Load for AI storage megathread time
The APIs, CLIs, examples and theory you need to store verifiable AI data on Load S3 🧵
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1/ What's unique about storage for AI?
AI models consume and produce a ton of data. From datasets to inference to output logs, the core loop of AI systems needs storage at each step.
Dataset size can be fixed, but inference can be infinite.
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2/ Every model deployment is basically an infinite data factory.
The storage layer needs to enable scale, verifiability, reproducability, and provenance across the whole stack.
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3/ So why does Load help?
Systems that read/write at terabyte scale AND need persistence guarantees for valuable data need a smart way to route between storage layers
cheap immutable bulk storage -> permanence
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4/ The core flow is:
ALL data gets packaged as ANS-104 DataItems: signed, tagged, timestamped, optionally encrypted and stored in Load S3
...then purged, renewed or pushed to Arweave for permanent storage with the exact same txid as on Load S3, staying predictably referencable
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5/ AI produces and consumes huge quantities of data but not all of it needs to be stored forever.
Fixed data, like a version of a dataset, should probably be permanent. Ephemeral data like logs and input prompts may want to only be stored as long as the audit lifecycle.
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5a/ @apus_network uses Load S3 to store prompts and inference data, anchoring it to @ArweaveEco. For Apus, Load S3 is a quick way to stage data and query it back via tags.
Check the Apus pool on the Load S3 explorer: data.load.network/pool/apus
Case study: blog.load.network/apus-load/
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6/ Pricing
The base price of Load S3 storage is ~35% cheaper than AWS S3, up to 60% cheaper than Filecoin and 70% cheaper than Walrus.
more comparisons:
IPFS/FIL blog.load.network/load-and-a…
Walrus blog.load.network/load-vs-wa…
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7/ Getting data in, pt. 1:
Existing @huggingface or @github datasets: use load-pools
blog.load.network/pools-cli/
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8/ Getting data in, pt. 2:
Public (encrypted if you like) DataItems with tags, signer and timestamp: use s3-agent
docs.load.network/load-cloud…
Jan 19, 2026 · 3:58 PM UTC
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9/ Getting data in, pt. 3:
Load S3 is compatible with the AWS S3 SDK, just change the endpoint. Use Load Cloud to manage buckets and API keys, and everything else is the same S3 you're used to.
docs.load.network/load-cloud…
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10/ Getting data out
Retrieve public DataItems with the superfast query layer that comes with s3-agent
docs.load.network/load-cloud…
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11/ Resources pt. 1
xANS-104: cryptographically-signed and tagged data - temporary by default, permanent if valuable - blog.load.network/xans-104/
Load Pools CLI: upload entire Hugging Face and GitHub datasets to Load S3 in one command - blog.load.network/pools-cli/
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12/ Resources pt. 2
s3-agent: REST API to upload and query ANS-104 DataItems to Load S3 - docs.load.network/load-cloud…
data.load.network: explore Load S3 data and pools of AI datasets
Load S3 partner program: get 100GB/mo of Load S3 storage for free - load.network/s3-partner-prog…
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13/ Everything in this thread is wrapped up here: blog.load.network/load-for-a…
more: load.network/ai
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