Why Storage Matters to AI in 2025

Übersicht

As we look towards 2025, the significance of storage in AI workflows becomes increasingly apparent. This event offers insights into the pivotal function of storage—from data ingestion to inference—and highlights how Solidigm's innovative SSD solutions are transforming AI capabilities.

Discover how these advancements facilitate the execution of 70B parameter models on less powerful hardware by utilizing cutting-edge memory offloading techniques.

Join us on YouTube to delve into the future of AI and understand the advancements in storage technology that are shaping the landscape of artificial intelligence. Whether you are a student, professional, or enthusiast in the realms of Artificial Intelligence and Computer Science, this event provides valuable knowledge and perspectives that are crucial in the evolving AI ecosystem.

Lehrplan

• Introduction to AI and Storage
Overview of AI workflows and data processing
Importance of data storage in AI
• Key Storage Challenges in AI
Data ingestion and management
Scalability and efficiency
• Storage Technologies in AI
Overview of current storage solutions
Evolution of storage technologies by 2025
• Solidigm's SSD Solutions
Introduction to Solidigm's innovations
Benefits of using SSDs in AI workloads
• Memory Offloading Techniques
Explanation of memory offloading
Impact on running large parameter models
• Running 70B Parameter Models
Challenges of large models on conventional hardware
How Solidigm's SSDs optimize performance
• Case Studies and Real-World Applications
Industry examples of AI solutions utilizing advanced storage
Success stories highlighting SSD impact
• Future Trends in AI Storage
Predictions for storage innovations beyond 2025
Potential impact of emerging technologies
• Course Summary and Key Takeaways
Recap of critical concepts
Final thoughts on storage's role in future AI developments

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Fachgebiete

Computer Science