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AI is exploding, but the data layer underneath is stuck in the past.
Most models aren't bottlenecked by training anymore; they're bottlenecked by serving. Every inference needs fast, reliable, global data access. @shelbyserves
Retrieval Augmented Generation, live agents, licensed datasets, and real-time content all demand sub-second reads at massive scale. Traditional clouds like S3 and GCS weren't built for this. Egress fees skyrocket as reads multiply, meaning you pay more the bigger you get.
Replication across regions eats storage 3 to 5 times just to fake global availability. Latency varies wildly depending on where your users and compute are.
There is no built-in proof. Was the right data served? Under the right license? Is it tamper-proof? Good luck auditing at scale.
Decentralized storage tried to fix trust like IPFS, Filecoin, and Arweave, but fell short on speed and cost for hot, read-heavy workloads. They're great for archival, but terrible for inference that needs to happen now.
That's why we built Shelby, the first verifiable global object storage designed specifically for AI and data-intensive apps.
Core upgrades:
One global namespace: Write once in any region, and read from anywhere with the same path. No buckets, no replication tax.
Cryptographic proof on every single read: You get verifiable delivery including what data, when, from where, ownership, and access rights, all cryptographically attested. Perfect for licensed data, attribution, compliance, and revenue gating per call.
Built on dedicated fiber via DoubleZero and high-performance nodes: Sub-second global reads, deterministic low latency, and no best-effort internet nonsense.
Economics that scale with you: Expected around 70 percent lower egress at production volumes. Reads are metered and paid, incentivizing providers to deliver fast, not just store cold.
Easy integration: S3 compatible API for drop-in migration, SDKs for React on the frontend, Ethereum and Solana for on-chain logic, plus Shelby Media Kit for GenAI content delivery and MCP Server and Skills for AI agents.
Who this is really for:
Builders shipping stateful AI agents that need persistent, fast memory.
Teams serving licensed datasets or RAG knowledge bases globally.
Anyone fighting egress bills and latency in high-read AI and crypto apps.
Projects wanting Web2 speed with Web3 verifiability and no lock-in.
Early Access is live right now on Devnet and Testnet. We're onboarding builders who are ready to push the limits.
How to get in:
Join the Shelby Discord: discord.com/invite/shelbys…
Apply here: developers.shelby.xyz
Read the full announcement and deep dive: shelby.xyz/article/shelby…
Check out the podcast where rpranav breaks down the architecture with Austin Federa, linked in recent posts.
The network is serving. Time to build something that actually scales without breaking the bank or the trust model.
What are you working on that needs better data serving?
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