M | Q4 2024 | Xscape Photonics |
| TensorWave | Provides AMD-based GPU cloud infrastructure for AI training, fine-tuning, and inference. | $43M | Q4 2024 | TensorWave |
| Groq | Builds LPU chips and infrastructure for fast AI inference. | $640M | Q3 2024 | Groq |
| Fireworks AI | Provides infrastructure for deploying and running generative AI models in production. | $52M | Q3 2024 | Fireworks AI |
| Axelera AI | Builds AI accelerator hardware for generative AI and computer vision inference. | $68M | Q3 2024 | Axelera AI |
| Etched | Develops a specialized chip for transformer inference and large language model workloads. | $120M | Q2 2024 | Data Center Dynamics |
| WEKA | Provides high-performance data storage for AI and GPU-intensive workloads. | $140M | Q2 2024 | PR Newswire |
| RunPod | Provides distributed GPU cloud and serverless infrastructure for AI workloads. | $20M | Q2 2024 | Business Wire |
| CoreWeave | Provides specialized GPU cloud infrastructure for AI training and inference. | $1.1B | Q2 2024 | CoreWeave |
| Blaize | Builds programmable processors and software for edge AI inference. | $106M | Q2 2024 | Business Wire |
| FlexAI | Helps AI workloads run across different types of computing accelerators. | $30M | Q2 2024 | Yahoo Finance |
| SiMa.ai | Builds AI chips for embedded systems, edge inference, and multimodal applications. | $70M | Q2 2024 | SiMa.ai |
| Celestial AI | Builds optical connections between memory and computing systems for AI infrastructure. | $175M | Q1 2024 | Business Wire |
| Foundry | Provides cloud computing capacity for AI model training and deployment. | $80M | Q1 2024 | Business Wire |
| Together AI | Provides cloud infrastructure for training, fine-tuning, and running AI models. | $106M | Q1 2024 | Together AI |
| Baseten | Provides cloud infrastructure for deploying and scaling machine-learning models. | $40M | Q1 2024 | Baseten |
| MatX | Designs chips optimized for large language model training and inference. | $25M | Q1 2024 | TechCrunch |
| Lambda | Provides NVIDIA-powered GPU cloud, servers, workstations, and AI computing infrastructure. | $320M | Q1 2024 | Lambda |
| Rebellions | Builds AI inference accelerators for data-center computing workloads. | $124M | Q1 2024 | Rebellions |
This market map, featured in our AI infrastructure market deck, highlights top companies and startups in the AI infrastructure market
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