Storage is the foundation of every AI strategy. Impossible Cloud shows in this webinar which blind spots around performance, cost and sovereignty are most commonly overlooked in practice. Many organizations plan GPUs, models and use cases assuming their infrastructure is AI-ready. That is exactly where the critical risks emerge.
28 min
June 2026
Available in x languages
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Many organizations plan their AI strategy around models, GPUs and use cases — assuming their infrastructure can keep pace. That is exactly where the greatest risks emerge: around performance, cost, control and resilience.
Dr. Lennart Gaida, Director Strategy & Innovation at Impossible Cloud, shows in this webinar which blind spots are most commonly overlooked in practice. From bottlenecks in the data pipeline to hidden costs from API calls and egress, through to sovereignty and resilience.
The session gives IT decision-makers and organizations a concrete framework to treat AI infrastructure not as an afterthought, but as the foundation from the start.
What you’ll learn
• Blind Spot #1: Your GPUs are fast. Your data pipeline might not be.
• Blind Spot #2: You budget for compute. But data transfer drives the bill.
• Blind Spot #3: Sovereignty doesn't end at the model. It starts with the data.
• Blind Spot #4: The encryption is visible. The manipulation often isn't.
• Blind Spot #5: AI projects rarely fail in the pilot phase. They fail when they scale.
speaker
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Dr. Lennart Gaida