Meet Physical Intelligence
Igniting a Robotics Revolution
- Cloud
- Generative AI
- OCI
- Robotics
- Global
Physical Intelligence is pioneering the integration of general-purpose AI in the physical world. The company is developing advanced foundation models and learning algorithms to create a unified robot intelligence capable of powering everything from everyday tools to complex, industry-grade robots. Their groundbreaking general-purpose robot foundation model, π0, is designed to achieve dexterous task performance at an unprecedented scale by training on a vast and diverse set of internal and external data sources.
The Challenge
Physical Intelligence’s AI model training environment demands high performance, efficient data management, and robust scalability to power its groundbreaking robotics applications. Training its general-purpose robot foundation model required vast, diverse datasets and dexterous task performance running on Oracle Cloud Infrastructure (OCI). However, Physical Intelligence grappled with slow model checkpoints and rigid data management, which resulted in limited efficiency and scalability.
Long Model Checkpoint Times
Traditional data storage on OCI resulted in prolonged checkpoint operations that delayed model training by 10–15%, hindering rapid innovation.
Rigid Multi-Cloud Data Management
As the team sought a data management solution capable of operating seamlessly across their current multi-cloud environment—and future on-premises deployments—the limitations of conventional storage solutions became evident.
“Since we are a lean team dedicated to research, we needed a data storage solution that works out of the box for large-scale AI training and data management—handling the heavy lifting and the small details for us so we can stay focused and move fast.”
The Solution
Physical Intelligence turned to the WEKA® Data Platform to overcome these obstacles. With WEKA’s Converged Mode for OCI, the team implemented a petabyte-scale single namespace that spans both high-performance NVMe-based storage and Oracle Cloud Object Storage capacity tiers.
“WEKA turns unused local NVMes into a high-performance shared storage system that is resilient and available.”
Outcomes with WEKA
Physical Intelligence has revolutionized its AI training on the WEKA Data Platform, slashing model checkpoint times significantly and boosting overall training speed by 10–15%. The platform unifies high-performance NVMe flash with cost-effective cloud object storage in a single namespace, automating data tiering to eliminate over-provisioning. This approach not only cuts data storage costs by 80% but also delivers seamless hybrid, multi-cloud support for flexible, scalable deployments.
10-15%
Faster Model Checkpoint Times
Intelligent Tiering & Adaptive Caching automates the movement of data between the fast NVMe tier and the cost-effective capacity tier, dramatically reducing checkpoint times.
80%
Reduction in Data Infrastructure Costs
Physical Intelligence’s resource-efficient approach has cut data storage costs by 80%, freeing up savings to reinvest in research and development.
100%
Data Portability Across Diverse Deployment Types
Hybrid, Multi-Cloud Support seamlessly enables data management across OCI and on-premises deployments, ensuring a flexible and scalable infrastructure to meet evolving business needs.
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