The open source nature of Step3 provides a cost-effective solution:
- Zero licensing costs: Apache 2.0 protocol allows free commercial use without royalty restrictions.
- Hardware savings: block-fp8 format enables a single server (4*A800) to support millions of requests per day
- Deployment Simplification: Provide a complete GitHub Documentation cap (a poem) Discord Communitybe in favor of
Implementation Path:
- Download model weights from Hugging Face (~210GB)
- on the basis of
deploy/Kubernetes Configuration Templates for Catalogs Build a Cluster - Performance tracking using the supplied Prometheus monitoring template
Practices have shown to reduce TCO (Total Cost of Ownership) by 801 TP3T compared to comparable commercial solutions.
This answer comes from the articleStep3: Efficient generation of open source big models for multimodal contentThe
May not be reproduced without permission:AI productivity tools " How to cost-effectively privatize the deployment of enterprise-grade multimodal AI systems
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