Aptos runs real customer workloads in Shelby Private Beta

Pictor: Pictor Network operates a decentralized GPU aggregator on Aptos, connecting providers of idle GPUs with users for 3D rendering, AI training, inference, and related compute tasks. It creates a marketplace to make high-performance resources more accessible for creators and developers. Pictor joins Shelby's initial private beta cohort to test distributed rendering workloads where data availability directly affects compute efficiency across sites. Shelby: Shelby is a decentralized object storage and data platform built on the Aptos blockchain by Aptos Labs and Jump, designed as an S3-compatible service for verifiable, high-performance data management in AI and distributed compute settings. It prioritizes data that remains portable and usable as compute shifts across locations, using features like cryptographic sequencing for writes and erasure coding. Shelby transitioned to private beta in late September 2026 after testnet closure, with the first customer workloads now running in production. Teepin: Teepin develops portable private AI infrastructure for enterprises, offering services like model inference, compute, and storage optimized for proprietary or regulated data without vendor lock-in. It rebranded from Flashback Labs and integrates with decentralized data layers to support flexible AI pipelines. Teepin is one of the initial teams in Shelby's private beta cohort, focusing on enterprise AI workloads involving proprietary data and open-source models. PathPulse: PathPulse.ai builds AI-driven platforms for real-time spatial intelligence and urban mobility, processing crowdsourced video and sensor data to enable dynamic mapping, predictive navigation, and city insights. It handles high-volume physical-world data that often requires processing across varied locations. PathPulse participates in Shelby's private beta as the representative for spatial intelligence workloads. Aptos Coordination: Shelby leverages Aptos blockchain elements including smart contracts, RPC servers, and erasure coding to support data integrity and sequenced records in a permissioned setup for production use. Private Beta Focus: Shelby's private beta emphasizes real customer workloads across enterprise AI, spatial intelligence, and distributed rendering to inform platform refinements based on practical requirements rather than assumptions. Data Portability Emphasis: The core design ensures data stays usable and flexible as compute operations move across different environments, clouds, or providers, reducing migration and synchronization overhead.