How Atempo Miria Migration Powers the AI Architecture Evolution

Sarah Mason

Migration and AI (8)

According to the August report 2024 Global Trends in AI from S&P Global, many AI projects fail to scale due to issues with legacy data architectures. Storage and data management are the primary infrastructure issues hindering AI progress, and problems with data quality and availability are the most significant challenges preventing organizations from moving AI projects into production. 

By addressing the specific storage requirements of AI workloads, Atempo Miria Data Management enhances the overall efficiency and effectiveness of AI initiatives within organizations, enabling them to leverage speed, performance, and efficiency to drive innovation and insights from their AI applications.

Data migration is crucial for organizations that upgrade storage to handle AI infrastructures, including replacing legacy storage with more powerful/fast storage, relocating data, and enhancing efficiency. Atempo Miria Data Management provides robust features to address these challenges, fulfilling all prerequisites for readiness, speed, and reliability when migrating massive volumes of data within complex environments while ensuring data security and integrity.

Miria Addresses Migration Challenges:

  • Ensures minimal production downtime by reducing final cutover window to the minimum
  • Facilitates incremental and automatic file migration across diverse technologies (cloud, remote, hybrid, on-premises) in a vendor-agnostic manner, boasting the broadest storage compatibility in the market.
  • Enables automated data integrity for objects, ACLs and POSIX attributes.
  • Offers maximum automation, allowing users to establish protocols for efficient task automation.
  • Enables performance adjustments through the simple addition or removal of a Data Mover.


Moreover, the platform's support for automated data integrity and seamless migration across diverse storage technologies ensures that AI-specific data sets are migrated with precision and consistency, preserving the integrity and reliability of data crucial for AI model training and inference. Atempo Miria ensures that AI applications can leverage the migrated data without compromising accuracy or performance.

Here's one of the many Use Cases where Atempo is helping support customers needing to adapt and grow with AI.

Use Case

Transportation 10PB Migration

from IBM Spectrum Scale formerly GPFS v4 to v5

Supporting AI workload to create efficiency of shipping/packing routes and transportation 

spectrum transport

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Topics: HPC, Storage, Miria for Migration, workloads, AI, transportation

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