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.
Research across the AI ecosystem, from foundation models and training infrastructure to inference systems and the applications driving adoption.
The full semiconductor value chain — design, fabrication, packaging and the specialized equipment enabling advanced chip manufacturing.
Data center architecture, server platforms, accelerators and the physical systems supporting large-scale AI training and inference workloads.
The facilities, power systems, cooling technologies and site selection strategies underpinning the global expansion of computational capacity.
High-performance networking, optical interconnects, submarine cables and the communications fabric connecting distributed compute resources.
Power generation, transmission, grid capacity and the energy solutions required to sustain the growing demands of AI and compute infrastructure.
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Information regarding trading, markets, technology and related companies reflects general areas of research and interest and should not be interpreted as a recommendation to purchase or sell any security.
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