Empowering Edge-to-Cloud AI with Nasuni Edge for Amazon S3

As organizations scale their AI ambitions, they’re discovering that the most valuable data isn’t just in the cloud — it’s at the edge: in factories, hospitals, construction sites, energy plants, and branch offices. This edge data holds the real-time signals that fuel prediction, automation, and innovation. Yet managing, processing, and securing this data — while making it usable for AI — is complex. Nasuni Edge for Amazon S3, extends the power of Amazon S3 storage and AWS AI services directly to the edge.

The Power of Nasuni Edge for Amazon S3

Nasuni’s cloud file data platform brings the scalability of Amazon S3 to enterprise file workloads. With Nasuni Edge for Amazon S3, organizations can now:

• Access and store data via S3-compatible APIs directly at the edge, ensuring low-latency reads and writes for data-intensive applications.
• Maintain a single global namespace across edge, data center, and cloud, ensuring consistent data access anywhere.
• Use Nasuni edge appliances or virtual machines deployed on-premises, in AWS Local Zones, or AWS Outposts for high-performance local access.
• Ensure durability, resilience, and security by keeping the authoritative data copy in Amazon S3.
• Leverage rich metadata and versioning, critical for AI/ML pipelines that rely on well-structured, classified data.

This hybrid architecture bridges the gap between the high-performance needs of edge workloads and the scalability of AWS cloud storage — without compromising on control, governance, or cost efficiency.

Enabling AI at the Edge with AWS Services

By integrating seamlessly with AWS’s AI and ML portfolio, Nasuni Edge for Amazon S3 becomes a key enabler for modern data-driven innovation:

• Latency and Local Processing - Edge sites can ingest and process data locally with minimal delay, while still syncing to S3 for centralized analysis.
• Data Ingestion and Pipeline Readiness - Applications can write data directly to S3 APIs at the edge. Once synchronized, AWS services like Amazon SageMaker, Rekognition, Textract, or Bedrock can seamlessly consume that data.
• Unified Access for Mixed Workloads - Multi-protocol support (SMB, NFS, and S3) means legacy applications and modern AI workloads share the same data source, eliminating silos.
• Governance and Compliance - Data is encrypted, versioned, and protected both locally and in S3, ensuring auditability and alignment with security policies.

Noventiq - expertise across Cloud, Data, and AI

As a global AWS Premium Partner and Advanced Partner of Nasuni, Noventiq brings deep experience in hybrid cloud architecture, AI adoption, and enterprise data modernization. Our teams help customers design, deploy, and optimize Nasuni Edge for Amazon S3 environments — and connect them to AWS’s AI capabilities to unlock measurable business outcomes.

• Architecture design & deployment – Right-sizing edge infrastructure, integrating with existing workloads, and ensuring secure connectivity to S3.
• AI & data pipeline integration – Connecting Nasuni-stored data to AWS AI services such as SageMaker, Bedrock, Bedrock AgentCore, Rekognition, or Kendra.
• Governance and compliance advisory – Applying best practices in data security, IAM, and cost control for hybrid environments.
• Operational enablement – Building skills and governance frameworks to help IT and data teams manage edge-to-cloud pipelines efficiently.

Our mission is to help customers go beyond data storage — and turn that data into actionable intelligence using (agentic) AI. Ready to explore what’s possible? Reach out to sales.aws@noventiq.eu or request your Private Offer via the AWS Marketplace https://aws.amazon.com/marketplace/pp/prodview-3rl2iqqw7fslg