🧵Akave Cloud: Enterprise Data Infrastructure for the AI Era In Short: Akave Cloud provides auditable object storage with S3 compatibility and no egress fees. It helps enterprises unlock siloed data, support AI-scale workflows, reduce compliance risks, and monetize datasets. 1/ Data Bottleneck Enterprises generate petabytes of data annually, yet much of this data remains untapped. Egress fees, siloed systems, and manual permissions limit innovation. Data infrastructure, not its shortage, has become the primary barrier to enterprise AI workflows. 2/ Akave Cloud Approach Akave Cloud addresses this bottleneck with S3 compatibility, no egress fees, and on-chain auditability. It provides enterprises with a foundation for unlocking, managing, and activating proprietary data for AI, analytics, and emerging markets. 3/ Core Features Immmutable storage records every object on-chain for an audit trail. Programmable access rules allow for definition of usage terms and revenue sharing. No penalties with a fixed price of $14.99/TB per month. Parallel I/O supports real-time performance, meeting the scale demands of AI. 4/ Synthetic and Simulated Data Applications such as robotics, healthcare, and finance require large-scale synthetic datasets. Akave Cloud supports high-speed data acquisition, frequent versioning, and low-latency access, making it suitable for data-intensive simulations and AI-driven research environments. 5/ From Cost to Benefit Akave Cloud integrates with marketplaces like @BaselightDB. Enterprises can publish datasets with clear usage policies, track access rights through contracts, and monetize archived data. What was once a cost center can be transformed into revenue-generating data infrastructure. Read more: