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Starts 7 June 2025 12:30
Ends 7 June 2025
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Why Storage Matters to AI in 2025
Explore the critical role of storage in AI workflows through 2025, from data ingestion to inference, and discover how Solidigm's SSD solutions enable running 70B parameter models on less powerful hardware through innovative memory offloading techniques.
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2544 Courses
48 minutes
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Overview
Explore the critical role of storage in AI workflows through 2025, from data ingestion to inference, and discover how Solidigm's SSD solutions enable running 70B parameter models on less powerful hardware through innovative memory offloading techniques.
Syllabus
- Introduction to AI and Storage
- Key Storage Challenges in AI
- Storage Technologies in AI
- Solidigm's SSD Solutions
- Memory Offloading Techniques
- Running 70B Parameter Models
- Case Studies and Real-World Applications
- Future Trends in AI Storage
- Course Summary and Key Takeaways
Overview of AI workflows and data processing
Importance of data storage in AI
Data ingestion and management
Scalability and efficiency
Overview of current storage solutions
Evolution of storage technologies by 2025
Introduction to Solidigm's innovations
Benefits of using SSDs in AI workloads
Explanation of memory offloading
Impact on running large parameter models
Challenges of large models on conventional hardware
How Solidigm's SSDs optimize performance
Industry examples of AI solutions utilizing advanced storage
Success stories highlighting SSD impact
Predictions for storage innovations beyond 2025
Potential impact of emerging technologies
Recap of critical concepts
Final thoughts on storage's role in future AI developments
Subjects
Computer Science
