“Whoever controls the storage and flow of data controls the starting point of this game.” Filecoin is trying to become that starting point.

FIL1.03%
View Original
tongrun
"Whoever controls the storage and flow of data controls the starting point of this game" - Filecoin is built for the data layer that matches the model

1. Google Cloud's fees for moving training data are 6 times the cost of storing data
The pricing disparity for inbound data transfer between AWS and GCP is significant:
GCP inbound transfer: First 1GB free, then $0.12/GB up to 1TB, and $0.08/GB beyond 1TB.
AWS inbound transfer: First 1GB free, then only $0.02/GB up to 9,999GB, and $0.015/GB beyond 10,000GB.
GCP's inbound transfer pricing is over 6 times that of AWS.
Additionally, GCP also has no advantage in outbound transfer: GCP's standard outbound price is $0.12/GB, while AWS's standard outbound price is $0.02/GB, a 6x difference as well. However, if using CDN, GCP's outbound price can drop to $0.04/GB, cheaper than AWS's CDN outbound ($0.085/GB).
This means that if an AI team needs to migrate datasets between different clouds (e.g., storing data on GCP but training on AWS), GCP's high ingress/egress fees quickly accumulate into hidden costs locked in by "data gravity."

2. AWS's own API fee issues
"AWS charges $20,000 in API fees just for a model to read its own data" reveals the high hidden costs of AWS APIs and data reading:
Amazon Textract API (document extraction service) has a complex, per-page pricing structure: Using the Detect Document Text API to process 2 million pages costs $2,100; if using the more advanced form analysis feature, processing 2 million pages can cost up to $115,000.
More generally, API calls combined with data transfer fees (egress fees) together constitute a "hidden tax." For example, an API service handling 15 billion requests per month with a 4KB response per request would incur $5,149.84 in data transfer fees alone.
In AI training scenarios, data egress fees can inflate storage costs by 30%-80%.
These figures confirm: when a model repeatedly reads its own data stored in the cloud, the combined effect of API call fees, data transfer fees, and storage fees creates a massive cost black hole. This is one of the core drivers pushing the industry toward "open-weight models + open infrastructure" solutions.

3. Filecoin is built for the data layer that matches the model
This judgment is increasingly validated by industry practices. The structural advantages are reflected in three aspects:
3.1 Zero egress fees break "data gravity"
Traditional centralized cloud storage (e.g., AWS S3, GCP Cloud Storage) locks in users through high egress fees—once data is stored, the migration cost is prohibitively high.
Akave Cloud (a decentralized storage platform based on Avalanche L1 and integrated with Filecoin) offers a pricing of $14.99 per TB per month with zero egress fees, providing up to 80% discount compared to the total cost of AWS S3 including data migration.
3.2 Cryptographic proofs ensure data integrity
One of Filecoin network's core innovations is verifiable storage proofs.
When running on the underlying layer, Akave Cloud generates a cryptographic receipt (eCID) for each storage operation, records it on-chain, and runs Possession and Data Persistence Proofs (PDP), providing mathematically verifiable evidence that data is intact and accessible.
This fundamentally differs from traditional cloud providers where "users can only trust the provider's verbal promises."
3.3 Hot/cold tiering and durability guarantees
For long-term archival data, Akave Cloud integrates with Filecoin, using 32,16 Reed-Solomon erasure coding to achieve 11 nines of data durability.
The hot storage layer handles active workloads, while Filecoin provides a cold storage layer for datasets that need to be preserved for years or decades.

Summary: The synergistic logic of open-weight models and open infrastructure
The logical chain is very clear:
Open-weight models (e.g., Meta's Llama 3, Mistral's open-source models) allow enterprises to deploy locally or in private clouds, avoiding per-token API licensing fees and protecting sensitive data from leaving their environment.
But the prerequisite is that the underlying data layer cannot continue to rely on the high API fees and egress fees of centralized cloud storage—otherwise, the cost advantage of open weights would be offset by the "hidden tax" of infrastructure.
Filecoin and its ecosystem (e.g., Akave Cloud) provide zero egress fees, fixed pricing, and verifiable storage, perfectly matching this need of open-weight models, forming a complete "open model + open data layer" infrastructure stack.

"Whoever controls the storage and flow of data controls the starting point of this game." Filecoin is trying to become that starting point.

Disclaimer:
The material is sourced from official media/online news. The content is for reference, learning, and communication only. Readers are requested to strictly comply with local laws and regulations. This article does not constitute any investment advice.
All information provided is for reference only. Accuracy, validity, timeliness, and completeness of the information are not guaranteed. Any actions taken based on the information provided here are at the user's own risk.
repost-content-media
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • Comment
  • Repost
  • Share
Comment
Add a comment
Add a comment
No comments
  • Pinned