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Battery Report 2024, page 337: Software
Sources and links on page 337 (3)

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  1. https://docs.broadcom.com/doc/1210914943347
  2. https://semiengineering.com/cloud-vs-on-premise-analytics/
  3. https://www.druva.com/glossary/what-is-tiered-storage-definition-and-related-faqs
Text on page 337

Data Storage Options - Cloud, On-Prem, Or Hybrid Solutions Battery manufacturing generates enormous volumes of data (up to 2-7TB per day per production line), with a significant portion coming from critical image data used for cell and electrode inspection. In addition, automotive customers often require 10 years of data storage from their suppliers. Managing & storing such vast amounts of data is crucial for ensuring efficient and scalable operations. Advanced industries like semiconductors have recognized the importance of Cloud, with many embracing the hybrid approach for a balance between security, scalability, and cost.

FEATURE

ON-PREMISE

CLOUD

Scalability

Limited by infrastructure

Highly scalable

Cost

High upfront and maintenance costs

Pay-as-you-go, cost-effective

Data Sharing

Restricted to local access

Centralized and accessible globally

Security

High physical control

Often has superior encryption and protocols

Flexibility

Limited

High flexibility

Adoption

Mature but less agile

Gaining traction

Complex Analytics

Harder to scale

Supports AI/ML for advanced insights

TIERED DATA STORAGE APPROACH to manage large amounts of data

Sources: “Cloud Vs. On-Premise Analytics”, “What is tiered storage?”, “Automotive Optocouplers—Beyond Meeting the Electrical Performance at High Temperature”

To manage & store large data volumes, many companies use tiered data storage systems. This moves less critical data from high-speed Tier 1 storage to more cost-effective Tier 2 or cloud-based storage over time. This approach reduces costs, allows for efficient long-term data archiving, and ensures seamless access and re-archiving when needed for analytics or other purposes.

Extracted from the PDF; charts and images may read imperfectly.

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