Scality, a global leader in cyber-resilient storage software for the AI era, today announced the advancement of its comprehensive AI ecosystem certification program, with validations now covering more than 20 of the industry's most critical AI and machine learning (ML) tools and frameworks.
Built on Scality's cyber-resilient storage architecture, the program not only ensures interoperability but also protects data integrity and security across the entire AI lifecycle. This first-of-its-kind initiative provides enterprises and AI startups alike with a trusted blueprint for building, deploying and scaling AI applications faster and more reliably.
AI success depends on more than just algorithms; it requires the right combination of tools, infrastructure and interoperability. Our certification program gives customers the confidence to invest in an ecosystem that works together from day one, said Rahul Padigela, Head of Partner Applications Integrations at Scality, Inc.
Certified applications with Scality RING span the complete AI development lifecycle
The certification covers tools across all critical phases of AI development (a methodology designed to meet the needs of both Fortune 500 enterprises and emerging AI innovators). By validating each stage of the process, Scality empowers organisations to confidently select tools that work seamlessly together throughout the development lifecycle.
Data collection: Apache Airflow, Apache Flink, Apache NiFi, Delta Lake, DVC, Kubeflow, LakeFS, Pachyderm
Data filtering: Apache Arrow, Haystack, LangChain, Ray, Snorkel
Data cleansing: Apache Arrow, Apache Flink, Apache Spark, Delta Lake, DVC, Pachyderm
Training: Apache Spark, bodo.ai, JAX, Kubeflow, Metaflow, MLflow, PyTorch, Ray, TensorFlow,
Fine-tuning: Apache Spark, Haystack, JAX, Kubeflow, LangChain, MLflow, PyTorch, Ray, TensorFlow
Inferencing: Apache Flink, Apache Spark, Haystack, LangChain, Metaflow, MLflow, Kubeflow, Pachyderm, Ray, Weaviate
Get a closer look at the functionality these Scality-certified tools provide and how they enable seamless interoperability across all six stages of the AI pipeline in our latest blog.
Tackling the AI integration challenge
In today's fast-moving AI landscape, organisations often face fragmented toolchains that require extensive integration work a challenge that can extend the AI development timeline by 40-60%. Scality's certification addresses this gap by providing:
Interoperability: Tools tested for seamless integration with other certified platforms
Documentation & support: Verified comprehensive documentation and active community backing
Security & compliance: Validates tools on a secure, cyber-resilient foundation that protects data integrity and supports compliance from ingestion through inference
Long-term viability: Vendor stability, clear roadmaps, and strong adoption metrics
Each certified platform underwent rigorous real-world testing, including integration trials with other certified tools to ensure operational readiness across diverse deployment environments.
Looking ahead
Scality will expand the certification program as the AI ecosystem evolves, adding new tools and frameworks to help organisations navigate toward the most effective and reliable solutions.
Learn more about Scality AI
Blog: Stop cobbling AI tools together: How Scality simplifies the AI pipeline
Scality solutions for AI
Enterprise AI in action: 5 real-world use cases powered by object storage
The AI storage problem you didn't see coming (and how Scality already solved it)
Stop building dumb chatbots with Scality RING for smarter AI workflows
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Scality, a global leader in cyber-resilient storage software for the AI era, today announced the advancement of its comprehensive AI ecosystem certification program, with validations now covering more than 20 of the industry's most critical AI and machine learning (ML) tools and frameworks.
