Shelby
@shelbyserves
Verifiable global object storage for AI. The data layer your workloads have been waiting for. Early Access is open →
16 Following 38.7K Followers
Scalable, configurable, and everything verifiable.
The hard infrastructure problem for AI isn't faster GPUs. It's getting data to them. That's Shelby.
The cloud bill makes sense once you remember it was priced for a world where data didn't move.
Storage was built for humans clicking links.
Agents don't click. They use data to drive decisions and move value at machine speed. Every access must be verifiable.
Shelby is the storage layer built for this.
Coordinated on @Aptos
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POV: the CFO joined the infrastructure meeting. Egress is now everyone's problem.
AI is everywhere. The data it needs isn't.
@shelbyserves solves that. Early Access is now open on testnet. Write once, read anywhere across regions. No copies, no egress trap. Coordinated on Aptos.
Apply to build:
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GCP storage: $0.022/GB/month.
GCP egress: $0.12/GB.
One is what you pay to keep data still. The other is what you pay to move it.
Regional replication: undefeated since 2006.
Hyperscalers profit from the problem.
They're not going to solve it. They're going to price it.
Based on a true data infrastructure story
AI builders are giving Shelby ⭐⭐⭐⭐⭐
If you're offering compute but egress is eating up your margins, let's talk
If your training data is stuck in one region and your GPUs are in another, let's talk.
If your content is being consumed, but you don't know by whom, let's talk.
Booth E11. We're here all day.
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A fun way to explain a huge roadblock in AI growth story.
I was talking to one of the biggest cloud providers last week. This is THE top problem for their customers. No GPU available in the region customer has data in. And the cloud provider doesn’t have a global namespace.
Shelby is building a new data paradigm.
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This isn't just a love story. It's the actual state of AI infrastructure.
GPU clusters go where power is cheap, Iceland, Texas, wherever the gigawatts are. Your training data stays where it was stored, locked in a regional bucket. Every time they need to connect, you pay egress. Every time.
Teams are spending more moving data than using it.
Shelby puts your data in a single global namespace. Write once, read from wherever your compute is running. No regional copies. No transfer penalties. Cryptographic proof on every read.
Fix the data layer. Better AI economics follow.
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The greatest love story in AI infrastructure.
AI builders need global access. Infra providers need margins. Data creators need proof. None of them have a storage layer built for it.
Come find us at booth E11.
Don't be an April Fool. Shelby Early Access is now open.
The inside of the data center is getting rebuilt. The space between them is what we built Shelby for.
@rpranav on what GTC got right, what it left out, and why global storage for AI is the missing layer.
Read the full article:
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One Namespace to Rule them All
1/ AI needs crypto's infrastructure. Crypto needs AI's scale.
Shelby is built for both. Early Access is open. Apply to build today.
