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Physical Intelligence

Physical Intelligence runs a proprietary robotics foundation model stack with large-scale training and data infrastructure, using WEKA for high-performance data and Oracle Cloud Infrastructure for hosted compute, complemented by Kubernetes-based CI/CD and GPU-heavy cloud environments.[1][2][7][11][12] The architecture centers on Python/C++ robotics services, PyTorch/JAX-based model training on cloud GPUs, and data pipelines from robot teleoperation and simulation into foundation model training and evaluation.[11][12]

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

Primaryπ (robotics foundation model controlling many robot platforms)· Physical Intelligence (self-hosted GPUs and data infrastructure) · Native (own / self-hosted weights)

Cloud & datastore

HybridObject storage (WEKA Data Platform over high-performance files/object)[2]Oracle Cloud Infrastructure storage/DB services (unspecified mix, likely OCI Object Storage and managed DB)[1]Custom distributed data infrastructure for robot learning (data pipelines between raw telemetry and training/eval)[11]

Compliance

Similar companies

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Native (own / self-hosted weights) →More on Hybrid →

FAQ

Does Physical Intelligence use a foundational AI model?
Physical Intelligence uses π (robotics foundation model controlling many robot platforms) (Native (own / self-hosted weights)).
What cloud does Physical Intelligence run on?
Physical Intelligence runs on Hybrid.
What database does Physical Intelligence use?
Physical Intelligence uses Object storage (WEKA Data Platform over high-performance files/object)[2], Oracle Cloud Infrastructure storage/DB services (unspecified mix, likely OCI Object Storage and managed DB)[1], Custom distributed data infrastructure for robot learning (data pipelines between raw telemetry and training/eval)[11].
How close does Physical Intelligence run to the foundational model?
Physical Intelligence is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

physicalintelligence.company ↗

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proprietary / self-built models

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Architecture inferred from public sources · confidence low · verify before betting on a detail.