UNDERSTANDING THE INFRASTRUCTURE
BEHIND TECHNOLOGICAL CHANGE.

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Tensor LP maintains a particular focus on the physical and technological infrastructure required to support the expansion of artificial intelligence and advanced computing.

Our research follows the broader technology ecosystem rather than focusing exclusively on individual companies.

Artificial Intelligence

Research across the AI ecosystem, from foundation models and training infrastructure to inference systems and the applications driving adoption.

Semiconductors

The full semiconductor value chain — design, fabrication, packaging and the specialized equipment enabling advanced chip manufacturing.

Compute Infrastructure

Data center architecture, server platforms, accelerators and the physical systems supporting large-scale AI training and inference workloads.

Data Centers

The facilities, power systems, cooling technologies and site selection strategies underpinning the global expansion of computational capacity.

Networking & Connectivity

High-performance networking, optical interconnects, submarine cables and the communications fabric connecting distributed compute resources.

Energy Infrastructure

Power generation, transmission, grid capacity and the energy solutions required to sustain the growing demands of AI and compute infrastructure.