America 2030 · AI Infrastructure

Invest in AI Infrastructure Pre-IPO Companies

America 2030 gives investors exposure to SambaNova’s AI inference systems and Lightmatter’s photonic interconnects through one managed fund spanning six sectors. These companies address two infrastructure challenges: running AI models and moving data between processors.

Marketing communication. For accredited investors only.

Held by America 2030

Two of the twelve America 2030 positions are classified in AI Infrastructure. Primary sector as recorded in the Manager’s portfolio register, September 30, 2026.

Why now

Running AI and moving its data.

Inference

SambaNova builds systems for running AI models, addressing the speed, capacity and energy requirements of inference.

Data movement

Lightmatter develops photonic interconnects that move data between processors, supporting large-scale AI training and inference.

Our investment thesis focuses on the infrastructure behind AI adoption. SambaNova and Lightmatter address different technical constraints within that infrastructure. Commercial success depends on customer adoption, competitive performance and execution; growing AI demand alone does not guarantee investment returns.

America 2030

One managed fund, 12 portfolio positions, six sectors.

A managed portfolio across six sectors supporting U.S. resilience and technological leadership. AI Infrastructure exposure comes through SambaNova and Lightmatter, alongside positions in the other five sectors. Minimum investment $50,000. Open to accredited investors only.

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Sub-sector map

AI infrastructure, mapped from the chip to the model.

Our research spans five clusters. America 2030 currently holds SambaNova in inference systems and Lightmatter in photonic interconnects.

Inference Silicon

Chips built to run AI live, local, and real-time.

Inference AcceleratorsIn-Memory ComputeEdge AI Silicon

Photonics

Moving data with light, at a fraction of the energy.

Photonic ProcessorsOptical Interconnect

Advanced Semiconductors

The energy-efficient silicon under the buildout.

RISC-V ArchitecturesCustom AI Accelerators

Quantum Hardware

Compute for problems classical silicon cannot reach.

Photonic QuantumRoom-Temperature Qubits

Foundation Models & LLMs

The headline cluster. We cover it closely and hold back: the layer is crowding and commoditizing fast.

Frontier Model LabsEnterprise & Open Models

Company reports

Companies we research.

The AI infrastructure companies we follow, from inference silicon and photonics to the model labs. Each card shows whether we hold it, and in which vehicle.

Companies under coverage

Research coverage Groq Deterministic inference silicon built for speed and energy efficiency, purpose-made for running models, not training them. Read in Data Room → Research coverage d-Matrix In-memory compute for generative AI inference, attacking the memory-compute bottleneck in the data center. Read the research → Held by America 2030 Lightmatter Photonic interconnects that move data between processors in AI systems, supporting training and inference at scale. Read the research → Held by America 2030 SambaNova Full-stack AI systems with a dataflow architecture built for enterprise inference workloads. Read the research → Research coverage SiFive Energy-efficient RISC-V silicon, an open alternative to proprietary architectures across compute and AI. Read in Data Room → Research coverage Rebellions Full-stack, domain-specific AI processors optimized for energy-efficient inference. Read in Data Room → Research coverage VSORA Inference-first AI chips positioned as a lower-energy GPU alternative for data-center and edge AI. Read in Data Room → Research coverage PsiQuantum A scalable, fault-tolerant quantum computer built on photonics, for problems classical silicon cannot reach. Read the research → Held by IPO CLUB Fund I OpenAI The largest still-private model lab. We cover it closely; the model layer is crowding and commoditizing fast. Read the research → Held by IPO CLUB Fund I Perplexity AI-native search built on top of frontier models, competing in a fast-commoditizing application layer. Read the research → Research coverage Mistral AI Europe's open-weight model champion. We track it closely and invest in the silicon it runs on instead. Read in Data Room → Research coverage Cohere Enterprise and sovereign LLMs with retrieval-augmented generation, in the crowding model layer. Read in Data Room →

How to invest

America 2030 is the route open today.

Minimum

$50,000

Positions

12

Sectors

6

Eligibility

Accredited

One managed, diversified portfolio held in America 2030, a series of IPO CLUB II LLC. The deck covers the current portfolio, investment strategy, fees, risks and track record.

Single-name SPVs: when secondary supply allows, members can take a position in one company through a dedicated SPV. No AI infrastructure single-name allocation is open right now. Browse the single-name company pages.

FAQ

Questions about investing in AI infrastructure.

Last updated: 2026-10-13.

Next step

Get the America 2030 investment deck.

The current portfolio, investment strategy, fees, risks and track record in one document. Minimum investment $50,000, for accredited investors only.

Company research, quarterly valuations and sector reports are free for members in the Data Room.