AI Storage
Keep AI Pipelines Moving at Full Speed
Fast and affordable AI cloud object storage to maintain structured and unstructured datasets for future reuse, comparison, and compliance
Store and archive AI data
From initial data ingest to long-term AI model retention, Wasabi ensures your AI pipeline remains efficient, secure, and cost-effective.
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AI workflows, simplified
Wasabi bookends your workflows with powerful data ingest capabilities like indexing and cataloging data or adding custom metadata labels.
Wasabi object storage for data archiving rounds out the workflow with immutable protection to meet audit and compliance regulations for input data and model records.
Massive dataset support
Effortlessly scale from terabytes to petabytes with a single scalable storage platform that can host all the data used for model training
AI data archives & compliance
Immutability ensures previous AI models and iterations are retained for compliance and auditing
Predictable cloud pricing
Single-tier simplicity with no transport or access fees helps you plan and hit budget targets
Plug and Play
Seamless integrations with your existing workflows
Wasabi connects effortlessly across industry-standard AI tools, ML platforms, and cloud services.
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Fueling innovation across AI/ML with Wasabi
Price-predictable object storage for AI frees up your data, and your budget.
Security & compliance
We meet SOC 2, GDPR, and HIPAA standards with immutability options and exclusive account security features to protect your AI data.
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Scalability
Store petabytes of structured and unstructured data from AI-generated content, LLMs, and edge AI systems without the hyperscale price tag.
High performance
Low-latency object storage accelerates training, fine-tuning, and inference, with 100 Gbps direct connect for real-time AI updates.
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Multicloud compatibility
Seamless S3 compatibility across AI tools and compute providers allows organizations to optimize cloud spending with best-of-breed ingredients.
Don't limit what your AI data can do
Our no-fee policy for egress and API requests reduces your total cost of ownership by 30-50% compared to hyperscalers.